US20170084175A1 - Cloud-mediated vehicle notification exchange for localized transit events - Google Patents

Cloud-mediated vehicle notification exchange for localized transit events Download PDF

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Publication number
US20170084175A1
US20170084175A1 US15/123,005 US201515123005A US2017084175A1 US 20170084175 A1 US20170084175 A1 US 20170084175A1 US 201515123005 A US201515123005 A US 201515123005A US 2017084175 A1 US2017084175 A1 US 2017084175A1
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US
United States
Prior art keywords
vehicle
transit
location
event
notification
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US15/123,005
Inventor
Scott Sedlik
Raymond Laghaeian
Mark Pendergrast
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Inrix Inc
Original Assignee
Inrix Inc.,
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Inrix Inc., filed Critical Inrix Inc.,
Priority to US15/123,005 priority Critical patent/US20170084175A1/en
Publication of US20170084175A1 publication Critical patent/US20170084175A1/en
Abandoned legal-status Critical Current

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Definitions

  • transit events may arise that relate to a current location and/or a current route of the vehicle, such as a traffic accident; developing traffic congestion; road obstructions, such as debris or wildlife present in a lane of the road; and weather-related conditions, such as ice or flooding.
  • Various techniques may be utilized to notify the user and/or adjust the autonomous control of the vehicle in response to such transit events.
  • a notification of a transit event may be broadcast over a localized broadcast channel, such as a radiofrequency that encodes a voice message that can be played for the user of the message, or a digital signal that encodes a message for the device of the vehicle.
  • a localized broadcast channel such as a radiofrequency that encodes a voice message that can be played for the user of the message, or a digital signal that encodes a message for the device of the vehicle.
  • vehicles may locally communicate with one another using a wireless communication channel, such as localized Wi-Fi or Dedicated Short-Range Communication (DSRC) message broadcast.
  • DSRC Dedicated Short-Range Communication
  • a centralized service may communicate with vehicles over a long-distance channel, such as the internet, and may coordinate the delivery of notifications, such as a weather service that monitors the transit of enrolled vehicles and transmits transit-related weather information to the vehicles.
  • a long-distance channel such as the internet
  • localized broadcast channels are often subject to interference, crosstalk, jamming, spoofing, and interception by unintended third parties.
  • vehicle-to-vehicle communication may be limited by range broadcast restrictions, and may have difficulty scaling to accommodate messaging among a large number of vehicles.
  • communication mediated by a remote server may exhibit a large amount of latency, which may be problematic for the timely delivery of urgent transit event notifications; e.g., it may be difficult to provide a remote server that is capable of scaling to handle potentially millions of vehicles, and also capable of exchanging transit event notifications among such vehicles in a low-latency manner
  • Such techniques involve an architecture where the transit service maintains a set of vehicle area groups, each identifying the vehicles that are associated with each location.
  • the transit service may add the vehicle to the vehicle area group for the location (e.g., a vehicle area group for a portion of a geographic region that includes the reported GPS coordinate).
  • the locations may be defined statically, e.g., as a set of GPS coordinates defining a boundary of a region, or dynamically, e.g., as the site of an event that impacts transit, or an area of traffic congestion.
  • the transit service may identify a current or a dynamically predicted vehicle area group of the vehicle, or may create such a vehicle area group for the vehicle if one does not exist.
  • the transit service may also identify the other vehicles of the vehicle area group; and may broadcast the notification to the other vehicles of the vehicle area group.
  • the server may utilize a websockets architecture, wherein the devices of the respective vehicles connect to the transit service via a websocket that is maintained open and alive without having to exchange keepalive or “ping” messages.
  • the server may receive transit events about a location from a vehicle of the vehicle area group for the location, and may transmit notifications of such transit events to the other vehicles of the vehicle area group via the websockets allocated for each such vehicle.
  • the transit service may efficiently and rapidly exchange transit event notifications among the vehicles of the location in accordance with the techniques presented herein.
  • FIG. 1 is an illustration of an example scenario featuring various techniques for broadcasting notifications about transit events for a location.
  • FIG. 2 is an illustration of an example scenario featuring an architecture for broadcasting notifications about transit events for a location in accordance with the techniques presented herein.
  • FIG. 3 is an illustration of an example method of broadcasting notifications about transit events for a location, in accordance with the techniques presented herein.
  • FIG. 4 is an illustration of a first example system for broadcasting notifications about transit events for a location, in accordance with the techniques presented herein.
  • FIG. 5 is an illustration of a second example system for broadcasting notifications about transit events for a location, in accordance with the techniques presented herein.
  • FIG. 6 is an illustration of an example computer-readable medium comprising processor-executable instructions configured to embody one or more of the provisions set forth herein.
  • FIG. 7 is an illustration of a first example technique for detecting transit events arising within a location, in accordance with the techniques presented herein.
  • FIG. 8 is an illustration of a second example technique for detecting transit events arising within a location, in accordance with the techniques presented herein.
  • FIG. 9 is an illustration of an example technique for rebroadcasting transit events arising within a location, in accordance with the techniques presented herein.
  • FIG. 10 is an illustration of an example technique for broadcasting notifications of transit events to several vehicle area groups, in accordance with the techniques presented herein.
  • FIG. 11 is an illustration of an example technique for notifying a user about a transit event for a location, in accordance with the techniques presented herein.
  • FIG. 12 is an illustration of an example computing environment wherein one or more of the provisions set forth herein may be implemented.
  • FIG. 1 is an illustration of an example scenario 100 featuring a user 102 of a vehicle 104 operated in an area 108 , such as a span of a road, alongside other vehicles 104 operated by drivers 106 .
  • a transit event 110 may occur, such as a vehicular accident between two vehicles 104 , that interferes with transit in the area 108 .
  • a variety of such transit events 110 may arise, such as obstructions to transit through the area 108 (e.g., the development of traffic congestion due to heavy vehicular volume, construction, or a failure of traffic signals; debris or wildlife located in a lane of the road; or weather-related events, such as flooding or the formation of ice on the road).
  • Many techniques may be devised to distribute such notification of transit events 110 , some of which are illustrated in the example scenario 100 of FIG. 1 .
  • information about the transit event 110 may be broadcast by a regional broadcast tower 112 using a local broadcast messaging channel, such as a selected radiofrequency over which messages may be encoded and broadcast at high power to reach a large region.
  • a local broadcast messaging channel such as a selected radiofrequency over which messages may be encoded and broadcast at high power to reach a large region.
  • Such messages may be distributed, e.g., as human-perceivable audio messages that are received by a radio within each vehicle 104 ; encoded text messages that are received by a device with a text display for presentation to the user 102 and drivers 106 of the vehicles 104 ; and/or encoded signals to be received and interpreted by an autonomous control system of the vehicle 104 .
  • a regional broadcast service may transmit notifications 114 over a traffic message channel (TMS) of all transit events 110 occurring throughout the region including the area 108 , such as construction, vehicular accidents, and/or traffic congestion.
  • TMS traffic message channel
  • a first vehicle 104 may include a sensor that detects a transit event 110 such as a vehicular accident, and a vehicle-to-vehicle communication device comprising a transmitter 116 that detects the transit event 110 and transmits a notification 114 to a receiver 120 on board the vehicle 104 of the user 102 through a localized messaging channel, such as a low-broadcast radiofrequency (RF) channel, using a protocol such as Wi-Fi.
  • the transmitter 120 may receive the notification 114 and utilize it in various ways, such as notifying the user 102 or adjusting an autonomous control system (e.g., reducing a cruise control speed, or engaging emergency braking). In this manner, various techniques may be utilized to exchange notifications 114 of transit events 110 to the drivers 106 of vehicles 104 and users 102 on board vehicles 104 in the area 108 .
  • a regional broadcast tower 112 may broadcast a set of notifications 114 applicable throughout the region, but such broadcasting may be nonspecific, and may include information that is not applicable to some, and possibly a large proportion, of the receivers including the user 102 and other drivers 106 .
  • the regional broadcast tower 112 encodes the transit event 110 for the area 108 , but also includes information about a second transit event 110 that occurs in a distant area 108 , and is likely not relevant to the user 102 or the other drivers 106 .
  • the inclusion of extraneous information may desensitize the user 102 and/or other drivers 106 to the provided information, who may then miss the notification 114 of the transit event 110 that is relevant to their transit.
  • the provision of the regional broadcast tower 112 to provide notifications 114 for all transit events 110 within a large region may delay the delivery of a time-sensitive notification 114 ; e.g., it may be desirable to distribute a notification 114 of the vehicular accident to the user 102 and drivers 106 of the area 108 as quickly as possible, but if the notification 114 is one of a dozen such notifications for an entire region, the delivery may be delayed and may fail to present the notification in time for the user 102 , other drivers 106 , and autonomous control systems of the vehicles 104 to react.
  • the localized vehicle-to-vehicle transmission as illustrated in the second example 124 may be more localized and selective than the regional broadcast tower 112 , but its utility may be limited by a variety of factors.
  • broadcast restrictions on localized broadcast messaging channels e.g., federal regulations on the maximum power of unlicensed radiofrequency transmissions
  • low-power localized broadcast messaging channels may be unreliable due to a variety of factors, such as interference, crosstalk with other applications, jamming, spoofing, and/or interception by unintended individuals.
  • a vehicle-to-vehicle communication system is unlikely to be effective for exchanging a large number of messages 114 among a large population of transmitters 116 (e.g., traffic congestion may feature hundreds of vehicles 104 that are attempting to transmit notifications 114 concurrently to hundreds of other vehicles 104 , and the continuous exchange of notifications 114 over the same range of localized broadcast messaging channels may severely limit the successful delivery of such notifications 114 ).
  • a remote server may receive notifications 114 of transit events 110 , and may rebroadcast such notifications 114 to vehicles 114 within a particular area 108 .
  • the architecture of such centralized services may affect the capabilities of such broadcast notification systems.
  • a remote server may be tasked with exchanging messages 114 among millions of vehicles 104 , and may therefore incur latency in achieving such delivery, e.g, while figuring out the subset of the millions of vehicles 104 is to receive the notification 114 .
  • Latency may not be a significant issue with other scenarios, such as email messages and text messages, where latency of several seconds may be acceptable and not even noticeable; however, in the context of exchanging potentially urgent messages among vehicles 104 , latency may significantly reduce the value of the transit service.
  • FIG. 2 is an illustration of an example scenario 200 featuring techniques for exchanging notifications 114 of transit events 110 among the users 102 , drivers 106 , and vehicles 104 of an area 108 .
  • a transit service 202 is provided that is in communication with devices aboard the vehicles 104 traveling in the area 108 , and may participate in the exchange of notifications of transit events 110 in the area 108 that affect such vehicles 104 .
  • the transit service 202 associates the respective vehicles 104 within the area 108 with a particular location 204 , such as a defined span of a highway (e.g., between specified kilometer markers).
  • the transit service 202 may create a vehicle area group 206 identifying the vehicles 104 that are in transit within the location 204 .
  • the respective vehicles 104 may report to the transit service 202 a current location of the vehicle 104 , such as a global positioning system (GPS) coordinate, and the transit service 202 may determine the location 204 encompassing the current location of the vehicle 104 , and then add the vehicle 104 to the vehicle area group 206 for the location 204 .
  • a transit event 110 may arise that is detected by a device on board a vehicle 104 , which transmits a notification 208 of the transit event 110 to the transit service 202 .
  • the transit service 202 may identify the vehicle area group 206 of the vehicle 106 reporting the transit event 110 , and the other vehicles 104 of the vehicle area group 206 .
  • the transit service 202 may then broadcast a notification 210 of the transit event 110 to the other vehicles 104 within the vehicle area group 206 for the location 204 .
  • the transit event 110 may be relevant to a subset of the vehicles 104 communicating with the transit service 202 (e.g., vehicles 1 , 2 , and 3 , wherein vehicle 3 reports the transit event 110 to the transit service 202 ), and not relevant to other vehicles 104 that are farther away from the site of the transit event 110 , such as vehicles 4 and 5 .
  • the transit service 202 may selectively broadcast the notification 210 to vehicles 1 and 2 , and may refrain from broadcasting the notification 210 to vehicle 3 (which initiated the notification 208 of the transit event 110 ) and/or vehicles 4 and 5 (which are not in the same vehicle area group 206 ).
  • the transit service 110 may utilize a cloud-based architecture for broadcasting notifications 210 of transit events 110 to the vehicles 104 of the location 204 affected by the transit event 110 , and may do so by utilizing the pre-formed vehicle area group 206 that identifies such vehicles 104 , in accordance with the techniques presented herein.
  • the techniques provided herein may enable a more reliable transmission of notifications 210 of transit events 110 to the vehicles 104 with the location 204 affected by the transit event 110 than localized broadcast message channels, which may be limited by such factors as range restrictions and interference.
  • the techniques presented herein may utilize an internet connection of a mobile device for the exchange of notifications 210 , and internet connectivity may be both more well-developed and more ubiquitous than specialized equipment and support for a localized broadcast message channel such as traffic messaging systems (TMS).
  • TMS traffic messaging systems
  • the techniques provided herein may enable greater selectivity of the transmission of notifications 210 , i.e., limiting the transmission of notifications 210 to the vehicles 104 that are affected by the transit event 110 .
  • selectivity may raise the signal-to-noise ratio of the notification system; may conserve the computational and messaging resources utilized in such delivery; and/or may enable faster delivery of such notifications 210 (e.g., by avoiding circumstances where the transmission of a first notification 210 that is relevant to the vehicles 104 in a particular location 204 is delayed by the transmission of a second notification 210 that does not apply to the vehicles 104 or the location 204 ).
  • the techniques provided herein may scale to support a large number of vehicles 104 and/or transit events 106 , without incurring scalability penalties such as latency.
  • a transit service 202 that receives a notification 208 and may utilize readily-available vehicle area groups 206 to determine the other vehicles 104 that are to receive the broadcast notification 210 may achieve such delivery faster than a transit service 202 that, ad-hoc, identifies the vehicles 104 to receive the broadcast notification 210 among a potentially large set of millions of vehicles 104 .
  • Many such technical effects may arise from the broadcasting of notifications 210 of transit events 110 in accordance with the techniques presented herein.
  • FIG. 3 presents a first example embodiment of the techniques presented herein, illustrated as an example method 300 of broadcasting localized transit events 110 detected during transit of a vehicle 104 .
  • the example method 300 may be implemented on a device having a processor, and that is in communication with a transit service 202 having information about the locations 206 of the area 108 .
  • the example method 300 may be implemented, e.g., as a set of instructions stored in a memory component of the device (e.g., a memory circuit, a platter of a hard disk drive, a solid-state memory component, or a magnetic or optical disc) that, when executed by the processor of the device, cause the device to perform the techniques presented herein.
  • a memory component of the device e.g., a memory circuit, a platter of a hard disk drive, a solid-state memory component, or a magnetic or optical disc
  • the example method 300 begins at 302 and involves executing 304 the instructions on the processor. Specifically, the instructions cause the device to detect 306 a location 204 of the vehicle 104 . The instructions also cause the device to transmit the location 204 to the transit service 202 to add the vehicle 104 to a vehicle area group 206 for the location 204 . The instructions also cause the device to, upon detecting a transit event 110 in the location 204 of the vehicle 104 , transmit 310 the transit event 110 to the transit service 202 for broadcasting to other vehicles 104 of the vehicle area group 206 .
  • the instructions also cause the device to, upon receiving from the transit service 202 a notification 210 of a transit event 110 for the vehicle area group 206 , utilize 312 the notification 210 in the transit of the vehicle 104 .
  • the example method 300 enables the vehicle 104 to participate in the exchange of notifications 210 about the transit events 110 arising within the area 108 through interaction with a travel service 202 provided in accordance with the techniques presented herein, and so ends at 314 .
  • FIG. 4 presents an illustration of an example scenario 400 featuring a second example embodiment of the techniques presented herein, illustrated as an example server 402 comprising a system 410 that provides a transit service 202 to a set of vehicles 104 .
  • the example system 410 may be implemented, e.g., on a server 402 having a processor 404 , a memory 408 , and a vehicle communicator 406 that communicates with the vehicles 104 .
  • a portion of the server 402 and/or traffic service 202 may be located within the vehicle 104 of the user 102 , and/or may be located at a remote location.
  • Respective components of the example system 410 may be implemented, e.g., as a set of instructions stored in a memory 408 of the server 402 and executable on the processor 404 of the server 402 , such that the interoperation of the components causes the server 402 to operate according to the techniques presented herein.
  • the example system 410 comprises a vehicle area group manager 412 , which, upon receiving a location 204 of a vehicle 104 , adds the vehicle 104 to a vehicle area group 210 for the location 204 .
  • the system 410 also comprises a transit event broadcaster 414 , which, upon receiving, from a vehicle 104 , a notification 208 of a transit event 110 for the location 204 , identifies at least one other vehicle 104 of the vehicle area group 206 , and broadcasts to the at least one other vehicle 104 of the vehicle area group 206 a notification 210 of the transit event 110 .
  • the example system 410 provides a travel service 202 that facilitates the exchange of notifications 210 about the transit events 110 of the location 204 in accordance with the techniques presented herein.
  • FIG. 5 presents an illustration of an example scenario 500 featuring a third example embodiment of the techniques presented herein, illustrated as an example vehicle device 502 featuring an example system 514 that enables a vehicle 104 to exchange notifications 210 with other vehicles 104 about transit events 110 arising in the location 204 of the vehicles 104 .
  • the example system 514 may be implemented, e.g., on a vehicle device 502 having a processor 504 ; a memory 512 ; a location detector 506 that detects a location 204 of the vehicle 104 (e.g., a global positioning system (GPS) coordinate); a transit service communicator 508 that communicates with a transit service 202 (e.g., a wireless network adapter that is connected to the transit service 202 via an internet connection); and a transit event detector 510 that detects a transit event 110 in the location 204 of the vehicle 104 .
  • GPS global positioning system
  • Respective components of the example system 514 may be implemented, e.g., as a set of instructions stored in the memory 512 of the vehicle device 502 and executable on the processor 504 of the vehicle device 502 , such that the interoperation of the components causes the vehicle device 502 to operate according to the techniques presented herein.
  • the example system 514 comprises a transit service interface, which transmits the location 204 of the vehicle 104 , via the transit service communicator 508 , to the transit service 202 in order to add the vehicle 104 to a vehicle area group 206 for the location 204 , and also transmits to the transit servicer 202 , via the transit service communicator 508 , a notification 208 of the transit event 110 for broadcasting to other vehicles 104 of the vehicle area group 206 .
  • the example system 514 also comprises a local event notifier 518 , which, upon receiving from the transit service 202 a notification 210 of a transit event 110 for the vehicle area group 206 , utilizes the notification 210 in the transit of the vehicle 104 (e.g., by presenting the notification 210 to the user 102 ; by adjusting an autonomous control system of the vehicle 104 ; and/or by adjusting a route selected by the user 102 to reach a destination). In this manner, the example system 514 may enable the vehicle device 502 to exchange notifications 210 about the transit events 110 arising within the location 204 in accordance with the techniques presented herein.
  • Still another embodiment involves a computer-readable medium comprising processor-executable instructions configured to apply the techniques presented herein.
  • Such computer-readable media may include, e.g., computer-readable storage media involving a tangible device, such as a memory semiconductor (e.g., a semiconductor utilizing static random access memory (SRAM), dynamic random access memory (DRAM), and/or synchronous dynamic random access memory (SDRAM) technologies), a platter of a hard disk drive, a flash memory device, or a magnetic or optical disc (such as a CD-R, DVD-R, or floppy disc), encoding a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein.
  • a memory semiconductor e.g., a semiconductor utilizing static random access memory (SRAM), dynamic random access memory (DRAM), and/or synchronous dynamic random access memory (SDRAM) technologies
  • SSDRAM synchronous dynamic random access memory
  • Such computer-readable media may also include (as a class of technologies that are distinct from computer-readable storage media) various types of communications media, such as a signal that may be propagated through various physical phenomena (e.g., an electromagnetic signal, a sound wave signal, or an optical signal) and in various wired scenarios (e.g., via an Ethernet or fiber optic cable) and/or wireless scenarios (e.g., a wireless local area network (WLAN) such as WiFi, a personal area network (PAN) such as Bluetooth, or a cellular or radio network), and which encodes a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein.
  • WLAN wireless local area network
  • PAN personal area network
  • Bluetooth a cellular or radio network
  • FIG. 6 An example computer-readable medium that may be devised in these ways is illustrated in FIG. 6 , wherein the implementation 600 comprises a computer-readable medium 602 (e.g., a CD-R, DVD-R, or a platter of a hard disk drive), on which is encoded computer-readable data 604 .
  • This computer-readable data 604 in turn comprises a set of computer instructions 606 configured to operate according to the principles set forth herein.
  • the computer instructions 606 may cause the device 610 to utilize a method of exchanging notifications 210 of transit events 110 within a location 204 with other vehicles 104 in the location 206 , such as the example method 300 of FIG. 3 .
  • the computer instructions 606 may provide a system for providing a transit service 202 to a set of vehicles 104 operating in a location 204 , such as the example system 410 in the example scenario 400 of FIG. 4 .
  • the computer instructions 606 may provide a system for exchanging notifications 210 of transit events 110 within a location 204 with other vehicles 104 in the location 206 , such as the example system 514 in the example scenario 500 of FIG. 5 .
  • Many such computer-readable media may be devised by those of ordinary skill in the art that are configured to operate in accordance with the techniques presented herein.
  • the techniques discussed herein may be devised with variations in many aspects, and some variations may present additional advantages and/or reduce disadvantages with respect to other variations of these and other techniques. Moreover, some variations may be implemented in combination, and some combinations may feature additional advantages and/or reduced disadvantages through synergistic cooperation. The variations may be incorporated in various embodiments (e.g., the example method 300 of FIG. 3 ; the example system 410 of FIG. 4 ; the example system 512 of FIG. 5 ; and the example computer-readable storage device 602 of FIG. 6 ) to confer individual and/or synergistic advantages upon such embodiments.
  • a first aspect that may vary among embodiments of these techniques relates to the scenarios wherein such techniques may be utilized.
  • the techniques presented herein may be used with many types of vehicles 104 , including automobiles, motorcycles, trucks, trains, buses, watercraft, aircraft, drones, and spacecraft.
  • vehicles may be controlled by one or more humans, may be autonomous, or may involve a combination thereof, such as an autonomous automobile that can also be controlled by a human.
  • the techniques presented herein may be utilized to provide advise users 102 of events occurring in many types of areas 108 and/or locations 202 , such as a roadway, highway, sidewalk, dirt or grass path, waterway, and airspace.
  • areas 108 may also be defined statically, e.g., as the boundary of a municipality or a set of global positioning system (GPS) coordinates that define the boundaries of an area 108 , may be defined dynamically, e.g., as an area 108 where an event such as a convention is occurring, or an area 108 where traffic congestion has been detected.
  • GPS global positioning system
  • the techniques presented herein may be utilized to exchange notifications 210 about many types of transit events 110 occurring in an area 108 , such as vehicular accidents; the formation of traffic congestion, such as due to high vehicle volume or construction; an obstruction, such as debris or wildlife; a hazardous condition in the location 204 , such as a fire; and weather events, such as the formation of ice or flooding.
  • many such variations may arise within the set of scenarios in which the techniques presented herein may be utilized.
  • a second aspect that may vary among embodiments of these techniques involves the detection of the occurrence of the transit event 110 , including information about the transit event 110 that may advise the other vehicles 104 as to how to respond to the transit event 110 .
  • a vehicle device may receive a report of a transit event 110 directly from the user 102 within the vehicle 104 .
  • the user 102 may initiate a voice report of an observed transit event 110 , and the vehicle device may transmit the voice report of the user 102 to the transit service 202 .
  • a vehicle device may evaluate telemetry of the vehicle 104 to detect a transit event 110 .
  • telemetry indicating that the user 102 has engaged windshield wipers or fog lamps may indicate the presence of transit-affecting weather conditions in the location 204
  • telemetry indicating an engagement of an anti-lock braking system in a particular location 204 may indicate a transit event 110 involving the formation of ice on a road surface of in the location 204
  • FIG. 7 presents an illustration of an example scenario 700 featuring a third variation of this second aspect, involving a proximity sensor that generates proximity data indicating a proximity of the vehicle to a second vehicle, and a proximity data evaluator that evaluates the proximity data to identify the transit event 110 .
  • a lane of a road occupied by a vehicle 104 of the user 102 is detected according to a proximity sensor 702 of the vehicle 104 .
  • Such proximity sensors 702 may utilize a variety of techniques for such detection, including visual evaluation of camera data; ranging data gathered by sonar, radar, and/or lidar detection; and/or electronic communication with other vehicles 104 in the location 204 .
  • the vehicle 104 is equipped with a proximity sensor 702 that detects a proximity of the vehicle 104 with respect to other vehicles 104 operating in the location 204 , such as a distance 704 between the vehicle 104 and another vehicle 104 that is ahead of and/or behind the vehicle 104 of the user 102 ; the relative speeds of the vehicles 104 ahead of and/or behind the user 102 ; and/or the rates of acceleration, braking, turning, and/or swerving by the user 102 and the drivers 106 of the other vehicles 104 .
  • a proximity sensor 702 that detects a proximity of the vehicle 104 with respect to other vehicles 104 operating in the location 204 , such as a distance 704 between the vehicle 104 and another vehicle 104 that is ahead of and/or behind the vehicle 104 of the user 102 ; the relative speeds of the vehicles 104 ahead of and/or behind the user 102 ; and/or the rates of acceleration, braking, turning, and/or swerving by the user 102 and the drivers 106 of
  • the proximity sensor 702 may also detect information about vehicles 104 in other lanes of the road, such as the relative or absolute speeds of vehicles 104 in adjacent lanes and/or passing in the other direction of transit, and/or whether or not such vehicles 104 are passing 706 and/or are being passed by the vehicle 104 . Moreover, such proximity data may be evaluated to detect a transit event 110 . As a first such example, the proximity sensor 702 may detect one or more vehicles 104 that are stationary in an adjacent lane, in the median of the road, and/or off to the side of the road, may indicate the occurrence of a vehicular accident and position thereof in the location 204 .
  • the proximity sensor 702 may detect sudden changes in the proximity of the vehicles 104 indicating a transit event 110 , such as a rapid deceleration of a vehicle 104 behind the vehicle 104 of the user 102 that indicates a collision.
  • the vehicle device 708 may utilize the proximity sensor 704 to detect such transit events 110 , and may send a notification 208 of the transit events 110 to the transit service 202 .
  • FIG. 8 presents an illustration of example scenarios featuring a fourth set of variations of this second aspect, wherein a transit event 110 is detected by machine vision techniques 808 .
  • a vehicle device 708 on board the vehicle 104 may include and/or be in communication with a forward-mounted camera 802 that captures a forward-facing image 804 (e.g., through a windshield 806 of the vehicle 104 ).
  • a machine vision technique 808 such as an object recognition algorithm, may be applied to the image 804 , such as an object recognition technique that recognizes vehicles 104 ; extrapolates their positions within the location 204 , and/or details such as their directions, speeds, and acceleration; and, by modeling their positions, identifies that a collision has occurred.
  • a second machine vision technique 808 may be applied that utilizes a line detection algorithm to detect visible lines of the road that indicate lanes, including a current lane of the vehicle 104 of the user 102 .
  • the position of the vehicle 104 on the road may therefore be extrapolated by the machine vision technique 808 , and this information may be utilized to provide additional information about the transit event 110 (e.g., which lane(s) the transit event 110 affects) and/or to adjust the navigation of the vehicle 104 and/or advise the user 102 (e.g., determining whether the current lane of the vehicle 104 avoids or is obstructed by the transit event 110 ).
  • machine vision techniques may be applied to the image 804 to about the transit event 110 , such as object recognition to detect and optionally count a number of visible vehicles 104 ahead of the vehicle 104 of the user 102 in the respective lanes as a measurement of traffic congestion, and/or visual sizing machine vision techniques that estimate a distance of vehicles 104 ahead of the vehicle 104 of the user 102 .
  • a downward-facing camera 802 may capture a downward-facing image 804 of the location 204 ; an object recognition algorithm may be applied to detect objects that are visible on the surface of the road and that may indicate a transit event 110 , such as ice, water, debris, or potholes; and a line detection machine vision technique 808 may be utilized to detect the visible lines indicating the lanes of the road, and/or the current lane that is currently occupied by the vehicle 104 of the user 102 . Many such techniques may be utilized to detect and describe transit events 110 occurring within the location 204 of the vehicle 104 for reporting to the transit service 202 in accordance with the techniques presented herein.
  • a third aspect that may vary among embodiments of the techniques presented herein involves the manner of exchanging notifications 210 of transit events 110 among the vehicles 104 and the transit service 202 .
  • vehicle devices and travel service 202 may communicate through a wide range of communication channels, such as electromagnetic wave transmissions at various frequencies.
  • Such communication channels may also be utilized to exchange notifications 210 encoded in various ways, such as a human-receivable voice or tone; a human-readable message, such as text, images, and/or video; encoded data that describes the transit event 110 , such as an extensible markup language (XML) providing fields that identify properties of the transit event 110 such as its precise location, type, and severity; and/or encoded data that provides instructions for autonomous control of a vehicle navigation system, such as instructions to engage a braking system to slow or halt the vehicle 104 , and/or instructions to re-route the transit of the vehicle 104 through an alternative area.
  • XML extensible markup language
  • a vehicle communicator 406 of a server 402 providing the travel service 202 may comprise an internet connection that communicates with vehicle devices through the internet using a websocket protocol.
  • a vehicle area group manager 412 may, in addition to adding a vehicle 104 to a vehicle area group 206 , allocate a websocket to communicate with the vehicle 104 through the internet using the websocket protocol; and the transit event broadcaster 414 may broadcast the notification of the transit event 110 to the respective vehicles 104 through the respective websockets.
  • the transit service communicator 508 of a vehicle 104 may further comprise an internet connection through which the transit service communicator 508 communicates with the transit service 202 using a websocket protocol, and the local event notifier 518 may receive the notification 210 of the transit event 110 from the transit service 202 through a websocket of the websocket protocol that has been allocated to communicate with the transit service 202 .
  • a protocol such as websockets may enable further advantages, such as a reduced reliance on ping or keepalive messages to maintain the communication channel; as a result, the communication resources (e.g., radiofrequency bandwidth) may be conserved for the actual exchange of notifications 210 of transit events 110 , which may also reduce the latency in the delivery of such notifications 210 , and the scalability to support broadcasting to a large number of vehicles 104 in a particular location 204 with reduced interference.
  • Websockets may also be advantageous due to the greater incidence of interruption of connectivity of vehicles 104 in transit, since ephemeral lapses in connectivity may not necessitate the exchange of network communication, but may be tolerated as part of the transit service 202 .
  • a transit service 202 may, upon receiving from the vehicle a first location 204 , determine whether a vehicle area group 206 exists for the first location 204 , and upon determining that a vehicle area group 206 does not exist for the first location 204 , create a vehicle area group 206 for the first location 204 .
  • the transit service 202 may also, upon receiving from the vehicle 104 a second location 204 of the vehicle 204 (e.g., an updated global positioning service (GPS) coordinate), determine whether the second location 204 is also associated with the vehicle area group 206 ; and upon determining that the second location 204 is not associated with the vehicle area group 206 , remove the vehicle 104 from the vehicle area group 206 for the first location 204 (e.g., transferring the association of the vehicle 104 from the first vehicle area group 206 for the first location 204 to a second vehicle area group 206 for the second location 204 ).
  • GPS global positioning service
  • FIG. 9 presents an illustration of an example scenario 900 featuring a third set of variations of this third aspect involving the broadcasting of various notifications 208 of transit events 110 for a location 204 .
  • the transit service 202 may be utilized to retransmit notifications 208 generated by other services, and vice versa.
  • a vehicle device 706 may further comprise a local transit event rebroadcaster that locally rebroadcasts the notification 206 of the transit event 110 over a localized broadcast messaging channel.
  • a vehicle device 2706 may utilize a transmitter 116 broadcast the notification 208 using a local broadcast messaging channel, such as a local, low-power radiofrequency (RF) broadcast, or a directed vehicle-to-vehicle communication channel.
  • RF radiofrequency
  • a receiver 120 within a second vehicle 104 that is not enrolled in the transit service 202 , and/or that is enrolled but that is not in communication with the transit service 202 due to a temporary communication interruption, may therefore receive the local broadcast.
  • a localized broadcast channel monitor may be utilized to monitor a localized broadcast messaging channel, such as broadcasts by a regional broadcast tower 112 (e.g., a traffic message channel (TMS) broadcaster), and may retransmit notifications 210 of transit events 110 received through such a localized broadcast messaging channel to the transit service 202 for rebroadcasting to the other vehicles 104 of the vehicle area group 206 for the location 204 involved in the transit event 110 .
  • the transit service may remotely monitor sources of information about transit events 110 , such as traffic message channel (TMS) information provided over the internet, and may broadcast notifications 210 of transit events 110 according to the vehicle area groups 206 for the locations 204 involved in the transit events 110 .
  • TMS traffic message channel
  • Such broadcasting may enable delivery of the localized broadcast message to other vehicles 104 that are not monitoring the localized broadcast messaging channel, but that are in communication with the transit service 202 .
  • the transit service 202 and/or the vehicle device 706 may also provide information to other services for transmission via localized broadcast messaging channels. For example, upon receiving a notification 208 from a vehicle 104 in a location 204 of a transit event 110 , the transit service 202 may, in addition to broadcasting a notification 210 to the vehicles 104 of the vehicle area group 206 , transmit the notification 210 to the regional broadcast tower 112 for regional rebroadcast. Alternatively, the vehicle device 706 may transmit the notification 208 to the to the regional broadcast tower 112 for regional rebroadcast.
  • Such rebroadcasting techniques may coordinate the exchange of notifications 210 among the vehicles 104 enrolled in the transit service 202 with the exchange of notifications 210 among other vehicles 104 that are not enrolled in the transit service 202 , and/or that have lost communication with the transit service 202 .
  • FIG. 10 presents an illustration of an example scenario 1000 featuring further variations of this third aspect involving the broadcasting of various notifications 208 of transit events 110 for various locations 204 .
  • the transit service 202 may also determine other recipients of the information to which the notification 210 of the transit event 110 may apply.
  • the transit service 202 receives a notification 208 of a multi-vehicle accident in a particular location 204 , and, in addition to identifying the vehicles 104 within the vehicle area group 206 for the third location 204 , may evaluate a second location 204 that may also be affected by the transit event 110 , such as a distant stretch of the road that approaches the site of the transit event 110 ; an entrance ramp of a nearby road that leads to the transit event 110 ; or a second road that passes over or under the site of the transit event 110 .
  • the transit service 202 may determine whether the transit event 110 applies to the vehicles 104 of the second location 204 , and may broadcast the notification 210 to the vehicles 104 in the vehicle area group 206 of the second location 204 .
  • a weather-related event that is detected in a first location 204 may be projected as following a weather pattern (such as a wind direction) that is likely to affect a second location 204 , and the transit service 202 may broadcast the notification 210 to the vehicles 104 in the vehicle area group 206 for the second location 204 .
  • the notification 210 may be updated to reflect a recommendation to the vehicles 104 , including the user 104 and the other drivers 106 , as to how to respond to the transit event 110 .
  • the second location 204 features a detour option 1002 for avoiding the location of the transit event 110 , such as an exit ramp, an alternate route, or a second lane of a road that is not affected by the transit event 110 that impacts a first lane of the road.
  • the transit service 220 may therefore add, to the notification 210 broadcast to the vehicles 104 of the vehicle area group 206 , a recommendation 1004 to take the detour option 1002 to avoid the location 204 of the transit event 110 .
  • the transit service 202 may be configured to notify first responders as to the occurrence of a transit event 110 , where such first responders provide a first response service relating to the transit event 110 for the location 204 .
  • the transit service 202 may evaluate the information about the transit event 110 and may determine whether police, fire control personnel, medical personnel, tow trucks, or mechanics are to be directed to the location 204 of the transit event 110 .
  • the transit service 202 may therefore generate a notification 1006 to the first responders 1008 , and may transmit the notification 1006 of the transit event 110 to the first responders 1008 .
  • the transit service 202 may comprise a transit event verifier that endeavors to verify the transit events 110 reported by respective vehicles 104 .
  • a transit event 110 involving a sudden braking incident by a vehicle 104 may indicate a transit event 110 such as an accident or ice, for which a notification 210 of the transit event 110 is to broadcast.
  • the sudden braking may also indicate a transient event, such as a brief encounter with wildlife, or a vehicle or driver error, such as accidentally activating the brakes or misperceiving the presence of a vehicle in a nearby lane.
  • the transit service 202 may endeavor to verify the transit event 110 by identifying a second vehicle 104 of the vehicle area group 206 that is capable of verifying the transit event 110 , and transmitting to the second vehicle 104 a request to verify the transit event 110 (e.g., by asking the driver 106 of the second vehicle 104 to confirm or refute the transit event 110 , and/or by utilizing sensors of the second vehicle 104 ).
  • the broadcasting of the notification 210 may be contingent upon first receiving a verification of the transit event 110 from the second vehicle 104 .
  • the transit service 202 may utilize various techniques to anonymize the vehicle 104 that transmitted the notification 208 of the the transit event 110 .
  • the transit service 202 may extrapolate the GPS coordinate transmitted by the vehicle 104 to the GPS coordinate of the transit event 110 , and may include the latter GPS coordinate but not the former GPS coordinate that identifies which vehicle 104 transmitted the transit event 110 .
  • the transit service 202 may remove identifying features of such media before broadcast to the other vehicles 104 of the vehicle area group 206 .
  • Many such techniques may be included in the exchange of notifications 210 of transit events 110 in accordance with the techniques presented herein.
  • a fifth aspect that may vary among embodiments of the techniques presented herein involves the manner of utilizing a transit event during the transit of the vehicle 104 , such as advising a user 102 of the occurrence and details of a transit event 110 .
  • information about the transit event 110 may be described to the user 102 in a variety of ways.
  • the transit event 110 may be described in absolute terms (e.g., “warning: accident at northbound 14 kilometer mark”) or in relative terms (e.g., “warning: accident one kilometer ahead”), and may include a recommendation to the use 102 to adjust the control of the vehicle 104 (e.g., “reduce speed by 10 kph” or “engage fog lamps”).
  • the device 202 may or may not explain the basis of a recommendation responsive to the transit event 110 , e.g., why the user 102 is advised to choose an alternate route or lane of a road.
  • a vehicle device 708 may either present the recommendation (e.g., “recommendation: maintain current lane”), or may defer such recommendation until detecting that the user 102 is considering transitioning to a different lane (e.g., upon detecting the user's activation of a turn signal).
  • the transit of the vehicle 104 may be controlled by a vehicle control system according to a driving behavior profile, and the transit event 110 may prompt the vehicle 104 to the driving behavior profile of the vehicle control system in response to the transit event 110 (e.g., reducing a cruise-control speed of the vehicle 104 , engaging a braking system, and/or adjusting a route for the transit of the vehicle 104 to choose an alternative route that avoids the transit event 110 ).
  • the transit event 110 may prompt the vehicle 104 to the driving behavior profile of the vehicle control system in response to the transit event 110 (e.g., reducing a cruise-control speed of the vehicle 104 , engaging a braking system, and/or adjusting a route for the transit of the vehicle 104 to choose an alternative route that avoids the transit event 110 ).
  • FIG. 11 presents an illustration of a set of exemplary scenarios 1100 whereby a vehicle device 708 may notify the user 102 about a transit event 110 .
  • a visual and/or audial indicator may be presented to the user 102 by the vehicle device 708 and/or vehicle 104 , such as a light on the dashboard of the vehicle 104 or an audio or voice cue 1104 prompting the user to select a particular lane 1112 to avoid the transit event 110 .
  • a visual indicator 1110 may be presented on a window 1108 of the vehicle 104 , and, optionally, may be presented at a selected location 1114 on the window 1108 that correlates the visual indicator 1110 with the location 1112 of the transit event 110 through the window 1108 from the perspective of the user 102 (e.g., presenting a visual arrow and/or highlighting the location of the transit event 110 when viewed through the window 1108 by the user 102 ).
  • the user 102 may wear one or more wearable devices while operating the vehicle 104 , such as a pair of eyeglasses 1116 or a wristwatch 1118 .
  • the presentation of the notification 210 of the transit event 110 may be achieved through such wearable devices, e.g., by presenting a visual indicator 1120 within the viewable region of the eyeglasses 1116 worn by the user 102 , and/or issuing a vibration alert 1122 through the wristwatch 1118 of the user 102 to indicate the location of the transit event 110 (e.g., flashing a leftward visual indicator 1120 or a vibration alert 1122 on the user's left wrist to draw the user's attention to the left lane where a transit event 110 has occurred).
  • Many such techniques may be utilized to present to the user 102 the notification 210 of the transit event 110 in accordance with the techniques presented herein.
  • FIG. 12 and the following discussion provide a brief, general description of a suitable computing environment to implement embodiments of one or more of the provisions set forth herein.
  • the operating environment of FIG. 12 is only one example of a suitable operating environment and is not intended to suggest any limitation as to the scope of use or functionality of the operating environment.
  • Example computing devices include, but are not limited to, personal computers, server computers, hand-held or laptop devices, mobile devices (such as mobile phones, Personal Digital Assistants (PDAs), media players, and the like), multiprocessor systems, consumer electronics, mini computers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
  • Computer readable instructions may be distributed via computer readable media (discussed below).
  • Computer readable instructions may be implemented as program modules, such as functions, objects, Application Programming Interfaces (APIs), data structures, and the like, that perform particular tasks or implement particular abstract data types.
  • APIs Application Programming Interfaces
  • the functionality of the computer readable instructions may be combined or distributed as desired in various environments.
  • FIG. 12 illustrates an example of a system 1200 comprising a computing device 1202 configured to implement one or more embodiments provided herein.
  • computing device 1202 includes at least one processing unit 1206 and memory 1208 .
  • memory 1208 may be volatile (such as RAM, for example), non-volatile (such as ROM, flash memory, etc., for example) or some combination of the two. This configuration is illustrated in FIG. 12 by dashed line 1204 .
  • device 1202 may include additional features and/or functionality.
  • device 1202 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic storage, optical storage, and the like.
  • additional storage is illustrated in FIG. 12 by storage 1210 .
  • computer readable instructions to implement one or more embodiments provided herein may be in storage 1210 .
  • Storage 1210 may also store other computer readable instructions to implement an operating system, an application program, and the like.
  • Computer readable instructions may be loaded in memory 1208 for execution by processing unit 1206 , for example.
  • Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions or other data.
  • Memory 1208 and storage 1210 are examples of computer storage media.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by device 1202 . Any such computer storage media may be part of device 1202 .
  • Device 1202 may also include communication connection(s) 1216 that allows device 1202 to communicate with other devices.
  • Communication connection(s) 1216 may include, but is not limited to, a modem, a Network Interface Card (NIC), an integrated network interface, a radio frequency transmitter/receiver, an infrared port, a USB connection, or other interfaces for connecting computing device 1202 to other computing devices.
  • Communication connection(s) 1216 may include a wired connection or a wireless connection. Communication connection(s) 1216 may transmit and/or receive communication media.
  • Computer readable media may include communication media.
  • Communication media typically embodies computer readable instructions or other data in a “modulated data signal” such as a carrier wave or other transport mechanism and includes any information delivery media.
  • modulated data signal may include a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • Device 1202 may include input device(s) 1214 such as keyboard, mouse, pen, voice input device, touch input device, infrared cameras, video input devices, and/or any other input device.
  • Output device(s) 1212 such as one or more displays, speakers, printers, and/or any other output device may also be included in device 1202 .
  • Input device(s) 1214 and output device(s) 1212 may be connected to device 1202 via a wired connection, wireless connection, or any combination thereof.
  • an input device or an output device from another computing device may be used as input device(s) 1214 or output device(s) 1212 for computing device 1202 .
  • Components of computing device 1202 may be connected by various interconnects, such as a bus.
  • Such interconnects may include a Peripheral Component Interconnect (PCI), such as PCI Express, a Universal Serial Bus (USB), firewire (IEEE 1394), an optical bus structure, and the like.
  • PCI Peripheral Component Interconnect
  • USB Universal Serial Bus
  • IEEE 1394 Firewire
  • optical bus structure an optical bus structure, and the like.
  • components of computing device 1202 may be interconnected by a network.
  • memory 1208 may be comprised of multiple physical memory units located in different physical locations interconnected by a network.
  • a computing device 1220 accessible via network 1218 may store computer readable instructions to implement one or more embodiments provided herein.
  • Computing device 1202 may access computing device 1220 and download a part or all of the computer readable instructions for execution.
  • computing device 1202 may download pieces of the computer readable instructions, as needed, or some instructions may be executed at computing device 1202 and some at computing device 1220 .
  • a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer.
  • an application running on a controller and the controller can be a component.
  • One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers.
  • the claimed subject matter may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter.
  • article of manufacture as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media.
  • one or more of the operations described may constitute computer readable instructions stored on one or more computer readable media, which if executed by a computing device, will cause the computing device to perform the operations described.
  • the order in which some or all of the operations are described should not be construed as to imply that these operations are necessarily order dependent. Alternative ordering will be appreciated by one skilled in the art having the benefit of this description. Further, it will be understood that not all operations are necessarily present in each embodiment provided herein.
  • the word “example” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “example” is not necessarily to be construed as advantageous over other aspects or designs. Rather, use of the word example is intended to present concepts in a concrete fashion.
  • the term “or ” is intended to mean an inclusive “or ” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances.
  • the articles “a” and “an ” as used in this application and the appended claims may generally be construed to mean one or more unless specified otherwise or clear from context to be directed to a singular form.

Abstract

Vehicles in transit within a location may transmit and/or receive information about transit events arising within the location, such as accidents, developing weather, and road obstructions. Because localized exchange channels, such as a radiofrequency broadcast, may be range-limited and/or unreliable, a centralized service may be provided to facilitate the exchange of notifications about transit events, but it may be difficult to provide a centralized service that is both scalable to millions of vehicles and capable of low-latency exchange of time-sensitive notifications for transit events. The techniques presented herein provide an architecture for broadcasting transit events through a transit service that maintains vehicle area groups, respectively identifying the vehicles that are associated with each location. The service may receive a notification of a transit event for a location, and may utilize the vehicle area group for the location to broadcast the notification to the other vehicles of the area group.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • The present application claims priority under 35 U.S.C. §119(e) to U.S. Patent Application No. 61/946,962, filed on Mar. 3, 2014, the entirety of which is incorporated by reference as if fully rewritten herein.
  • BACKGROUND
  • Within the field of computing, many scenarios involve devices that inform and assist a user within a vehicle, e.g., by autonomously navigating the vehicle, and/or presenting transit-related information to a driver of the vehicle. In such scenarios, transit events may arise that relate to a current location and/or a current route of the vehicle, such as a traffic accident; developing traffic congestion; road obstructions, such as debris or wildlife present in a lane of the road; and weather-related conditions, such as ice or flooding. Various techniques may be utilized to notify the user and/or adjust the autonomous control of the vehicle in response to such transit events.
  • SUMMARY
  • This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key factors or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
  • Many techniques may be utilized to exchange messages about transit events, such as events that may be related to or have an impact on a roadway network of a city. As a first such example, a notification of a transit event may be broadcast over a localized broadcast channel, such as a radiofrequency that encodes a voice message that can be played for the user of the message, or a digital signal that encodes a message for the device of the vehicle. As a second such example, vehicles may locally communicate with one another using a wireless communication channel, such as localized Wi-Fi or Dedicated Short-Range Communication (DSRC) message broadcast. As a third such example, a centralized service may communicate with vehicles over a long-distance channel, such as the internet, and may coordinate the delivery of notifications, such as a weather service that monitors the transit of enrolled vehicles and transmits transit-related weather information to the vehicles.
  • While many such techniques may be devised, several considerations of such techniques may limit the utility of such techniques. As a first such example, localized broadcast channels are often subject to interference, crosstalk, jamming, spoofing, and interception by unintended third parties. As a second such example, vehicle-to-vehicle communication may be limited by range broadcast restrictions, and may have difficulty scaling to accommodate messaging among a large number of vehicles. As a third such example, communication mediated by a remote server may exhibit a large amount of latency, which may be problematic for the timely delivery of urgent transit event notifications; e.g., it may be difficult to provide a remote server that is capable of scaling to handle potentially millions of vehicles, and also capable of exchanging transit event notifications among such vehicles in a low-latency manner
  • Presented herein are techniques for exchanging notifications of transit events among vehicle using a transit service. Such techniques involve an architecture where the transit service maintains a set of vehicle area groups, each identifying the vehicles that are associated with each location. When a vehicle reports a particular location (e.g., a set of global positioning service (GPS) coordinates), the transit service may add the vehicle to the vehicle area group for the location (e.g., a vehicle area group for a portion of a geographic region that includes the reported GPS coordinate). The locations may be defined statically, e.g., as a set of GPS coordinates defining a boundary of a region, or dynamically, e.g., as the site of an event that impacts transit, or an area of traffic congestion. When the transit service receives a notification of a transit event from a vehicle within a particular location, the transit service may identify a current or a dynamically predicted vehicle area group of the vehicle, or may create such a vehicle area group for the vehicle if one does not exist. The transit service may also identify the other vehicles of the vehicle area group; and may broadcast the notification to the other vehicles of the vehicle area group. As one such example, the server may utilize a websockets architecture, wherein the devices of the respective vehicles connect to the transit service via a websocket that is maintained open and alive without having to exchange keepalive or “ping” messages. The server may receive transit events about a location from a vehicle of the vehicle area group for the location, and may transmit notifications of such transit events to the other vehicles of the vehicle area group via the websockets allocated for each such vehicle. In this manner, the transit service may efficiently and rapidly exchange transit event notifications among the vehicles of the location in accordance with the techniques presented herein.
  • To the accomplishment of the foregoing and related ends, the following description and annexed drawings set forth certain illustrative aspects and implementations. These are indicative of but a few of the various ways in which one or more aspects may be employed. Other aspects, advantages, and novel features of the disclosure will become apparent from the following detailed description when considered in conjunction with the annexed drawings.
  • DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is an illustration of an example scenario featuring various techniques for broadcasting notifications about transit events for a location.
  • FIG. 2 is an illustration of an example scenario featuring an architecture for broadcasting notifications about transit events for a location in accordance with the techniques presented herein.
  • FIG. 3 is an illustration of an example method of broadcasting notifications about transit events for a location, in accordance with the techniques presented herein.
  • FIG. 4 is an illustration of a first example system for broadcasting notifications about transit events for a location, in accordance with the techniques presented herein.
  • FIG. 5 is an illustration of a second example system for broadcasting notifications about transit events for a location, in accordance with the techniques presented herein.
  • FIG. 6 is an illustration of an example computer-readable medium comprising processor-executable instructions configured to embody one or more of the provisions set forth herein.
  • FIG. 7 is an illustration of a first example technique for detecting transit events arising within a location, in accordance with the techniques presented herein.
  • FIG. 8 is an illustration of a second example technique for detecting transit events arising within a location, in accordance with the techniques presented herein.
  • FIG. 9 is an illustration of an example technique for rebroadcasting transit events arising within a location, in accordance with the techniques presented herein.
  • FIG. 10 is an illustration of an example technique for broadcasting notifications of transit events to several vehicle area groups, in accordance with the techniques presented herein.
  • FIG. 11 is an illustration of an example technique for notifying a user about a transit event for a location, in accordance with the techniques presented herein.
  • FIG. 12 is an illustration of an example computing environment wherein one or more of the provisions set forth herein may be implemented.
  • DETAILED DESCRIPTION
  • The claimed subject matter is now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the claimed subject matter. It may be evident, however, that the claimed subject matter may be practiced without these specific details. In other instances, structures and devices are shown in block diagram form in order to facilitate describing the claimed subject matter.
  • A. Introduction
  • FIG. 1 is an illustration of an example scenario 100 featuring a user 102 of a vehicle 104 operated in an area 108, such as a span of a road, alongside other vehicles 104 operated by drivers 106. In this example scenario 100, a transit event 110 may occur, such as a vehicular accident between two vehicles 104, that interferes with transit in the area 108. A variety of such transit events 110 may arise, such as obstructions to transit through the area 108 (e.g., the development of traffic congestion due to heavy vehicular volume, construction, or a failure of traffic signals; debris or wildlife located in a lane of the road; or weather-related events, such as flooding or the formation of ice on the road).
  • It may be desirable to transmit a notification of the transit events 110 to the user 102 and the other drivers 106 of such vehicles 104, as such notification may alert them to the transit event 110 as a safety precaution, and/or enable the user 102 and other drivers 106 to choose an alternate route that avoids the area 108. Many techniques may be devised to distribute such notification of transit events 110, some of which are illustrated in the example scenario 100 of FIG. 1.
  • As a first such example 122, information about the transit event 110 may be broadcast by a regional broadcast tower 112 using a local broadcast messaging channel, such as a selected radiofrequency over which messages may be encoded and broadcast at high power to reach a large region. Such messages may be distributed, e.g., as human-perceivable audio messages that are received by a radio within each vehicle 104; encoded text messages that are received by a device with a text display for presentation to the user 102 and drivers 106 of the vehicles 104; and/or encoded signals to be received and interpreted by an autonomous control system of the vehicle 104. For example, a regional broadcast service may transmit notifications 114 over a traffic message channel (TMS) of all transit events 110 occurring throughout the region including the area 108, such as construction, vehicular accidents, and/or traffic congestion.
  • As a second such example 124, a first vehicle 104 may include a sensor that detects a transit event 110 such as a vehicular accident, and a vehicle-to-vehicle communication device comprising a transmitter 116 that detects the transit event 110 and transmits a notification 114 to a receiver 120 on board the vehicle 104 of the user 102 through a localized messaging channel, such as a low-broadcast radiofrequency (RF) channel, using a protocol such as Wi-Fi. The transmitter 120 may receive the notification 114 and utilize it in various ways, such as notifying the user 102 or adjusting an autonomous control system (e.g., reducing a cruise control speed, or engaging emergency braking). In this manner, various techniques may be utilized to exchange notifications 114 of transit events 110 to the drivers 106 of vehicles 104 and users 102 on board vehicles 104 in the area 108.
  • However, some disadvantages may arise within such techniques that affect the distribution of such notifications 114.
  • As a first such example, a regional broadcast tower 112 may broadcast a set of notifications 114 applicable throughout the region, but such broadcasting may be nonspecific, and may include information that is not applicable to some, and possibly a large proportion, of the receivers including the user 102 and other drivers 106. For example, in the first example 122 of FIG. 1, the regional broadcast tower 112 encodes the transit event 110 for the area 108, but also includes information about a second transit event 110 that occurs in a distant area 108, and is likely not relevant to the user 102 or the other drivers 106. The inclusion of extraneous information may desensitize the user 102 and/or other drivers 106 to the provided information, who may then miss the notification 114 of the transit event 110 that is relevant to their transit. Moreover, the provision of the regional broadcast tower 112 to provide notifications 114 for all transit events 110 within a large region may delay the delivery of a time-sensitive notification 114; e.g., it may be desirable to distribute a notification 114 of the vehicular accident to the user 102 and drivers 106 of the area 108 as quickly as possible, but if the notification 114 is one of a dozen such notifications for an entire region, the delivery may be delayed and may fail to present the notification in time for the user 102, other drivers 106, and autonomous control systems of the vehicles 104 to react.
  • As a second such example, the localized vehicle-to-vehicle transmission as illustrated in the second example 124 may be more localized and selective than the regional broadcast tower 112, but its utility may be limited by a variety of factors. For example, broadcast restrictions on localized broadcast messaging channels (e.g., federal regulations on the maximum power of unlicensed radiofrequency transmissions) may reduce the power and range with which the transmitter 116 may transmit the notification 114, causing vehicles 104 that are outside of the range of the low-powered transmitter 116 not to receive the notification 114. For example, in a high-speed environment such as a highway, it may be desirable to transmit the notification 114 to vehicles 104 over a hundred meters away, but the transmitter 116 may have a restricted range of twenty meters. Moreover, low-power localized broadcast messaging channels may be unreliable due to a variety of factors, such as interference, crosstalk with other applications, jamming, spoofing, and/or interception by unintended individuals. For example a vehicle-to-vehicle communication system is unlikely to be effective for exchanging a large number of messages 114 among a large population of transmitters 116 (e.g., traffic congestion may feature hundreds of vehicles 104 that are attempting to transmit notifications 114 concurrently to hundreds of other vehicles 104, and the continuous exchange of notifications 114 over the same range of localized broadcast messaging channels may severely limit the successful delivery of such notifications 114).
  • Due to these difficulties with localized exchange of notifications 114, other techniques may be utilized. For example, a remote server may receive notifications 114 of transit events 110, and may rebroadcast such notifications 114 to vehicles 114 within a particular area 108. However, the architecture of such centralized services may affect the capabilities of such broadcast notification systems. In particular, a remote server may be tasked with exchanging messages 114 among millions of vehicles 104, and may therefore incur latency in achieving such delivery, e.g, while figuring out the subset of the millions of vehicles 104 is to receive the notification 114. Such latency may not be a significant issue with other scenarios, such as email messages and text messages, where latency of several seconds may be acceptable and not even noticeable; however, in the context of exchanging potentially urgent messages among vehicles 104, latency may significantly reduce the value of the transit service. These and other complications may arise within various techniques for distributing notifications 114 among the vehicles 104 of a location 102.
  • B. Presented Techniques
  • FIG. 2 is an illustration of an example scenario 200 featuring techniques for exchanging notifications 114 of transit events 110 among the users 102, drivers 106, and vehicles 104 of an area 108.
  • In this example scenario 200, a transit service 202 is provided that is in communication with devices aboard the vehicles 104 traveling in the area 108, and may participate in the exchange of notifications of transit events 110 in the area 108 that affect such vehicles 104. In particular, the transit service 202 associates the respective vehicles 104 within the area 108 with a particular location 204, such as a defined span of a highway (e.g., between specified kilometer markers). For the respective locations 204, the transit service 202 may create a vehicle area group 206 identifying the vehicles 104 that are in transit within the location 204. For example, the respective vehicles 104 may report to the transit service 202 a current location of the vehicle 104, such as a global positioning system (GPS) coordinate, and the transit service 202 may determine the location 204 encompassing the current location of the vehicle 104, and then add the vehicle 104 to the vehicle area group 206 for the location 204. A transit event 110 may arise that is detected by a device on board a vehicle 104, which transmits a notification 208 of the transit event 110 to the transit service 202. The transit service 202 may identify the vehicle area group 206 of the vehicle 106 reporting the transit event 110, and the other vehicles 104 of the vehicle area group 206. The transit service 202 may then broadcast a notification 210 of the transit event 110 to the other vehicles 104 within the vehicle area group 206 for the location 204. For example, in the example scenario 200 of FIG. 2, the transit event 110 may be relevant to a subset of the vehicles 104 communicating with the transit service 202 (e.g., vehicles 1, 2, and 3, wherein vehicle 3 reports the transit event 110 to the transit service 202), and not relevant to other vehicles 104 that are farther away from the site of the transit event 110, such as vehicles 4 and 5. Accordingly, the transit service 202 may selectively broadcast the notification 210 to vehicles 1 and 2, and may refrain from broadcasting the notification 210 to vehicle 3 (which initiated the notification 208 of the transit event 110) and/or vehicles 4 and 5 (which are not in the same vehicle area group 206). In this manner, the transit service 110 may utilize a cloud-based architecture for broadcasting notifications 210 of transit events 110 to the vehicles 104 of the location 204 affected by the transit event 110, and may do so by utilizing the pre-formed vehicle area group 206 that identifies such vehicles 104, in accordance with the techniques presented herein.
  • C. Technical Effects
  • The techniques presented herein may provide a variety of technical effects in the scenarios provided herein.
  • As a first such example, the techniques provided herein may enable a more reliable transmission of notifications 210 of transit events 110 to the vehicles 104 with the location 204 affected by the transit event 110 than localized broadcast message channels, which may be limited by such factors as range restrictions and interference. For example, the techniques presented herein may utilize an internet connection of a mobile device for the exchange of notifications 210, and internet connectivity may be both more well-developed and more ubiquitous than specialized equipment and support for a localized broadcast message channel such as traffic messaging systems (TMS).
  • As a second such example, the techniques provided herein may enable greater selectivity of the transmission of notifications 210, i.e., limiting the transmission of notifications 210 to the vehicles 104 that are affected by the transit event 110. Such selectivity may raise the signal-to-noise ratio of the notification system; may conserve the computational and messaging resources utilized in such delivery; and/or may enable faster delivery of such notifications 210 (e.g., by avoiding circumstances where the transmission of a first notification 210 that is relevant to the vehicles 104 in a particular location 204 is delayed by the transmission of a second notification 210 that does not apply to the vehicles 104 or the location 204).
  • As a third such example, the techniques provided herein may scale to support a large number of vehicles 104 and/or transit events 106, without incurring scalability penalties such as latency. A transit service 202 that receives a notification 208 and may utilize readily-available vehicle area groups 206 to determine the other vehicles 104 that are to receive the broadcast notification 210 may achieve such delivery faster than a transit service 202 that, ad-hoc, identifies the vehicles 104 to receive the broadcast notification 210 among a potentially large set of millions of vehicles 104. Many such technical effects may arise from the broadcasting of notifications 210 of transit events 110 in accordance with the techniques presented herein.
  • D. Example Embodiments
  • FIG. 3 presents a first example embodiment of the techniques presented herein, illustrated as an example method 300 of broadcasting localized transit events 110 detected during transit of a vehicle 104. The example method 300 may be implemented on a device having a processor, and that is in communication with a transit service 202 having information about the locations 206 of the area 108. The example method 300 may be implemented, e.g., as a set of instructions stored in a memory component of the device (e.g., a memory circuit, a platter of a hard disk drive, a solid-state memory component, or a magnetic or optical disc) that, when executed by the processor of the device, cause the device to perform the techniques presented herein.
  • The example method 300 begins at 302 and involves executing 304 the instructions on the processor. Specifically, the instructions cause the device to detect 306 a location 204 of the vehicle 104. The instructions also cause the device to transmit the location 204 to the transit service 202 to add the vehicle 104 to a vehicle area group 206 for the location 204. The instructions also cause the device to, upon detecting a transit event 110 in the location 204 of the vehicle 104, transmit 310 the transit event 110 to the transit service 202 for broadcasting to other vehicles 104 of the vehicle area group 206. The instructions also cause the device to, upon receiving from the transit service 202 a notification 210 of a transit event 110 for the vehicle area group 206, utilize 312 the notification 210 in the transit of the vehicle 104. In this manner, the example method 300 enables the vehicle 104 to participate in the exchange of notifications 210 about the transit events 110 arising within the area 108 through interaction with a travel service 202 provided in accordance with the techniques presented herein, and so ends at 314.
  • FIG. 4 presents an illustration of an example scenario 400 featuring a second example embodiment of the techniques presented herein, illustrated as an example server 402 comprising a system 410 that provides a transit service 202 to a set of vehicles 104. The example system 410 may be implemented, e.g., on a server 402 having a processor 404, a memory 408, and a vehicle communicator 406 that communicates with the vehicles 104. A portion of the server 402 and/or traffic service 202 may be located within the vehicle 104 of the user 102, and/or may be located at a remote location. Respective components of the example system 410 may be implemented, e.g., as a set of instructions stored in a memory 408 of the server 402 and executable on the processor 404 of the server 402, such that the interoperation of the components causes the server 402 to operate according to the techniques presented herein.
  • The example system 410 comprises a vehicle area group manager 412, which, upon receiving a location 204 of a vehicle 104, adds the vehicle 104 to a vehicle area group 210 for the location 204. The system 410 also comprises a transit event broadcaster 414, which, upon receiving, from a vehicle 104, a notification 208 of a transit event 110 for the location 204, identifies at least one other vehicle 104 of the vehicle area group 206, and broadcasts to the at least one other vehicle 104 of the vehicle area group 206 a notification 210 of the transit event 110. In this manner, the example system 410 provides a travel service 202 that facilitates the exchange of notifications 210 about the transit events 110 of the location 204 in accordance with the techniques presented herein.
  • FIG. 5 presents an illustration of an example scenario 500 featuring a third example embodiment of the techniques presented herein, illustrated as an example vehicle device 502 featuring an example system 514 that enables a vehicle 104 to exchange notifications 210 with other vehicles 104 about transit events 110 arising in the location 204 of the vehicles 104. The example system 514 may be implemented, e.g., on a vehicle device 502 having a processor 504; a memory 512; a location detector 506 that detects a location 204 of the vehicle 104 (e.g., a global positioning system (GPS) coordinate); a transit service communicator 508 that communicates with a transit service 202 (e.g., a wireless network adapter that is connected to the transit service 202 via an internet connection); and a transit event detector 510 that detects a transit event 110 in the location 204 of the vehicle 104. Respective components of the example system 514 may be implemented, e.g., as a set of instructions stored in the memory 512 of the vehicle device 502 and executable on the processor 504 of the vehicle device 502, such that the interoperation of the components causes the vehicle device 502 to operate according to the techniques presented herein.
  • The example system 514 comprises a transit service interface, which transmits the location 204 of the vehicle 104, via the transit service communicator 508, to the transit service 202 in order to add the vehicle 104 to a vehicle area group 206 for the location 204, and also transmits to the transit servicer 202, via the transit service communicator 508, a notification 208 of the transit event 110 for broadcasting to other vehicles 104 of the vehicle area group 206. The example system 514 also comprises a local event notifier 518, which, upon receiving from the transit service 202 a notification 210 of a transit event 110 for the vehicle area group 206, utilizes the notification 210 in the transit of the vehicle 104 (e.g., by presenting the notification 210 to the user 102; by adjusting an autonomous control system of the vehicle 104; and/or by adjusting a route selected by the user 102 to reach a destination). In this manner, the example system 514 may enable the vehicle device 502 to exchange notifications 210 about the transit events 110 arising within the location 204 in accordance with the techniques presented herein.
  • Still another embodiment involves a computer-readable medium comprising processor-executable instructions configured to apply the techniques presented herein. Such computer-readable media may include, e.g., computer-readable storage media involving a tangible device, such as a memory semiconductor (e.g., a semiconductor utilizing static random access memory (SRAM), dynamic random access memory (DRAM), and/or synchronous dynamic random access memory (SDRAM) technologies), a platter of a hard disk drive, a flash memory device, or a magnetic or optical disc (such as a CD-R, DVD-R, or floppy disc), encoding a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein. Such computer-readable media may also include (as a class of technologies that are distinct from computer-readable storage media) various types of communications media, such as a signal that may be propagated through various physical phenomena (e.g., an electromagnetic signal, a sound wave signal, or an optical signal) and in various wired scenarios (e.g., via an Ethernet or fiber optic cable) and/or wireless scenarios (e.g., a wireless local area network (WLAN) such as WiFi, a personal area network (PAN) such as Bluetooth, or a cellular or radio network), and which encodes a set of computer-readable instructions that, when executed by a processor of a device, cause the device to implement the techniques presented herein.
  • An example computer-readable medium that may be devised in these ways is illustrated in FIG. 6, wherein the implementation 600 comprises a computer-readable medium 602 (e.g., a CD-R, DVD-R, or a platter of a hard disk drive), on which is encoded computer-readable data 604. This computer-readable data 604 in turn comprises a set of computer instructions 606 configured to operate according to the principles set forth herein. As a first such example, the computer instructions 606 may cause the device 610 to utilize a method of exchanging notifications 210 of transit events 110 within a location 204 with other vehicles 104 in the location 206, such as the example method 300 of FIG. 3. As a second such example, the computer instructions 606 may provide a system for providing a transit service 202 to a set of vehicles 104 operating in a location 204, such as the example system 410 in the example scenario 400 of FIG. 4. As a third such example, the computer instructions 606 may provide a system for exchanging notifications 210 of transit events 110 within a location 204 with other vehicles 104 in the location 206, such as the example system 514 in the example scenario 500 of FIG. 5. Many such computer-readable media may be devised by those of ordinary skill in the art that are configured to operate in accordance with the techniques presented herein.
  • E. Variable Aspects
  • The techniques discussed herein may be devised with variations in many aspects, and some variations may present additional advantages and/or reduce disadvantages with respect to other variations of these and other techniques. Moreover, some variations may be implemented in combination, and some combinations may feature additional advantages and/or reduced disadvantages through synergistic cooperation. The variations may be incorporated in various embodiments (e.g., the example method 300 of FIG. 3; the example system 410 of FIG. 4; the example system 512 of FIG. 5; and the example computer-readable storage device 602 of FIG. 6) to confer individual and/or synergistic advantages upon such embodiments.
  • E1. Scenarios
  • A first aspect that may vary among embodiments of these techniques relates to the scenarios wherein such techniques may be utilized.
  • As a first variation of this first aspect, the techniques presented herein may be used with many types of vehicles 104, including automobiles, motorcycles, trucks, trains, buses, watercraft, aircraft, drones, and spacecraft. Such vehicles may be controlled by one or more humans, may be autonomous, or may involve a combination thereof, such as an autonomous automobile that can also be controlled by a human.
  • As a second variation of this first aspect, the techniques presented herein may be utilized to provide advise users 102 of events occurring in many types of areas 108 and/or locations 202, such as a roadway, highway, sidewalk, dirt or grass path, waterway, and airspace. Such areas 108 may also be defined statically, e.g., as the boundary of a municipality or a set of global positioning system (GPS) coordinates that define the boundaries of an area 108, may be defined dynamically, e.g., as an area 108 where an event such as a convention is occurring, or an area 108 where traffic congestion has been detected.
  • As a third variation of this first aspect, the techniques presented herein may be utilized to exchange notifications 210 about many types of transit events 110 occurring in an area 108, such as vehicular accidents; the formation of traffic congestion, such as due to high vehicle volume or construction; an obstruction, such as debris or wildlife; a hazardous condition in the location 204, such as a fire; and weather events, such as the formation of ice or flooding. Many such variations may arise within the set of scenarios in which the techniques presented herein may be utilized.
  • E2. Transit Event Detection
  • A second aspect that may vary among embodiments of these techniques involves the detection of the occurrence of the transit event 110, including information about the transit event 110 that may advise the other vehicles 104 as to how to respond to the transit event 110.
  • As a first variation of this second aspect, a vehicle device may receive a report of a transit event 110 directly from the user 102 within the vehicle 104. For example, the user 102 may initiate a voice report of an observed transit event 110, and the vehicle device may transmit the voice report of the user 102 to the transit service 202.
  • As a second variation of this second aspect, a vehicle device may evaluate telemetry of the vehicle 104 to detect a transit event 110. For example, telemetry indicating that the user 102 has engaged windshield wipers or fog lamps may indicate the presence of transit-affecting weather conditions in the location 204, and telemetry indicating an engagement of an anti-lock braking system in a particular location 204 (coupled with weather data indicating freezing weather) may indicate a transit event 110 involving the formation of ice on a road surface of in the location 204
  • FIG. 7 presents an illustration of an example scenario 700 featuring a third variation of this second aspect, involving a proximity sensor that generates proximity data indicating a proximity of the vehicle to a second vehicle, and a proximity data evaluator that evaluates the proximity data to identify the transit event 110. In this example scenario 700, a lane of a road occupied by a vehicle 104 of the user 102 is detected according to a proximity sensor 702 of the vehicle 104. Such proximity sensors 702 may utilize a variety of techniques for such detection, including visual evaluation of camera data; ranging data gathered by sonar, radar, and/or lidar detection; and/or electronic communication with other vehicles 104 in the location 204. In this example scenario 700, the vehicle 104 is equipped with a proximity sensor 702 that detects a proximity of the vehicle 104 with respect to other vehicles 104 operating in the location 204, such as a distance 704 between the vehicle 104 and another vehicle 104 that is ahead of and/or behind the vehicle 104 of the user 102; the relative speeds of the vehicles 104 ahead of and/or behind the user 102; and/or the rates of acceleration, braking, turning, and/or swerving by the user 102 and the drivers 106 of the other vehicles 104. The proximity sensor 702 may also detect information about vehicles 104 in other lanes of the road, such as the relative or absolute speeds of vehicles 104 in adjacent lanes and/or passing in the other direction of transit, and/or whether or not such vehicles 104 are passing 706 and/or are being passed by the vehicle 104. Moreover, such proximity data may be evaluated to detect a transit event 110. As a first such example, the proximity sensor 702 may detect one or more vehicles 104 that are stationary in an adjacent lane, in the median of the road, and/or off to the side of the road, may indicate the occurrence of a vehicular accident and position thereof in the location 204. As a second such example, the proximity sensor 702 may detect sudden changes in the proximity of the vehicles 104 indicating a transit event 110, such as a rapid deceleration of a vehicle 104 behind the vehicle 104 of the user 102 that indicates a collision. The vehicle device 708 may utilize the proximity sensor 704 to detect such transit events 110, and may send a notification 208 of the transit events 110 to the transit service 202.
  • FIG. 8 presents an illustration of example scenarios featuring a fourth set of variations of this second aspect, wherein a transit event 110 is detected by machine vision techniques 808. As a first example scenario 802, a vehicle device 708 on board the vehicle 104 may include and/or be in communication with a forward-mounted camera 802 that captures a forward-facing image 804 (e.g., through a windshield 806 of the vehicle 104). A machine vision technique 808, such as an object recognition algorithm, may be applied to the image 804, such as an object recognition technique that recognizes vehicles 104; extrapolates their positions within the location 204, and/or details such as their directions, speeds, and acceleration; and, by modeling their positions, identifies that a collision has occurred. A second machine vision technique 808 may be applied that utilizes a line detection algorithm to detect visible lines of the road that indicate lanes, including a current lane of the vehicle 104 of the user 102. The position of the vehicle 104 on the road may therefore be extrapolated by the machine vision technique 808, and this information may be utilized to provide additional information about the transit event 110 (e.g., which lane(s) the transit event 110 affects) and/or to adjust the navigation of the vehicle 104 and/or advise the user 102 (e.g., determining whether the current lane of the vehicle 104 avoids or is obstructed by the transit event 110). Alternatively or additionally, other machine vision techniques may be applied to the image 804 to about the transit event 110, such as object recognition to detect and optionally count a number of visible vehicles 104 ahead of the vehicle 104 of the user 102 in the respective lanes as a measurement of traffic congestion, and/or visual sizing machine vision techniques that estimate a distance of vehicles 104 ahead of the vehicle 104 of the user 102. As a second example scenario 810, a downward-facing camera 802 may capture a downward-facing image 804 of the location 204; an object recognition algorithm may be applied to detect objects that are visible on the surface of the road and that may indicate a transit event 110, such as ice, water, debris, or potholes; and a line detection machine vision technique 808 may be utilized to detect the visible lines indicating the lanes of the road, and/or the current lane that is currently occupied by the vehicle 104 of the user 102. Many such techniques may be utilized to detect and describe transit events 110 occurring within the location 204 of the vehicle 104 for reporting to the transit service 202 in accordance with the techniques presented herein.
  • E3. Exchange Protocol
  • A third aspect that may vary among embodiments of the techniques presented herein involves the manner of exchanging notifications 210 of transit events 110 among the vehicles 104 and the transit service 202.
  • As a first variation of this third aspect, vehicle devices and travel service 202 may communicate through a wide range of communication channels, such as electromagnetic wave transmissions at various frequencies. Such communication channels may also be utilized to exchange notifications 210 encoded in various ways, such as a human-receivable voice or tone; a human-readable message, such as text, images, and/or video; encoded data that describes the transit event 110, such as an extensible markup language (XML) providing fields that identify properties of the transit event 110 such as its precise location, type, and severity; and/or encoded data that provides instructions for autonomous control of a vehicle navigation system, such as instructions to engage a braking system to slow or halt the vehicle 104, and/or instructions to re-route the transit of the vehicle 104 through an alternative area. Many such communications protocols may be utilized to deliver such notifications 210 over the selected messaging channels, such as messages exchanged using a variant of the hypertext transport protocol (HTTP), including a websockets interface. As one such example, a vehicle communicator 406 of a server 402 providing the travel service 202 may comprise an internet connection that communicates with vehicle devices through the internet using a websocket protocol. A vehicle area group manager 412 may, in addition to adding a vehicle 104 to a vehicle area group 206, allocate a websocket to communicate with the vehicle 104 through the internet using the websocket protocol; and the transit event broadcaster 414 may broadcast the notification of the transit event 110 to the respective vehicles 104 through the respective websockets. Similarly, the transit service communicator 508 of a vehicle 104 may further comprise an internet connection through which the transit service communicator 508 communicates with the transit service 202 using a websocket protocol, and the local event notifier 518 may receive the notification 210 of the transit event 110 from the transit service 202 through a websocket of the websocket protocol that has been allocated to communicate with the transit service 202. The selection of a protocol such as websockets may enable further advantages, such as a reduced reliance on ping or keepalive messages to maintain the communication channel; as a result, the communication resources (e.g., radiofrequency bandwidth) may be conserved for the actual exchange of notifications 210 of transit events 110, which may also reduce the latency in the delivery of such notifications 210, and the scalability to support broadcasting to a large number of vehicles 104 in a particular location 204 with reduced interference. Websockets may also be advantageous due to the greater incidence of interruption of connectivity of vehicles 104 in transit, since ephemeral lapses in connectivity may not necessitate the exchange of network communication, but may be tolerated as part of the transit service 202.
  • As a second variation of this third aspect, many mechanisms may be utilized to associated vehicles 104 with vehicle area groups 206. As one such example, a transit service 202 may, upon receiving from the vehicle a first location 204, determine whether a vehicle area group 206 exists for the first location 204, and upon determining that a vehicle area group 206 does not exist for the first location 204, create a vehicle area group 206 for the first location 204. The transit service 202 may also, upon receiving from the vehicle 104 a second location 204 of the vehicle 204 (e.g., an updated global positioning service (GPS) coordinate), determine whether the second location 204 is also associated with the vehicle area group 206; and upon determining that the second location 204 is not associated with the vehicle area group 206, remove the vehicle 104 from the vehicle area group 206 for the first location 204 (e.g., transferring the association of the vehicle 104 from the first vehicle area group 206 for the first location 204 to a second vehicle area group 206 for the second location 204).
  • FIG. 9 presents an illustration of an example scenario 900 featuring a third set of variations of this third aspect involving the broadcasting of various notifications 208 of transit events 110 for a location 204. In this example scenario 900, in addition to the transit service 202 receiving notifications 208 from vehicles 104 that are enrolled in the transit service 202 and broadcasting such notifications 208 to the other vehicles 104 of the vehicle area group 206 that are also enrolled in the transit service 202, the transit service 202 may be utilized to retransmit notifications 208 generated by other services, and vice versa.
  • As a first such example, a vehicle device 706 may further comprise a local transit event rebroadcaster that locally rebroadcasts the notification 206 of the transit event 110 over a localized broadcast messaging channel. For example, after detecting a transit event 210 and transmitting the notification 208, and/or after receiving a notification 210 from the transit service 202, a vehicle device 2706 may utilize a transmitter 116 broadcast the notification 208 using a local broadcast messaging channel, such as a local, low-power radiofrequency (RF) broadcast, or a directed vehicle-to-vehicle communication channel. A receiver 120 within a second vehicle 104 that is not enrolled in the transit service 202, and/or that is enrolled but that is not in communication with the transit service 202 due to a temporary communication interruption, may therefore receive the local broadcast.
  • As a second such example, a localized broadcast channel monitor may be utilized to monitor a localized broadcast messaging channel, such as broadcasts by a regional broadcast tower 112 (e.g., a traffic message channel (TMS) broadcaster), and may retransmit notifications 210 of transit events 110 received through such a localized broadcast messaging channel to the transit service 202 for rebroadcasting to the other vehicles 104 of the vehicle area group 206 for the location 204 involved in the transit event 110. As another such variation, the transit service may remotely monitor sources of information about transit events 110, such as traffic message channel (TMS) information provided over the internet, and may broadcast notifications 210 of transit events 110 according to the vehicle area groups 206 for the locations 204 involved in the transit events 110. Such broadcasting may enable delivery of the localized broadcast message to other vehicles 104 that are not monitoring the localized broadcast messaging channel, but that are in communication with the transit service 202. Conversely, the transit service 202 and/or the vehicle device 706 may also provide information to other services for transmission via localized broadcast messaging channels. For example, upon receiving a notification 208 from a vehicle 104 in a location 204 of a transit event 110, the transit service 202 may, in addition to broadcasting a notification 210 to the vehicles 104 of the vehicle area group 206, transmit the notification 210 to the regional broadcast tower 112 for regional rebroadcast. Alternatively, the vehicle device 706 may transmit the notification 208 to the to the regional broadcast tower 112 for regional rebroadcast. Such rebroadcasting techniques may coordinate the exchange of notifications 210 among the vehicles 104 enrolled in the transit service 202 with the exchange of notifications 210 among other vehicles 104 that are not enrolled in the transit service 202, and/or that have lost communication with the transit service 202.
  • FIG. 10 presents an illustration of an example scenario 1000 featuring further variations of this third aspect involving the broadcasting of various notifications 208 of transit events 110 for various locations 204. In this example scenario 1000, in addition to the transit service 202 receiving notifications 208 from vehicles 104 that are enrolled in the transit service 202 and broadcasting such notifications 208 to the other vehicles 104 of the vehicle area group 206 in the same vehicle area group 206 for the same location 204, the transit service 202 may also determine other recipients of the information to which the notification 210 of the transit event 110 may apply.
  • As a fourth variation of this third aspect presented in FIG. 10, the transit service 202 receives a notification 208 of a multi-vehicle accident in a particular location 204, and, in addition to identifying the vehicles 104 within the vehicle area group 206 for the third location 204, may evaluate a second location 204 that may also be affected by the transit event 110, such as a distant stretch of the road that approaches the site of the transit event 110; an entrance ramp of a nearby road that leads to the transit event 110; or a second road that passes over or under the site of the transit event 110. The transit service 202 may determine whether the transit event 110 applies to the vehicles 104 of the second location 204, and may broadcast the notification 210 to the vehicles 104 in the vehicle area group 206 of the second location 204. For example, a weather-related event that is detected in a first location 204 may be projected as following a weather pattern (such as a wind direction) that is likely to affect a second location 204, and the transit service 202 may broadcast the notification 210 to the vehicles 104 in the vehicle area group 206 for the second location 204.
  • As a fifth variation of this third aspect, the notification 210 may be updated to reflect a recommendation to the vehicles 104, including the user 104 and the other drivers 106, as to how to respond to the transit event 110. For example, the second location 204 features a detour option 1002 for avoiding the location of the transit event 110, such as an exit ramp, an alternate route, or a second lane of a road that is not affected by the transit event 110 that impacts a first lane of the road. The transit service 220 may therefore add, to the notification 210 broadcast to the vehicles 104 of the vehicle area group 206, a recommendation 1004 to take the detour option 1002 to avoid the location 204 of the transit event 110.
  • As a sixth variation of this third aspect presented in FIG. 10, the transit service 202 may be configured to notify first responders as to the occurrence of a transit event 110, where such first responders provide a first response service relating to the transit event 110 for the location 204. For example, the transit service 202 may evaluate the information about the transit event 110 and may determine whether police, fire control personnel, medical personnel, tow trucks, or mechanics are to be directed to the location 204 of the transit event 110. The transit service 202 may therefore generate a notification 1006 to the first responders 1008, and may transmit the notification 1006 of the transit event 110 to the first responders 1008.
  • As a seventh variation of this third aspect, the transit service 202 may comprise a transit event verifier that endeavors to verify the transit events 110 reported by respective vehicles 104. For example, a transit event 110 involving a sudden braking incident by a vehicle 104 may indicate a transit event 110 such as an accident or ice, for which a notification 210 of the transit event 110 is to broadcast. However, the sudden braking may also indicate a transient event, such as a brief encounter with wildlife, or a vehicle or driver error, such as accidentally activating the brakes or misperceiving the presence of a vehicle in a nearby lane. Before broadcasting the notification 210, the transit service 202 may endeavor to verify the transit event 110 by identifying a second vehicle 104 of the vehicle area group 206 that is capable of verifying the transit event 110, and transmitting to the second vehicle 104 a request to verify the transit event 110 (e.g., by asking the driver 106 of the second vehicle 104 to confirm or refute the transit event 110, and/or by utilizing sensors of the second vehicle 104). The broadcasting of the notification 210 may be contingent upon first receiving a verification of the transit event 110 from the second vehicle 104.
  • As an eighth variation of this third aspect, before broadcasting a notification 210 to other vehicles 104 of a vehicle area group 206, the transit service 202 may utilize various techniques to anonymize the vehicle 104 that transmitted the notification 208 of the the transit event 110. For example, the transit service 202 may extrapolate the GPS coordinate transmitted by the vehicle 104 to the GPS coordinate of the transit event 110, and may include the latter GPS coordinate but not the former GPS coordinate that identifies which vehicle 104 transmitted the transit event 110. As another such example, where the notification 210 includes an image or voice recording of the transit event 110 captured by the vehicle 104 and/or the user 102, such as the user's name or a vehicle identifier of the vehicle 104 (e.g., the license plate), the transit service 202 may remove identifying features of such media before broadcast to the other vehicles 104 of the vehicle area group 206. Many such techniques may be included in the exchange of notifications 210 of transit events 110 in accordance with the techniques presented herein.
  • E4. Utilizing Transit Event Notification
  • A fifth aspect that may vary among embodiments of the techniques presented herein involves the manner of utilizing a transit event during the transit of the vehicle 104, such as advising a user 102 of the occurrence and details of a transit event 110.
  • As a first variation of this fourth aspect, information about the transit event 110 may be described to the user 102 in a variety of ways. As a first such example, the transit event 110 may be described in absolute terms (e.g., “warning: accident at northbound 14 kilometer mark”) or in relative terms (e.g., “warning: accident one kilometer ahead”), and may include a recommendation to the use 102 to adjust the control of the vehicle 104 (e.g., “reduce speed by 10 kph” or “engage fog lamps”). As a second such example, the device 202 may or may not explain the basis of a recommendation responsive to the transit event 110, e.g., why the user 102 is advised to choose an alternate route or lane of a road. Moreover, if the transit event 110 does not result in a recommendation to the user 102 to do anything else (e.g., if the safest path past a vehicular accident is the lane that the vehicle 104 currently occupies), a vehicle device 708 may either present the recommendation (e.g., “recommendation: maintain current lane”), or may defer such recommendation until detecting that the user 102 is considering transitioning to a different lane (e.g., upon detecting the user's activation of a turn signal). As still another example, the transit of the vehicle 104 may be controlled by a vehicle control system according to a driving behavior profile, and the transit event 110 may prompt the vehicle 104 to the driving behavior profile of the vehicle control system in response to the transit event 110 (e.g., reducing a cruise-control speed of the vehicle 104, engaging a braking system, and/or adjusting a route for the transit of the vehicle 104 to choose an alternative route that avoids the transit event 110).
  • FIG. 11 presents an illustration of a set of exemplary scenarios 1100 whereby a vehicle device 708 may notify the user 102 about a transit event 110. As a second variation 1102 of this fifth aspect, a visual and/or audial indicator may be presented to the user 102 by the vehicle device 708 and/or vehicle 104, such as a light on the dashboard of the vehicle 104 or an audio or voice cue 1104 prompting the user to select a particular lane 1112 to avoid the transit event 110. As a third variation 1106 of this fifth aspect, a visual indicator 1110 may be presented on a window 1108 of the vehicle 104, and, optionally, may be presented at a selected location 1114 on the window 1108 that correlates the visual indicator 1110 with the location 1112 of the transit event 110 through the window 1108 from the perspective of the user 102 (e.g., presenting a visual arrow and/or highlighting the location of the transit event 110 when viewed through the window 1108 by the user 102). As a fourth variation 1114 of this fifth aspect, the user 102 may wear one or more wearable devices while operating the vehicle 104, such as a pair of eyeglasses 1116 or a wristwatch 1118. The presentation of the notification 210 of the transit event 110 may be achieved through such wearable devices, e.g., by presenting a visual indicator 1120 within the viewable region of the eyeglasses 1116 worn by the user 102, and/or issuing a vibration alert 1122 through the wristwatch 1118 of the user 102 to indicate the location of the transit event 110 (e.g., flashing a leftward visual indicator 1120 or a vibration alert 1122 on the user's left wrist to draw the user's attention to the left lane where a transit event 110 has occurred). Many such techniques may be utilized to present to the user 102 the notification 210 of the transit event 110 in accordance with the techniques presented herein.
  • F. Computing Environment
  • FIG. 12 and the following discussion provide a brief, general description of a suitable computing environment to implement embodiments of one or more of the provisions set forth herein. The operating environment of FIG. 12 is only one example of a suitable operating environment and is not intended to suggest any limitation as to the scope of use or functionality of the operating environment. Example computing devices include, but are not limited to, personal computers, server computers, hand-held or laptop devices, mobile devices (such as mobile phones, Personal Digital Assistants (PDAs), media players, and the like), multiprocessor systems, consumer electronics, mini computers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
  • Although not required, embodiments are described in the general context of “computer readable instructions” being executed by one or more computing devices. Computer readable instructions may be distributed via computer readable media (discussed below). Computer readable instructions may be implemented as program modules, such as functions, objects, Application Programming Interfaces (APIs), data structures, and the like, that perform particular tasks or implement particular abstract data types. Typically, the functionality of the computer readable instructions may be combined or distributed as desired in various environments.
  • FIG. 12 illustrates an example of a system 1200 comprising a computing device 1202 configured to implement one or more embodiments provided herein. In one configuration, computing device 1202 includes at least one processing unit 1206 and memory 1208. Depending on the exact configuration and type of computing device, memory 1208 may be volatile (such as RAM, for example), non-volatile (such as ROM, flash memory, etc., for example) or some combination of the two. This configuration is illustrated in FIG. 12 by dashed line 1204.
  • In other embodiments, device 1202 may include additional features and/or functionality. For example, device 1202 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic storage, optical storage, and the like. Such additional storage is illustrated in FIG. 12 by storage 1210. In one embodiment, computer readable instructions to implement one or more embodiments provided herein may be in storage 1210. Storage 1210 may also store other computer readable instructions to implement an operating system, an application program, and the like. Computer readable instructions may be loaded in memory 1208 for execution by processing unit 1206, for example.
  • The term “computer readable media” as used herein includes computer storage media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions or other data. Memory 1208 and storage 1210 are examples of computer storage media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVDs) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by device 1202. Any such computer storage media may be part of device 1202.
  • Device 1202 may also include communication connection(s) 1216 that allows device 1202 to communicate with other devices. Communication connection(s) 1216 may include, but is not limited to, a modem, a Network Interface Card (NIC), an integrated network interface, a radio frequency transmitter/receiver, an infrared port, a USB connection, or other interfaces for connecting computing device 1202 to other computing devices. Communication connection(s) 1216 may include a wired connection or a wireless connection. Communication connection(s) 1216 may transmit and/or receive communication media.
  • The term “computer readable media” may include communication media. Communication media typically embodies computer readable instructions or other data in a “modulated data signal” such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” may include a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal.
  • Device 1202 may include input device(s) 1214 such as keyboard, mouse, pen, voice input device, touch input device, infrared cameras, video input devices, and/or any other input device. Output device(s) 1212 such as one or more displays, speakers, printers, and/or any other output device may also be included in device 1202. Input device(s) 1214 and output device(s) 1212 may be connected to device 1202 via a wired connection, wireless connection, or any combination thereof. In one embodiment, an input device or an output device from another computing device may be used as input device(s) 1214 or output device(s) 1212 for computing device 1202.
  • Components of computing device 1202 may be connected by various interconnects, such as a bus. Such interconnects may include a Peripheral Component Interconnect (PCI), such as PCI Express, a Universal Serial Bus (USB), firewire (IEEE 1394), an optical bus structure, and the like. In another embodiment, components of computing device 1202 may be interconnected by a network. For example, memory 1208 may be comprised of multiple physical memory units located in different physical locations interconnected by a network.
  • Those skilled in the art will realize that storage devices utilized to store computer readable instructions may be distributed across a network. For example, a computing device 1220 accessible via network 1218 may store computer readable instructions to implement one or more embodiments provided herein. Computing device 1202 may access computing device 1220 and download a part or all of the computer readable instructions for execution. Alternatively, computing device 1202 may download pieces of the computer readable instructions, as needed, or some instructions may be executed at computing device 1202 and some at computing device 1220.
  • G. Usage of Terms
  • Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
  • As used in this application, the terms “component,” “module,” “system”, “interface”, and the like are generally intended to refer to a computer-related entity, either hardware, a combination of hardware and software, software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a controller and the controller can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers.
  • Furthermore, the claimed subject matter may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media. Of course, those skilled in the art will recognize many modifications may be made to this configuration without departing from the scope or spirit of the claimed subject matter.
  • Various operations of embodiments are provided herein. In one embodiment, one or more of the operations described may constitute computer readable instructions stored on one or more computer readable media, which if executed by a computing device, will cause the computing device to perform the operations described. The order in which some or all of the operations are described should not be construed as to imply that these operations are necessarily order dependent. Alternative ordering will be appreciated by one skilled in the art having the benefit of this description. Further, it will be understood that not all operations are necessarily present in each embodiment provided herein.
  • Moreover, the word “example” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “example” is not necessarily to be construed as advantageous over other aspects or designs. Rather, use of the word example is intended to present concepts in a concrete fashion. As used in this application, the term “or ” is intended to mean an inclusive “or ” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an ” as used in this application and the appended claims may generally be construed to mean one or more unless specified otherwise or clear from context to be directed to a singular form.
  • Also, although the disclosure has been shown and described with respect to one or more implementations, equivalent alterations and modifications will occur to others skilled in the art based upon a reading and understanding of this specification and the annexed drawings. The disclosure includes all such modifications and alterations and is limited only by the scope of the following claims. In particular regard to the various functions performed by the above described components (e.g., elements, resources, etc.), the terms used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the herein illustrated example implementations of the disclosure. In addition, while a particular feature of the disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. Furthermore, to the extent that the terms “includes”, “having”, “has”, “with”, or variants thereof are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term “comprising.”

Claims (20)

What is claimed is:
1. A method of broadcasting localized transit events detected during transit of a vehicle, the method involving a device having a processor and in communication with a transit service and comprising:
executing, on the processor, instructions that cause the device to:
detect a location of the vehicle;
transmit the location to the transit service to add the vehicle to a vehicle area group for the location;
upon detecting a transit event in the location of the vehicle, transmit the transit event to the transit service for broadcasting to other vehicles of the vehicle area group; and
upon receiving from the transit service a notification of a transit event for the vehicle area group, utilize the notification in the transit of the vehicle.
2. The method of claim 1, wherein utilizing the notification in the transit of the vehicle further comprises: presenting the notification to a user within the vehicle.
3. The method of claim 2, wherein:
the vehicle further comprises a window; and
presenting the notification to the user further comprises: displaying the notification on the window of the vehicle.
4. The method of claim 1, wherein:
the transit event relates to a route of the transit of the vehicle; and
utilizing the notification in the transit of the vehicle further comprises: adjusting the route of the vehicle in response to the transit event.
5. The method of claim 1, wherein:
the transit of the vehicle is controlled by a vehicle control system according to a driving behavior profile; and
utilizing the notification in the transit of the vehicle further comprises: adjusting the driving behavior profile of the vehicle control system in response to the transit event.
6. A server that provides a transit service to vehicles, the server comprising:
a processor;
a vehicle communicator that communicates with the vehicles; and
a memory storing instructions that, when executed by the processor, provide a system comprising:
a vehicle area group manager that, upon receiving a location of a vehicle, adds the vehicle to a vehicle area group for the location; and
a transit event broadcaster that, upon receiving, from a vehicle, a transit event for the location:
identifies at least one other vehicle of the vehicle area group; and
broadcasts to the at least one other vehicle of the vehicle area group a notification of the transit event.
7. The server of claim 6, wherein the system further comprises: a vehicle anonymizer that:
identifies, in the notification of the transit event, a vehicle identifier that identifies the vehicle that transmitted the transit event; and
removes the vehicle identifier from the notification of the transit event.
8. The server of claim 6, wherein the server adds the vehicle to the vehicle area group by:
upon receiving from the vehicle a first location:
determining whether a vehicle area group exists for the first location;
upon determining that a vehicle area group does not exist for the first location, creating a vehicle area group for the first location; and
upon receiving from the vehicle a second location:
determining whether the second location is associated with the vehicle area group; and
upon determining that the second location is not associated with the vehicle area group, removing the vehicle from the vehicle area group for the first location.
9. The server of claim 6, wherein the server further comprises: a vehicle area group evaluator that, upon receiving a notification of a transit event for the location:
identifies a second location that is affected by the transit event;
identifies at least one vehicle of a second vehicle area group for the second location; and
broadcasts the notification of the transit event to the at least one vehicle of the second vehicle area group.
10. The server of claim 9, wherein:
the second location features a detour option for avoiding the location of the transit event; and
broadcasting the notification of the transit event to the second vehicle area group further comprises: adding to the notification a recommendation to take the detour option to avoid the location of the transit event.
11. The server of claim 9, wherein the system further comprises: a first responder notifier that:
identifies a first responder that provides a first response service relating to the transit event for the location; and
transmits the notification of the transit event to the first responder.
12. The server of claim 6, wherein the system further comprises:
a transit event verifier that, upon receiving the notification of the transit event:
identifies a second vehicle of the vehicle area group that is capable of verifying the transit event, and
transmits to the second vehicle a request to verify the transit event; and
broadcasting the notification to the vehicle area group further comprises: broadcasting the notification of the transit event to the at least one other vehicle of the vehicle area group only after receiving a verification of the transit event from the second vehicle.
13. The server of claim 6, wherein:
the vehicle communicator comprises an internet connection that communicates with a device of the vehicle through the internet using a websocket protocol;
the vehicle area group manager adds the vehicle to the vehicle area group by allocating a websocket to communicate with the vehicle through the internet using the websocket protocol; and
the transit event broadcaster broadcasts the notification of the transit event to the respective at least one other vehicle through the websocket for the other vehicle.
14. A vehicle device that broadcasts localized transit events detected during transit of a vehicle, the vehicle device comprising:
a processor;
a location detector that detects a location of the vehicle;
a transit service communicator that communicates with a transit service;
a transit event detector that detects a transit event in the location of the vehicle; and
a memory storing instructions that, when executed on the processor, cause the vehicle device to provide a system comprising:
a transit service interface that:
transmits the location, via the transit service communicator, to add the vehicle to a vehicle area group for the location, and
transmits, via the transit service communicator, the transit event for broadcasting to other vehicles of the vehicle area group; and
a local event notifier that, upon receiving from the transit service a notification of a transit event for the vehicle area group, utilizes the notification in the transit of the vehicle.
15. The vehicle device of claim 14, wherein:
the transit service communicator further comprises an internet connection through which the transit service communicator communicates with the transit service using a websocket protocol; and
the local event notifier receives the notification from the transit service through a websocket of the websocket protocol allocated to communicate with the transit service.
16. The vehicle device of claim 14, wherein the transit event detector further comprises:
a proximity sensor that generates proximity data indicating a proximity of the vehicle to a second vehicle; and
a proximity data evaluator that evaluates the proximity data to identify the transit event.
17. The vehicle device of claim 14, wherein the transit event detector further comprises: a localized broadcast channel monitor that receives a notification of a localized transit event over a localized broadcast messaging channel.
18. The vehicle device of claim 17, wherein the transit service interface transmits, via the transit service communicator, the notification of the localized transit event received over the localized broadcast messaging channel.
19. The vehicle device of claim 14, wherein the system further comprises: a local transit event rebroadcaster that locally rebroadcasts the notification of the transit event over a localized broadcast messaging channel.
20. The vehicle device of claim 14, wherein:
the vehicle is in communication with a second vehicle of the location through a local vehicle communicator; and
the system further comprises: a local transit event notifier that transmits the notification of the transit event to the second vehicle through the local vehicle communication.
US15/123,005 2014-03-03 2015-03-03 Cloud-mediated vehicle notification exchange for localized transit events Abandoned US20170084175A1 (en)

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US201461946962P 2014-03-03 2014-03-03
US15/123,005 US20170084175A1 (en) 2014-03-03 2015-03-03 Cloud-mediated vehicle notification exchange for localized transit events
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US15/122,750 Active 2036-07-18 US10692370B2 (en) 2014-03-03 2015-02-27 Traffic obstruction detection
US15/121,170 Abandoned US20170032673A1 (en) 2014-03-03 2015-03-01 Driver behavior sharing
US15/122,720 Active 2035-07-08 US10062280B2 (en) 2014-03-03 2015-03-02 Traffic news interface
US15/122,677 Active 2036-05-01 US10629075B2 (en) 2014-03-03 2015-03-02 Providing users with access to routes for traveling
US15/122,704 Active 2035-10-31 US10417910B2 (en) 2014-03-03 2015-03-02 Driving profiles for autonomous vehicles
US15/122,734 Abandoned US20170070616A1 (en) 2014-03-03 2015-03-02 Dynamic communication data usage
US15/122,949 Active US10529231B2 (en) 2014-03-03 2015-03-03 Condition-based lane suggestions for travel advising
US15/123,022 Active US10354527B2 (en) 2014-03-03 2015-03-03 Presenting geographic search results using location projection and time windows
US15/123,244 Active US9685078B2 (en) 2014-03-03 2015-03-03 Traffic flow rates
US15/122,986 Abandoned US20170076598A1 (en) 2014-03-03 2015-03-03 Driving lane change suggestions
US15/121,123 Active 2036-01-09 US11292476B2 (en) 2014-03-03 2015-03-03 Personalization of automated vehicle control
US15/123,005 Abandoned US20170084175A1 (en) 2014-03-03 2015-03-03 Cloud-mediated vehicle notification exchange for localized transit events
US15/122,963 Abandoned US20170076509A1 (en) 2014-03-03 2015-03-03 Assessing environmental impact of vehicle transit
US15/123,043 Active US9940836B2 (en) 2014-03-03 2015-03-03 Estimating transit queue volume using probe ratios
US15/122,973 Abandoned US20170076395A1 (en) 2014-03-03 2015-03-03 User-managed evidentiary record of driving behavior and risk rating
US15/123,241 Abandoned US20170069201A1 (en) 2014-03-03 2015-03-03 Estimating traveler volume by evaluating aerial images
US15/626,449 Active US10319232B2 (en) 2014-03-03 2017-06-19 Traffic flow rates
US16/509,571 Active US10803747B2 (en) 2014-03-03 2019-07-12 Presenting geographic search results using location projection and time windows
US16/571,422 Pending US20200013284A1 (en) 2014-03-03 2019-09-16 Driving profiles for autonomous vehicles
US16/735,622 Abandoned US20200143677A1 (en) 2014-03-03 2020-01-06 Condition-based lane suggestions for travel advising
US16/853,215 Active 2035-04-04 US11634143B2 (en) 2014-03-03 2020-04-20 Providing users with access to routes for traveling
US16/907,472 Abandoned US20200317200A1 (en) 2014-03-03 2020-06-22 Traffic obstruction detection

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US15/121,170 Abandoned US20170032673A1 (en) 2014-03-03 2015-03-01 Driver behavior sharing
US15/122,720 Active 2035-07-08 US10062280B2 (en) 2014-03-03 2015-03-02 Traffic news interface
US15/122,677 Active 2036-05-01 US10629075B2 (en) 2014-03-03 2015-03-02 Providing users with access to routes for traveling
US15/122,704 Active 2035-10-31 US10417910B2 (en) 2014-03-03 2015-03-02 Driving profiles for autonomous vehicles
US15/122,734 Abandoned US20170070616A1 (en) 2014-03-03 2015-03-02 Dynamic communication data usage
US15/122,949 Active US10529231B2 (en) 2014-03-03 2015-03-03 Condition-based lane suggestions for travel advising
US15/123,022 Active US10354527B2 (en) 2014-03-03 2015-03-03 Presenting geographic search results using location projection and time windows
US15/123,244 Active US9685078B2 (en) 2014-03-03 2015-03-03 Traffic flow rates
US15/122,986 Abandoned US20170076598A1 (en) 2014-03-03 2015-03-03 Driving lane change suggestions
US15/121,123 Active 2036-01-09 US11292476B2 (en) 2014-03-03 2015-03-03 Personalization of automated vehicle control

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US15/122,973 Abandoned US20170076395A1 (en) 2014-03-03 2015-03-03 User-managed evidentiary record of driving behavior and risk rating
US15/123,241 Abandoned US20170069201A1 (en) 2014-03-03 2015-03-03 Estimating traveler volume by evaluating aerial images
US15/626,449 Active US10319232B2 (en) 2014-03-03 2017-06-19 Traffic flow rates
US16/509,571 Active US10803747B2 (en) 2014-03-03 2019-07-12 Presenting geographic search results using location projection and time windows
US16/571,422 Pending US20200013284A1 (en) 2014-03-03 2019-09-16 Driving profiles for autonomous vehicles
US16/735,622 Abandoned US20200143677A1 (en) 2014-03-03 2020-01-06 Condition-based lane suggestions for travel advising
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US16/907,472 Abandoned US20200317200A1 (en) 2014-03-03 2020-06-22 Traffic obstruction detection

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Cited By (60)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170012812A1 (en) * 2015-07-07 2017-01-12 International Business Machines Corporation Management of events and moving objects
US20170213461A1 (en) * 2016-01-21 2017-07-27 Ford Global Technologies, Llc System and method for vehicle group communication via dedicated short range communication
US20180005460A1 (en) * 2016-06-29 2018-01-04 Volkswagen Ag Method for spectrally efficient determination of collective environmental information for cooperative and/or autonomous driving
US20180107445A1 (en) * 2015-03-31 2018-04-19 Sony Corporation Information processing device, control method, and program
US10043323B1 (en) * 2014-05-20 2018-08-07 State Farm Mutual Automotive Insurance Company Accident response using autonomous vehicle monitoring
US10048683B2 (en) * 2015-11-04 2018-08-14 Zoox, Inc. Machine learning systems and techniques to optimize teleoperation and/or planner decisions
US20180276974A1 (en) * 2017-03-21 2018-09-27 GM Global Technology Operations LLC Automatic transmission of reminders for devices left behind
US20180286244A1 (en) * 2017-03-31 2018-10-04 T-Mobile U.S.A., Inc. Managing communications between connected vehicles via a cellular network
WO2018183950A1 (en) * 2017-03-31 2018-10-04 T-Mobile Usa, Inc. Managing communications between connected vehicles via a cellular network
US20180286245A1 (en) * 2017-03-31 2018-10-04 T-Mobile U.S.A., Inc. Managing communications for connected vehicles using a cellular network
US20180299283A1 (en) * 2017-04-17 2018-10-18 Ford Global Technologies, Llc Vehicle Route Control
US10134278B1 (en) 2016-01-22 2018-11-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US20180356821A1 (en) * 2015-11-04 2018-12-13 Zoox, Inc. Coordination of dispatching and maintaining fleet of autonomous vehicles
US10157423B1 (en) 2014-11-13 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating style and mode monitoring
US10156848B1 (en) 2016-01-22 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing during emergencies
US10168424B1 (en) 2017-06-21 2019-01-01 International Business Machines Corporation Management of mobile objects
US20190043358A1 (en) * 2016-02-03 2019-02-07 Volkswagen Aktiengesellschaft Methods, devices, and computer programs for providing information about a dangerous situation on a vehicle-to-vehicle interface
US10248119B2 (en) 2015-11-04 2019-04-02 Zoox, Inc. Interactive autonomous vehicle command controller
DE102017218091A1 (en) * 2017-10-11 2019-04-11 Bayerische Motoren Werke Aktiengesellschaft Method and device for updating traffic information
US10262529B2 (en) 2015-06-19 2019-04-16 International Business Machines Corporation Management of moving objects
US10324463B1 (en) 2016-01-22 2019-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation adjustment based upon route
US10334050B2 (en) 2015-11-04 2019-06-25 Zoox, Inc. Software application and logic to modify configuration of an autonomous vehicle
US10339810B2 (en) 2017-06-21 2019-07-02 International Business Machines Corporation Management of mobile objects
US10373259B1 (en) 2014-05-20 2019-08-06 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US10395332B1 (en) 2016-01-22 2019-08-27 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US10401852B2 (en) 2015-11-04 2019-09-03 Zoox, Inc. Teleoperation system and method for trajectory modification of autonomous vehicles
US10446037B2 (en) 2015-11-04 2019-10-15 Zoox, Inc. Software application to request and control an autonomous vehicle service
US10475127B1 (en) 2014-07-21 2019-11-12 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and insurance incentives
US10498685B2 (en) * 2017-11-20 2019-12-03 Google Llc Systems, methods, and apparatus for controlling provisioning of notifications based on sources of the notifications
US10504368B2 (en) 2017-06-21 2019-12-10 International Business Machines Corporation Management of mobile objects
US10540895B2 (en) 2017-06-21 2020-01-21 International Business Machines Corporation Management of mobile objects
US10546488B2 (en) 2017-06-21 2020-01-28 International Business Machines Corporation Management of mobile objects
US20200051427A1 (en) * 2018-08-10 2020-02-13 Honda Motor Co.,Ltd. Control device and computer readable storage medium
US10600322B2 (en) 2017-06-21 2020-03-24 International Business Machines Corporation Management of mobile objects
WO2020089039A1 (en) * 2018-10-29 2020-05-07 Robert Bosch Gmbh Method for the vehicle-based verification of at least one detected dangerous place
US10712750B2 (en) 2015-11-04 2020-07-14 Zoox, Inc. Autonomous vehicle fleet service and system
US10719886B1 (en) 2014-05-20 2020-07-21 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10748419B1 (en) 2015-08-28 2020-08-18 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US20210225092A1 (en) * 2020-01-16 2021-07-22 Ford Global Technologies, Llc Method and apparatus for one to many vehicle broadcast handling
US11106218B2 (en) 2015-11-04 2021-08-31 Zoox, Inc. Adaptive mapping to navigate autonomous vehicles responsive to physical environment changes
US11138418B2 (en) 2018-08-06 2021-10-05 Gal Zuckerman Systems and methods for tracking persons by utilizing imagery data captured by on-road vehicles
US11151883B2 (en) * 2017-11-03 2021-10-19 International Business Machines Corporation Empathic autonomous vehicle
US11206375B2 (en) 2018-03-28 2021-12-21 Gal Zuckerman Analyzing past events by utilizing imagery data captured by a plurality of on-road vehicles
US11242051B1 (en) 2016-01-22 2022-02-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle action communications
US11273283B2 (en) 2017-12-31 2022-03-15 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to enhance emotional response
US11283877B2 (en) 2015-11-04 2022-03-22 Zoox, Inc. Software application and logic to modify configuration of an autonomous vehicle
US11301767B2 (en) 2015-11-04 2022-04-12 Zoox, Inc. Automated extraction of semantic information to enhance incremental mapping modifications for robotic vehicles
US11364361B2 (en) 2018-04-20 2022-06-21 Neuroenhancement Lab, LLC System and method for inducing sleep by transplanting mental states
US11441916B1 (en) 2016-01-22 2022-09-13 State Farm Mutual Automobile Insurance Company Autonomous vehicle trip routing
US11452839B2 (en) 2018-09-14 2022-09-27 Neuroenhancement Lab, LLC System and method of improving sleep
US11474518B2 (en) * 2019-05-13 2022-10-18 International Business Machines Corporation Event validation using multiple sources
US20230045241A1 (en) * 2021-08-03 2023-02-09 GM Global Technology Operations LLC Remote observation and reporting of vehicle operating condition via v2x communication
US11580604B1 (en) 2014-05-20 2023-02-14 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11610493B1 (en) * 2016-03-22 2023-03-21 Amazon Technologies, Inc. Unmanned aerial vehicles utilized to collect updated travel related data for deliveries
US11669090B2 (en) 2014-05-20 2023-06-06 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11669071B2 (en) 2020-01-08 2023-06-06 International Business Machines Corporation Organizing a temporary device group for collaborative computing
US11719545B2 (en) 2016-01-22 2023-08-08 Hyundai Motor Company Autonomous vehicle component damage and salvage assessment
US11717686B2 (en) 2017-12-04 2023-08-08 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to facilitate learning and performance
US11723579B2 (en) 2017-09-19 2023-08-15 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement
DE102022206506A1 (en) 2022-06-28 2023-12-28 Volkswagen Aktiengesellschaft Method for setting up a virtual ad hoc network and central data processing device

Families Citing this family (386)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10118576B2 (en) 2002-06-11 2018-11-06 Intelligent Technologies International, Inc. Shipping container information recordation techniques
US9701265B2 (en) 2002-06-11 2017-07-11 Intelligent Technologies International, Inc. Smartphone-based vehicle control methods
US9562776B2 (en) 2013-04-23 2017-02-07 Intelligent Mechatronic Systems Inc. Location-based security
US20210009136A1 (en) * 2014-03-03 2021-01-14 Inrix, Inc. Presenting geographic search results using location projection and time windows
US10692370B2 (en) * 2014-03-03 2020-06-23 Inrix, Inc. Traffic obstruction detection
US9623878B2 (en) 2014-04-02 2017-04-18 Magna Electronics Inc. Personalized driver assistance system for vehicle
JP6187370B2 (en) * 2014-04-10 2017-08-30 トヨタ自動車株式会社 Driving behavior classification device and driving behavior classification method
US20160179062A1 (en) * 2014-12-17 2016-06-23 Caterpillar Inc. Machine data management system using removable controller
US10025996B2 (en) * 2014-12-22 2018-07-17 Volkswagen Ag Early detection of exit only and shared lanes using perception technology
US10367869B2 (en) * 2014-12-30 2019-07-30 Ford Global Technologies, Llc Remote vehicle control and operation
JP6315827B2 (en) * 2015-03-27 2018-04-25 国立大学法人名古屋大学 Driving assistance device
US11482100B2 (en) * 2015-03-28 2022-10-25 Intel Corporation Technologies for detection of anomalies in vehicle traffic patterns
EP3281020B1 (en) 2015-04-09 2022-05-04 Appy Risk Technologies Limited Opportunistic calibration of a smartphone orientation in a vehicle
ES2624498T3 (en) * 2015-04-18 2017-07-14 Urban Software Institute GmbH System and method for message routing
US10077056B1 (en) 2015-04-24 2018-09-18 State Farm Mutual Automobile Insurance Company Managing self-driving behavior of autonomous or semi-autonomous vehicle based upon actual driving behavior of driver
WO2016177437A1 (en) * 2015-05-05 2016-11-10 Balabit S.A. Computer-implemented method for determining computer system security threats, security operations center system and computer program product
US9616773B2 (en) 2015-05-11 2017-04-11 Uber Technologies, Inc. Detecting objects within a vehicle in connection with a service
US9842437B2 (en) * 2015-06-29 2017-12-12 Allstate Insurance Company Automatically identifying drivers
GB201512490D0 (en) 2015-07-16 2015-08-19 Tomtom Traffic Bv Methods and systems for detecting a closure of a navigable element
KR102135088B1 (en) * 2015-07-20 2020-07-17 엘지전자 주식회사 Autonomous Driving Vehicle
WO2017017761A1 (en) * 2015-07-27 2017-02-02 日産自動車株式会社 Route guidance device and route guidance method
US10691958B1 (en) * 2015-07-30 2020-06-23 Ambarella International Lp Per-lane traffic data collection and/or navigation
KR20170015114A (en) * 2015-07-30 2017-02-08 삼성전자주식회사 Autonomous vehicle and method for controlling the autonomous vehicle
CN108028015B (en) * 2015-09-18 2021-07-23 索尼公司 Information processing apparatus, information processing method, and storage medium
US9958870B1 (en) 2015-09-29 2018-05-01 Amazon Technologies, Inc. Environmental condition identification assistance for autonomous vehicles
US9971348B1 (en) * 2015-09-29 2018-05-15 Amazon Technologies, Inc. Passenger profiles for autonomous vehicles
US10558718B2 (en) * 2015-11-03 2020-02-11 Dell Products, Lp Systems and methods for website improvement
DE102016200759B4 (en) * 2015-11-12 2023-03-30 Volkswagen Aktiengesellschaft Method, device and processing device for controlling functions in a vehicle
CN107010073A (en) * 2015-11-30 2017-08-04 法拉第未来公司 System and method based on the occupancy condition in data aggregate automatic detection vehicle
US10712160B2 (en) 2015-12-10 2020-07-14 Uatc, Llc Vehicle traction map for autonomous vehicles
US20170168487A1 (en) * 2015-12-11 2017-06-15 International Business Machines Corporation System and method for tracking pollution
US9841763B1 (en) 2015-12-16 2017-12-12 Uber Technologies, Inc. Predictive sensor array configuration system for an autonomous vehicle
US9840256B1 (en) 2015-12-16 2017-12-12 Uber Technologies, Inc. Predictive sensor array configuration system for an autonomous vehicle
US20170174221A1 (en) * 2015-12-18 2017-06-22 Robert Lawson Vaughn Managing autonomous vehicles
US10246065B2 (en) 2015-12-29 2019-04-02 Thunder Power New Energy Vehicle Development Company Limited Vehicle hazard detection and warning system
US10479373B2 (en) * 2016-01-06 2019-11-19 GM Global Technology Operations LLC Determining driver intention at traffic intersections for automotive crash avoidance
US10460600B2 (en) * 2016-01-11 2019-10-29 NetraDyne, Inc. Driver behavior monitoring
US9956956B2 (en) * 2016-01-11 2018-05-01 Denso Corporation Adaptive driving system
KR102500838B1 (en) * 2016-01-11 2023-02-16 한화테크윈 주식회사 Method of providing path based on surveillance zone and apparatus for the same
US10165171B2 (en) 2016-01-22 2018-12-25 Coban Technologies, Inc. Systems, apparatuses, and methods for controlling audiovisual apparatuses
EP3405932A1 (en) * 2016-01-29 2018-11-28 KiwiSecurity Software GmbH Methods and apparatus for using video analytics to detect regions for privacy protection within images from moving cameras
US9937923B2 (en) * 2016-01-30 2018-04-10 Bendix Commercial Vehicle Systems Llc System and method for providing a speed warning and speed control
CN105679021B (en) * 2016-02-02 2018-11-06 招商局重庆交通科研设计院有限公司 Journey time fusion forecasting and querying method based on traffic big data
US9672738B1 (en) * 2016-02-02 2017-06-06 Allstate Insurance Company Designing preferred vehicle routes based on driving scores from other vehicles
US10037031B2 (en) * 2016-02-05 2018-07-31 Ford Global Technologies, Llc Vehicle operation states
GB201604159D0 (en) * 2016-02-09 2016-04-27 Tomtom Traffic Bv Methods and systems for identifying navigable elements affected by weather conditions
DE102016202659B3 (en) * 2016-02-22 2016-09-22 Siemens Aktiengesellschaft Method and device for providing recorded, anonymized routes
US9823664B2 (en) 2016-02-25 2017-11-21 A.M.T.S., Llc Unmanned aircraft for positioning an instrument for inspection purposes and methods of inspecting a target surface
US9990548B2 (en) 2016-03-09 2018-06-05 Uber Technologies, Inc. Traffic signal analysis system
EP3217400B1 (en) * 2016-03-10 2018-11-07 Philips Lighting Holding B.V. Pollution estimation system
US10160340B2 (en) * 2016-03-16 2018-12-25 GM Global Technology Operations LLC Adaptive system and method for optimizing battery life in a plug-in vehicle
NO341488B1 (en) * 2016-04-05 2017-11-27 Apace Resources As System for controlling traffic
US10334395B2 (en) 2016-04-07 2019-06-25 Vizsafe, Inc. Targeting individuals based on their location and distributing geo-aware channels or categories to them and requesting information therefrom
US10484724B2 (en) * 2016-04-07 2019-11-19 Vizsafe, Inc. Viewing and streaming live cameras to users near their location as indicated on a map or automatically based on a geofence or location boundary
US10019904B1 (en) 2016-04-11 2018-07-10 State Farm Mutual Automobile Insurance Company System for identifying high risk parking lots
US10222228B1 (en) 2016-04-11 2019-03-05 State Farm Mutual Automobile Insurance Company System for driver's education
US10872379B1 (en) 2016-04-11 2020-12-22 State Farm Mutual Automobile Insurance Company Collision risk-based engagement and disengagement of autonomous control of a vehicle
US10247565B2 (en) 2016-04-11 2019-04-02 State Farm Mutual Automobile Insurance Company Traffic risk avoidance for a route selection system
US10486708B1 (en) * 2016-04-11 2019-11-26 State Farm Mutual Automobile Insurance Company System for adjusting autonomous vehicle driving behavior to mimic that of neighboring/surrounding vehicles
US10571283B1 (en) 2016-04-11 2020-02-25 State Farm Mutual Automobile Insurance Company System for reducing vehicle collisions based on an automated segmented assessment of a collision risk
US10026309B1 (en) 2016-04-11 2018-07-17 State Farm Mutual Automobile Insurance Company Networked vehicle control systems to facilitate situational awareness of vehicles
US11851041B1 (en) 2016-04-11 2023-12-26 State Farm Mutual Automobile Insurance Company System for determining road slipperiness in bad weather conditions
US10233679B1 (en) 2016-04-11 2019-03-19 State Farm Mutual Automobile Insurance Company Systems and methods for control systems to facilitate situational awareness of a vehicle
US9429947B1 (en) * 2016-04-14 2016-08-30 Eric John Wengreen Self-driving vehicle systems and methods
US10042055B2 (en) 2016-04-20 2018-08-07 Here Global B.V. Traffic volume estimation
US9953523B2 (en) 2016-04-22 2018-04-24 Here Global B.V. Node-centric navigation optimization
EP3236446B1 (en) 2016-04-22 2022-04-13 Volvo Car Corporation Arrangement and method for providing adaptation to queue length for traffic light assist-applications
US10370102B2 (en) 2016-05-09 2019-08-06 Coban Technologies, Inc. Systems, apparatuses and methods for unmanned aerial vehicle
US10152858B2 (en) 2016-05-09 2018-12-11 Coban Technologies, Inc. Systems, apparatuses and methods for triggering actions based on data capture and characterization
US10789840B2 (en) * 2016-05-09 2020-09-29 Coban Technologies, Inc. Systems, apparatuses and methods for detecting driving behavior and triggering actions based on detected driving behavior
US10088330B2 (en) * 2016-05-12 2018-10-02 Telenav, Inc. Navigation system with notification mechanism and method of operation thereof
US10202127B2 (en) * 2016-05-19 2019-02-12 Toyota Jidosha Kabushiki Kaisha User profile-based automatic parameter tuning system for connected vehicles
US20170345112A1 (en) * 2016-05-25 2017-11-30 Tyco Fire & Security Gmbh Dynamic Threat Analysis Engine for Mobile Users
US20170349184A1 (en) * 2016-06-06 2017-12-07 GM Global Technology Operations LLC Speech-based group interactions in autonomous vehicles
US10328935B2 (en) * 2016-06-08 2019-06-25 GM Global Technology Operations LLC Adaptive cruise control system and method of operating the same
CN106004735B (en) * 2016-06-27 2019-03-15 京东方科技集团股份有限公司 The method of adjustment of onboard system and vehicle service
JP6550016B2 (en) * 2016-06-27 2019-07-24 株式会社デンソー Vehicle control apparatus and vehicle control method
US10183679B2 (en) * 2016-06-28 2019-01-22 Volkswagen Aktiengesellschaft Apparatus, system and method for personalized settings for driver assistance systems
US10189482B2 (en) * 2016-06-28 2019-01-29 Volkswagen Aktiengesellschaft Apparatus, system and method for personalized settings for driver assistance systems
US20180005052A1 (en) 2016-07-01 2018-01-04 Uber Technologies, Inc. Static object detection for operating autonomous vehicle
US10818173B2 (en) * 2016-07-06 2020-10-27 Ford Global Technologies, Llc Information sharing and user experience enhancement by context-aware vehicles
US10162354B2 (en) 2016-07-21 2018-12-25 Baidu Usa Llc Controlling error corrected planning methods for operating autonomous vehicles
US10112611B2 (en) * 2016-07-25 2018-10-30 Toyota Motor Engineering & Manufacturing North America, Inc. Adaptive vehicle control systems and methods of altering a condition of a vehicle using the same
US11322018B2 (en) 2016-07-31 2022-05-03 NetraDyne, Inc. Determining causation of traffic events and encouraging good driving behavior
DE102016214822B4 (en) * 2016-08-10 2022-06-09 Audi Ag Method for assisting a driver in driving a motor vehicle
DE102016216701B4 (en) * 2016-09-05 2020-01-02 Audi Ag Method for operating a support system for preventing a motor vehicle and motor vehicle from stopping
US10093322B2 (en) * 2016-09-15 2018-10-09 International Business Machines Corporation Automatically providing explanations for actions taken by a self-driving vehicle
US9919648B1 (en) * 2016-09-27 2018-03-20 Robert D. Pedersen Motor vehicle artificial intelligence expert system dangerous driving warning and control system and method
US9931976B1 (en) 2016-10-05 2018-04-03 Dell Products L.P. Truck safety zone using a vehicle gateway
US10145700B2 (en) 2016-10-05 2018-12-04 Dell Products L.P. Vehicle firmware update using a vehicle gateway
US10673948B2 (en) 2016-10-05 2020-06-02 Dell Products L.P. Trailer identification, inspection, and verification using a vehicle gateway
US10315662B2 (en) 2016-10-05 2019-06-11 Dell Products L.P. Determining a driver condition using a vehicle gateway
US10402772B2 (en) 2016-10-05 2019-09-03 Dell Products L.P. Cargo geofencing using a vehicle gateway
US11119480B2 (en) * 2016-10-20 2021-09-14 Magna Electronics Inc. Vehicle control system that learns different driving characteristics
EP3316188A1 (en) * 2016-10-28 2018-05-02 Thomson Licensing LLC Decision making method and system for providing service recommendation system
KR20180051274A (en) * 2016-11-08 2018-05-16 현대자동차주식회사 Method for controlling driving of vehicle using driving information of front vehicle
DE102016221873A1 (en) * 2016-11-08 2018-05-09 Bayerische Motoren Werke Aktiengesellschaft Vehicle guidance depending on an occupant
KR102003940B1 (en) 2016-11-11 2019-10-01 엘지전자 주식회사 Autonomous vehicle and control method thereof
US10328913B2 (en) 2016-11-18 2019-06-25 International Business Machines Corporation Facilitation of automatic adjustment of a braking system
KR20180056084A (en) * 2016-11-18 2018-05-28 현대자동차주식회사 Vehicle and Controlling Method thereof
US10338591B2 (en) 2016-11-22 2019-07-02 Amazon Technologies, Inc. Methods for autonomously navigating across uncontrolled and controlled intersections
WO2018097609A1 (en) 2016-11-26 2018-05-31 팅크웨어(주) Device, method, computer program and computer readable recording medium for route guidance
CN116465424A (en) * 2016-11-26 2023-07-21 星克跃尔株式会社 Apparatus, method, computer program, and computer-readable recording medium for guiding route
CN106407480B (en) * 2016-11-29 2020-02-04 北京世纪高通科技有限公司 Information query method and system
CN110291477B (en) * 2016-12-02 2022-08-16 嘉蒂克人工智能公司 Vehicle control system and method of use
DE102016224290B4 (en) * 2016-12-06 2020-01-09 Trw Automotive Gmbh Process for computer-aided traffic monitoring of route sections of a road network
US10274338B2 (en) * 2016-12-11 2019-04-30 International Business Machines Corporation Risk situations for vehicle occupants based on data provided by vehicle sensors and contextual information
KR20180069492A (en) * 2016-12-15 2018-06-25 현대자동차주식회사 Apparatus and Method for controlling Advanced Driver Assistance System
CN106408139B (en) * 2016-12-20 2019-08-06 中国人民解放军空军装备研究院雷达与电子对抗研究所 Airport arrival rate prediction technique and device
US10794711B2 (en) 2016-12-30 2020-10-06 DeepMap Inc. High definition map updates based on sensor data collected by autonomous vehicles
US10986515B2 (en) * 2017-02-01 2021-04-20 Veniam, Inc. Systems and methods for context-aware and profile-based security in a network of moving things, for example including autonomous vehicles
US10127814B2 (en) * 2017-02-03 2018-11-13 Ford Global Technologies, Llc Advanced V2X event dissemination
JP2018135069A (en) * 2017-02-23 2018-08-30 パナソニックIpマネジメント株式会社 Information processing system, information processing method, and program
US10328973B2 (en) 2017-03-06 2019-06-25 Ford Global Technologies, Llc Assisting drivers with roadway lane changes
US10209718B2 (en) 2017-03-14 2019-02-19 Starsky Robotics, Inc. Vehicle sensor system and method of use
US10250611B2 (en) * 2017-03-14 2019-04-02 Allstate Insurance Company Authenticating drivers
US10139831B2 (en) * 2017-03-17 2018-11-27 Denso International America, Inc. Vehicle system and vehicle controller for controlling vehicle
CN108665699B (en) * 2017-03-30 2020-04-03 杭州海康威视数字技术股份有限公司 Method and device for predicting vehicle appearance place
JP7074125B2 (en) * 2017-03-30 2022-05-24 ソニーグループ株式会社 Information processing equipment and information processing method
US20180281784A1 (en) * 2017-03-31 2018-10-04 GM Global Technology Operations LLC Using a driver profile to enhance vehicle-to-everything applications
US20220012780A1 (en) 2017-04-05 2022-01-13 State Farm Mutual Automobile Insurance Company Systems and methods for estimating vehicle value via blockchain
US10527449B2 (en) 2017-04-10 2020-01-07 Microsoft Technology Licensing, Llc Using major route decision points to select traffic cameras for display
US11087267B1 (en) * 2017-04-12 2021-08-10 Wells Fargo Bank, N.A. Configurable vehicle
US11124139B2 (en) * 2017-04-12 2021-09-21 Kawasaki Jukogyo Kabushiki Kaisha Vehicle conversation information output device and conversation information output method
WO2018189841A1 (en) 2017-04-12 2018-10-18 川崎重工業株式会社 Dialog information output device and dialog information output method for vehicle
DE112018001586T5 (en) * 2017-04-27 2020-01-02 Hitachi Automotive Systems, Ltd. Vehicle control device
CN110234542A (en) * 2017-04-28 2019-09-13 深圳市元征科技股份有限公司 A kind of control method for vehicle and vehicle
US10323951B2 (en) * 2017-05-11 2019-06-18 General Motors Llc Method of generating a navigation-based route for a vehicle
US10279793B2 (en) 2017-05-11 2019-05-07 Honda Motor Co., Ltd. Understanding driver awareness through brake behavior analysis
US10493994B1 (en) 2017-05-11 2019-12-03 State Farm Mutual Automobile Insurance Company Vehicle driver performance based on contextual changes and driver response
US11354616B1 (en) 2017-05-11 2022-06-07 State Farm Mutual Automobile Insurance Company Vehicle driver safety performance based on relativity
US11282009B2 (en) 2017-05-23 2022-03-22 Uatc, Llc Fleet utilization efficiency for on-demand transportation services
EP3410382A1 (en) * 2017-05-30 2018-12-05 iOnRoad Technologies Ltd. Dynamic adaptation of insurance policy for a vehicle according to a selected driving profile
US11334216B2 (en) * 2017-05-30 2022-05-17 Palantir Technologies Inc. Systems and methods for visually presenting geospatial information
US10636293B2 (en) * 2017-06-07 2020-04-28 International Business Machines Corporation Uncertainty modeling in traffic demand prediction
US20180356817A1 (en) * 2017-06-07 2018-12-13 Uber Technologies, Inc. System and Methods to Enable User Control of an Autonomous Vehicle
AU2017417952A1 (en) * 2017-06-09 2019-12-19 Prannoy Roy Predictive traffic management system
US10365653B2 (en) * 2017-06-12 2019-07-30 GM Global Technology Operations LLC Personalized autonomous vehicle ride characteristics
US20170274908A1 (en) * 2017-06-12 2017-09-28 Xiaoning Huai Personalize self-driving cars
US10803536B1 (en) 2017-06-13 2020-10-13 Wells Fargo Bank, N.A. Property hunting trip in an autonomous vehicle
EP3416147B1 (en) * 2017-06-13 2020-01-15 Volvo Car Corporation Method for providing drowsiness alerts in vehicles
US10384602B1 (en) * 2017-06-14 2019-08-20 United Services Automobile Association Systems and methods for detecting and reducing distracted driving
KR102628790B1 (en) 2017-06-20 2024-01-24 모셔널 에이디 엘엘씨 Risk processing for vehicles having autonomous driving capabilities
CN107230384B (en) * 2017-06-21 2020-09-25 深圳市盛路物联通讯技术有限公司 Parking guidance system and method based on expected parking duration and weather information
US10416043B2 (en) 2017-06-23 2019-09-17 Paccar Inc Speed optimality analysis for evaluating the optimality of a powertrain
CN107331163A (en) * 2017-06-30 2017-11-07 贵阳海信网络科技有限公司 A kind of queue length computational methods and device
US11106917B2 (en) * 2017-07-04 2021-08-31 Turing Video Surveillance system with human-machine interface
US20190011275A1 (en) * 2017-07-06 2019-01-10 Andrew Whinston System and method for routing autonomous vehicles
US11651316B2 (en) 2017-07-14 2023-05-16 Allstate Insurance Company Controlling vehicles using contextual driver and/or rider data based on automatic passenger detection and mobility status
US11590981B2 (en) 2017-07-14 2023-02-28 Allstate Insurance Company Shared mobility service passenger matching based on passenger attributes
US11928621B2 (en) 2017-07-14 2024-03-12 Allstate Insurance Company Controlling vehicles using contextual driver and/or rider data based on automatic passenger detection and mobility status
CN107195190B (en) * 2017-07-19 2020-11-10 广东工业大学 Road condition information sharing system
JP6855968B2 (en) * 2017-07-20 2021-04-07 トヨタ自動車株式会社 Information processing equipment, information processing methods and information processing systems
CN107331164B (en) * 2017-07-25 2018-08-28 中南大学 A kind of prediction technique of freeway toll station entrance vehicle number
US10380889B2 (en) * 2017-07-31 2019-08-13 Hewlett Packard Enterprise Development Lp Determining car positions
US10816975B2 (en) * 2017-08-09 2020-10-27 Toyota Motor Engineering & Manufacturing North America, Inc. Autonomous acceleration profile feedback system
CN107484139B (en) * 2017-08-14 2019-10-18 北京邮电大学 A kind of car networking Cooperative Localization Method and device based on geographical location information
JP6561095B2 (en) * 2017-09-01 2019-08-14 本田技研工業株式会社 Replenishment recommendation system and method
US11560177B1 (en) 2017-09-13 2023-01-24 State Farm Mutual Automobile Insurance Company Real-time vehicle driver feedback based on analytics
US11193780B2 (en) 2017-09-19 2021-12-07 Continental Automotive Systems, Inc. Vehicle safety system and method for providing a recommended path
US10783725B1 (en) 2017-09-27 2020-09-22 State Farm Mutual Automobile Insurance Company Evaluating operator reliance on vehicle alerts
WO2019068042A1 (en) 2017-09-29 2019-04-04 Netradyne Inc. Multiple exposure event determination
US10902336B2 (en) * 2017-10-03 2021-01-26 International Business Machines Corporation Monitoring vehicular operation risk using sensing devices
US10223601B1 (en) 2017-10-12 2019-03-05 Denso International America, Inc. Synthetic traffic object generator
WO2019075341A1 (en) 2017-10-12 2019-04-18 Netradyne Inc. Detection of driving actions that mitigate risk
US10670414B2 (en) * 2017-10-20 2020-06-02 Paypal, Inc. Load balancing for map application route selection and output
US10379535B2 (en) 2017-10-24 2019-08-13 Lear Corporation Drowsiness sensing system
DE102017219302A1 (en) * 2017-10-27 2019-05-02 Bayerische Motoren Werke Aktiengesellschaft Method for reducing the risk potential in road traffic
WO2019091568A1 (en) * 2017-11-10 2019-05-16 Bayerische Motoren Werke Aktiengesellschaft Method and apparatus for determining a travel destination from user generated content
DE102017220033A1 (en) * 2017-11-10 2019-05-16 Volkswagen Aktiengesellschaft Method for vehicle navigation
CN107886339A (en) * 2017-11-15 2018-04-06 百度在线网络技术(北京)有限公司 Method and apparatus for output information
US10239452B1 (en) * 2017-11-15 2019-03-26 Ford Global Technologies, Llc Minimizing false collision avoidance warnings
US10836403B2 (en) 2017-12-04 2020-11-17 Lear Corporation Distractedness sensing system
CN111433566A (en) * 2017-12-18 2020-07-17 智加科技公司 Method and system for human-like driving lane planning in an autonomous vehicle
JP7009972B2 (en) * 2017-12-18 2022-01-26 トヨタ自動車株式会社 Server device and congestion identification method
US11273836B2 (en) 2017-12-18 2022-03-15 Plusai, Inc. Method and system for human-like driving lane planning in autonomous driving vehicles
US11130497B2 (en) * 2017-12-18 2021-09-28 Plusai Limited Method and system for ensemble vehicle control prediction in autonomous driving vehicles
US20190185012A1 (en) 2017-12-18 2019-06-20 PlusAI Corp Method and system for personalized motion planning in autonomous driving vehicles
US10648826B2 (en) * 2017-12-20 2020-05-12 Mastercard International Incorporated Providing stop recommendations based on a travel path and transaction data
CN107945557B (en) * 2017-12-21 2020-10-23 爱驰汽车有限公司 Real-time road condition display method and device, computing equipment and computer storage medium
JP6939534B2 (en) * 2017-12-26 2021-09-22 トヨタ自動車株式会社 Vehicle allocation management device
KR20190078996A (en) * 2017-12-27 2019-07-05 삼성전자주식회사 Electronic device for providing operation information of a vecicle and method for the same
JP7035531B2 (en) * 2017-12-28 2022-03-15 トヨタ自動車株式会社 Vehicle operation management system
US11104353B2 (en) * 2018-01-02 2021-08-31 Telenav, Inc. Computing system with autonomous operation mechanism and method of operation thereof
US10780890B2 (en) 2018-01-03 2020-09-22 Toyota Research Institute, Inc. Vehicle systems and methods for detecting and mitigating an incapacitated driver
US11718303B2 (en) * 2018-01-03 2023-08-08 Toyota Research Institute, Inc. Vehicles and methods for building vehicle profiles based on reactions created by surrounding vehicles
US10274950B1 (en) 2018-01-06 2019-04-30 Drivent Technologies Inc. Self-driving vehicle systems and methods
US10299216B1 (en) 2018-01-06 2019-05-21 Eric John Wengreen Self-driving vehicle actions in response to a low battery
US10303181B1 (en) 2018-11-29 2019-05-28 Eric John Wengreen Self-driving vehicle systems and methods
US11073838B2 (en) 2018-01-06 2021-07-27 Drivent Llc Self-driving vehicle systems and methods
JP2019121320A (en) * 2018-01-11 2019-07-22 株式会社小糸製作所 Inter-vehicle communication system, vehicle system, illumination system for vehicle, and vehicle
US11639183B2 (en) * 2018-01-17 2023-05-02 Mitsubishi Electric Corporation Driving control device, driving control method, and computer readable medium
US10733881B2 (en) 2018-01-23 2020-08-04 International Business Machines Corporation Detection of vehicle queueing events on a road
CN110085024A (en) * 2018-01-26 2019-08-02 德尔福技术有限责任公司 Traffic control system
US20190236949A1 (en) * 2018-01-26 2019-08-01 Delphi Technologies, Llc Traffic control system
US10755111B2 (en) 2018-01-29 2020-08-25 Micron Technology, Inc. Identifying suspicious entities using autonomous vehicles
US10460185B2 (en) * 2018-01-30 2019-10-29 Toyota Motor Engineering & Manufacturing North America, Inc. Roadside image tracking system
CN108109380B (en) * 2018-01-31 2020-12-15 迈锐数据(北京)有限公司 System, method and device for detecting vehicle queuing length
US10210409B1 (en) * 2018-02-07 2019-02-19 Lear Corporation Seating system with occupant stimulation and sensing
GB201802366D0 (en) * 2018-02-14 2018-03-28 Tom Tom Traffic B V Methods and systems for generating taffic volumn or traffic density data
US11059494B1 (en) 2018-02-15 2021-07-13 State Farm Mutual Automobile Insurance Company System and method for transferring preferences for autonomous driving
DE102018202623A1 (en) * 2018-02-21 2019-09-12 Bayerische Motoren Werke Aktiengesellschaft System and method for automatic adjustment of vehicle functions
KR102481487B1 (en) * 2018-02-27 2022-12-27 삼성전자주식회사 Autonomous driving apparatus and method thereof
US11009876B2 (en) 2018-03-14 2021-05-18 Micron Technology, Inc. Systems and methods for evaluating and sharing autonomous vehicle driving style information with proximate vehicles
US11727794B2 (en) * 2018-03-14 2023-08-15 Micron Technology, Inc. Systems and methods for evaluating and sharing human driving style information with proximate vehicles
US10909494B2 (en) * 2018-03-27 2021-02-02 Accenture Global Solutions Limited System for collaborative logistics using a collaborative logistics map and a knowledge graph
CN108284838A (en) * 2018-03-27 2018-07-17 杭州欧镭激光技术有限公司 A kind of detecting system and detection method for detecting outside vehicle environmental information
US10578456B2 (en) * 2018-03-28 2020-03-03 Intel Corporation Safety enhanced computer assisted driving method and apparatus
JP6612916B2 (en) * 2018-03-29 2019-11-27 株式会社Subaru Automatic driving integrated control device, automatic driving integrated control system, and vehicle control device
US11550061B2 (en) * 2018-04-11 2023-01-10 Aurora Operations, Inc. Control of autonomous vehicle based on environmental object classification determined using phase coherent LIDAR data
US10997429B2 (en) 2018-04-11 2021-05-04 Micron Technology, Inc. Determining autonomous vehicle status based on mapping of crowdsourced object data
US10676085B2 (en) 2018-04-11 2020-06-09 Aurora Innovation, Inc. Training machine learning model based on training instances with: training instance input based on autonomous vehicle sensor data, and training instance output based on additional vehicle sensor data
US10739147B2 (en) 2018-04-11 2020-08-11 Toyota Jidosha Kabushiki Kaisha Hierarchical route generation, provision, and selection
US20190315342A1 (en) * 2018-04-13 2019-10-17 GM Global Technology Operations LLC Preference adjustment of autonomous vehicle performance dynamics
US11821741B2 (en) 2018-04-17 2023-11-21 Lp-Research Inc. Stress map and vehicle navigation route
US10867218B2 (en) 2018-04-26 2020-12-15 Lear Corporation Biometric sensor fusion to classify vehicle passenger state
US11092963B2 (en) * 2018-04-27 2021-08-17 Motional Ad Llc Autonomous vehicle operation based on passenger-count
US11334753B2 (en) 2018-04-30 2022-05-17 Uatc, Llc Traffic signal state classification for autonomous vehicles
US10979857B2 (en) 2018-05-03 2021-04-13 Curbside Inc. Content conversion tracking based on location data
WO2019216584A1 (en) * 2018-05-07 2019-11-14 Samsung Electronics Co., Ltd. Method and electronic device for determining safety driving score
KR102563708B1 (en) * 2018-05-14 2023-08-09 주식회사 에이치엘클레무브 Apparatus and method for alerting front vehicle start
JP6994567B2 (en) * 2018-05-15 2022-01-14 日立Astemo株式会社 Vehicle control device
CN108806282B (en) * 2018-06-01 2020-09-04 浙江大学 Lane group maximum queuing length estimation method based on sample travel time information
US10922969B2 (en) * 2018-06-04 2021-02-16 GM Global Technology Operations LLC Systems, methods and apparatuses for detecting elevated freeways to prevent engaging cruise features
DE102018209191A1 (en) * 2018-06-08 2019-12-12 Volkswagen Aktiengesellschaft Method and system for operating an automatic driving function in a vehicle
JP7040306B2 (en) 2018-06-13 2022-03-23 トヨタ自動車株式会社 A recording medium that records an operation evaluation device, an operation evaluation method, and an operation evaluation program.
JP7040307B2 (en) * 2018-06-13 2022-03-23 トヨタ自動車株式会社 A recording medium that records an operation evaluation device, an operation evaluation method, and an operation evaluation program.
WO2018167749A2 (en) * 2018-06-13 2018-09-20 Universidad Técnica Particular De Loja System and method for preventing accidents caused by the presence of objects on transport routes resulting from natural phenomena
US11161518B2 (en) 2018-06-15 2021-11-02 Micron Technology, Inc. Detecting road conditions based on braking event data received from vehicles
CN108944740B (en) * 2018-07-10 2022-04-29 深圳市斗索科技有限公司 Vehicle control method and system
US11169601B2 (en) * 2018-07-12 2021-11-09 Toyota Research Institute, Inc. Methods and systems for determining teleoperating user intent via eye tracking
US10909866B2 (en) * 2018-07-20 2021-02-02 Cybernet Systems Corp. Autonomous transportation system and methods
JP7351836B2 (en) * 2018-07-24 2023-09-27 フォルシアクラリオン・エレクトロニクス株式会社 Information gathering device and control method
WO2020023876A1 (en) 2018-07-27 2020-01-30 Class G Incorporated Air traffic tolling system
US10466057B1 (en) 2018-07-30 2019-11-05 Wesley Edward Schwie Self-driving vehicle systems and methods
US11293770B2 (en) 2018-08-02 2022-04-05 salesforces.com, Inc. Geographic routing engine
US10242571B1 (en) * 2018-08-02 2019-03-26 Mapanything, Inc. Utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage
EP3842304A3 (en) * 2018-08-14 2021-09-15 Mobileye Vision Technologies Ltd. Systems and methods for navigating with safe distances
KR102485441B1 (en) * 2018-09-03 2023-01-06 현대자동차주식회사 Vehicle and vehicle system
US20200082287A1 (en) * 2018-09-10 2020-03-12 Here Global B.V. Method and apparatus for selecting a vehicle using a passenger-based driving profile
US10493952B1 (en) 2019-03-21 2019-12-03 Drivent Llc Self-driving vehicle systems and methods
US10223844B1 (en) 2018-09-18 2019-03-05 Wesley Edward Schwie Self-driving vehicle systems and methods
US10289922B1 (en) 2018-09-18 2019-05-14 Eric John Wengreen System for managing lost, mislaid, or abandoned property in a self-driving vehicle
US10282625B1 (en) 2018-10-01 2019-05-07 Eric John Wengreen Self-driving vehicle systems and methods
US10479319B1 (en) 2019-03-21 2019-11-19 Drivent Llc Self-driving vehicle systems and methods
US10471804B1 (en) 2018-09-18 2019-11-12 Drivent Llc Self-driving vehicle systems and methods
US11181387B2 (en) * 2018-09-27 2021-11-23 International Business Machines Corporation Dynamic routing system
US11038895B2 (en) 2018-09-28 2021-06-15 Intel Corporation Trust management mechanisms
US11644833B2 (en) 2018-10-01 2023-05-09 Drivent Llc Self-driving vehicle systems and methods
US11221621B2 (en) 2019-03-21 2022-01-11 Drivent Llc Self-driving vehicle systems and methods
US10900792B2 (en) 2018-10-22 2021-01-26 Drivent Llc Self-driving vehicle systems and methods
US10832569B2 (en) 2019-04-02 2020-11-10 Drivent Llc Vehicle detection systems
US10794714B2 (en) 2018-10-01 2020-10-06 Drivent Llc Self-driving vehicle systems and methods
US11678252B2 (en) * 2018-10-05 2023-06-13 Huawei Technologies Co., Ltd. Quality of service information notification to user equipment, users, and application server
DE102018008045B4 (en) * 2018-10-11 2020-07-23 Daimler Ag Method and device for controlling display content on an output means of a vehicle
US10977882B1 (en) * 2018-10-17 2021-04-13 Lytx, Inc. Driver health profile
US11636353B2 (en) * 2018-10-19 2023-04-25 International Business Machines Corporation Cognitive system for localized LIDAR pollution detection using autonomous vehicles
US10890460B2 (en) * 2018-10-19 2021-01-12 International Business Machines Corporation Navigation and location validation for optimizing vehicle-based transit systems
US10240938B1 (en) 2018-10-22 2019-03-26 Drivent Technologies Inc. Self-driving vehicle systems and methods
US11648951B2 (en) 2018-10-29 2023-05-16 Motional Ad Llc Systems and methods for controlling actuators based on load characteristics and passenger comfort
GB2613740B (en) * 2018-10-30 2023-12-06 Motional Ad Llc Redundancy in autonomous vehicles
US10481606B1 (en) 2018-11-01 2019-11-19 Drivent Llc Self-driving vehicle systems and methods
US10286908B1 (en) 2018-11-01 2019-05-14 Eric John Wengreen Self-driving vehicle systems and methods
US11403492B2 (en) 2018-11-02 2022-08-02 Aurora Operations, Inc. Generating labeled training instances for autonomous vehicles
US11256263B2 (en) 2018-11-02 2022-02-22 Aurora Operations, Inc. Generating targeted training instances for autonomous vehicles
US11209821B2 (en) 2018-11-02 2021-12-28 Aurora Operations, Inc. Labeling autonomous vehicle data
US11163312B2 (en) 2018-11-02 2021-11-02 Aurora Operations, Inc. Removable automotive LIDAR data collection POD
US11829143B2 (en) 2018-11-02 2023-11-28 Aurora Operations, Inc. Labeling autonomous vehicle data
US11086319B2 (en) 2018-11-02 2021-08-10 Aurora Operations, Inc. Generating testing instances for autonomous vehicles
US10940870B1 (en) * 2018-11-28 2021-03-09 BlueOwl, LLC Systems and methods for visualizing predicted driving risk
US11021147B2 (en) 2018-12-12 2021-06-01 Toyota Research Institute, Inc. Vehicles and methods for determining objects of driver focus
US10692388B1 (en) 2018-12-14 2020-06-23 General Electric Company Global environmental data and application methods for understanding engine health and maintenance
US11433917B2 (en) * 2018-12-28 2022-09-06 Continental Autonomous Mobility US, LLC System and method of human interface for recommended path
CN110647789A (en) * 2018-12-29 2020-01-03 北京奇虎科技有限公司 Method and device for identifying position of traffic signal lamp
WO2020133452A1 (en) * 2018-12-29 2020-07-02 驭势科技(北京)有限公司 Intelligent communication method and apparatus
US11237565B2 (en) 2019-01-03 2022-02-01 International Business Machines Corporation Optimal driving characteristic adjustment for autonomous vehicles
KR20210113224A (en) * 2019-01-04 2021-09-15 세렌스 오퍼레이팅 컴퍼니 Methods and systems for improving the safety and flexibility of autonomous vehicles using voice interaction
DE102019200935B4 (en) * 2019-01-25 2020-10-01 Audi Ag Method for operating an autonomously moving road user
US10796571B2 (en) * 2019-01-31 2020-10-06 StradVision, Inc. Method and device for detecting emergency vehicles in real time and planning driving routes to cope with situations to be expected to be occurred by the emergency vehicles
US10668930B1 (en) * 2019-02-04 2020-06-02 State Farm Mutual Automobile Insurance Company Determining acceptable driving behavior based on vehicle specific characteristics
US10377342B1 (en) 2019-02-04 2019-08-13 Drivent Technologies Inc. Self-driving vehicle systems and methods
US10744976B1 (en) 2019-02-04 2020-08-18 Drivent Llc Self-driving vehicle systems and methods
US11466994B2 (en) * 2019-02-08 2022-10-11 Uber Technologies, Inc. Optimized issue reporting system
US11790773B2 (en) 2019-02-25 2023-10-17 Quantifly Llc Vehicle parking data collection system and method
DE102019202581B4 (en) 2019-02-26 2021-09-02 Volkswagen Aktiengesellschaft Method for operating a driver information system in an ego vehicle and driver information system
DE102019202588A1 (en) * 2019-02-26 2020-08-27 Volkswagen Aktiengesellschaft Method for operating a driver information system in an ego vehicle and driver information system
US11443394B2 (en) * 2019-03-22 2022-09-13 International Business Machines Corporation Blockchain based building action management
CN109903563B (en) * 2019-03-27 2021-08-17 武汉理工大学 Secondary parking line position optimization system and method during mixed traveling of bus lane
IT201900004795A1 (en) * 2019-03-29 2020-09-29 Fiat Ricerche AUTOMATIC SPEED REGULATION OF A VEHICLE BASED ON THE DRIVER'S DRIVING BEHAVIOR
US11341846B2 (en) 2019-04-04 2022-05-24 Geotab Inc. Traffic analytics system for defining road networks
US11403938B2 (en) 2019-04-04 2022-08-02 Geotab Inc. Method for determining traffic metrics of a road network
US10699564B1 (en) * 2019-04-04 2020-06-30 Geotab Inc. Method for defining intersections using machine learning
US11335189B2 (en) 2019-04-04 2022-05-17 Geotab Inc. Method for defining road networks
US11335191B2 (en) 2019-04-04 2022-05-17 Geotab Inc. Intelligent telematics system for defining road networks
EP3723063A1 (en) * 2019-04-08 2020-10-14 Ningbo Geely Automobile Research & Development Co. Ltd. Understanding road signs
EP3723062A1 (en) * 2019-04-09 2020-10-14 Siemens Aktiengesellschaft Method and device for the computer-implemented routing of motor vehicles in a predetermined area
US11450157B2 (en) * 2019-04-14 2022-09-20 Otonomo Technologies Ltd. Method and system for bundling automotive data
US11472291B2 (en) 2019-04-25 2022-10-18 Motional Ad Llc Graphical user interface for display of autonomous vehicle behaviors
GB2588983B (en) 2019-04-25 2022-05-25 Motional Ad Llc Graphical user interface for display of autonomous vehicle behaviors
CN110335459A (en) * 2019-04-26 2019-10-15 同济大学 The intersection queue length estimation method and device of low-permeability track of vehicle data
JP7464240B2 (en) * 2019-04-26 2024-04-09 Necソリューションイノベータ株式会社 Prediction model generation device, travel suitability prediction device, prediction model production method, travel suitability prediction method, program and recording medium
CN110001654B (en) * 2019-05-06 2023-07-28 吉林大学 Intelligent vehicle longitudinal speed tracking control system and control method for self-adaptive driver type
CN110136437B (en) * 2019-05-14 2021-03-19 青岛海信网络科技股份有限公司 Method and device for determining left-right interference problem of intersection entrance lane
KR102061750B1 (en) * 2019-05-15 2020-01-03 주식회사 라이드플럭스 Method and apparatus for controlling a vehicle’s driving operation using advance information
US11485374B2 (en) * 2019-05-21 2022-11-01 Pony Ai Inc. System and method for evacuation of a vehicle in condition
CN110263378A (en) * 2019-05-22 2019-09-20 北京汽车股份有限公司 Wiper big data analysis method and apparatus, storage medium
US11374768B2 (en) * 2019-06-11 2022-06-28 Mastercard International Incorporated Method and system for real-time driving alerts
CN110365746A (en) * 2019-06-24 2019-10-22 广州艾帝西信息科技有限公司 A kind of information transferring method and system
DE102019209487A1 (en) * 2019-06-28 2020-12-31 Volkswagen Aktiengesellschaft Process for anonymizing vehicle data
US11422553B2 (en) * 2019-06-28 2022-08-23 Intel Corporation Methods and apparatus to adjust autonomous vehicle driving software using machine programming
CN110456807B (en) * 2019-07-02 2021-01-12 西北工业大学 Multi-spacecraft consistency dynamic gain control method
US11524691B2 (en) 2019-07-29 2022-12-13 Lear Corporation System and method for controlling an interior environmental condition in a vehicle
US11295098B1 (en) * 2019-07-29 2022-04-05 Dev Kumar Thappla Smart driver card device and driver data and traffic management system
KR102135256B1 (en) * 2019-08-08 2020-07-17 엘지전자 주식회사 Method for user authentication of vehicle in autonomous driving system and apparatus thereof
CN110610133A (en) * 2019-08-09 2019-12-24 合肥京东方车载显示技术有限公司 Vehicle communication method and device and terminal equipment
US11100801B2 (en) * 2019-08-12 2021-08-24 Toyota Motor North America, Inc. Utilizing sensors to detect hazard from other vehicle while driving
CN112389451A (en) * 2019-08-14 2021-02-23 大众汽车(中国)投资有限公司 Method, device, medium, and vehicle for providing a personalized driving experience
US11474530B1 (en) 2019-08-15 2022-10-18 Amazon Technologies, Inc. Semantic navigation of autonomous ground vehicles
CN114341962A (en) * 2019-08-29 2022-04-12 三洋电机株式会社 Dangerous vehicle display system, dangerous vehicle display device, dangerous vehicle display program, computer-readable recording medium, and apparatus having recorded the program
US11572067B2 (en) 2019-08-30 2023-02-07 7980302 Canada Inc. Using ISA system to decelerate truck upon entering geofenced area
US10957189B1 (en) * 2019-09-09 2021-03-23 GM Global Technology Operations LLC Automatic vehicle alert and reporting systems and methods
CN110766939B (en) * 2019-09-20 2020-11-06 重庆交通大学 Signalized intersection queuing length estimation method based on vehicle track data
DE102019214476A1 (en) * 2019-09-23 2021-03-25 Siemens Mobility GmbH Data connection operating method, data transmission unit and vehicle with data transmission unit
US20210094565A1 (en) * 2019-09-30 2021-04-01 Ghost Locomotion Inc. Motion-based scene selection for an autonomous vehicle
US20210101618A1 (en) * 2019-10-02 2021-04-08 Upstream Security, Ltd. System and method for connected vehicle risk detection
US11501637B2 (en) * 2019-10-04 2022-11-15 Here Global B.V. Method, apparatus, and system for detecting lane-level slowdown events
US11545035B2 (en) * 2019-11-15 2023-01-03 Toyota Motor Engineering & Manufacturing North America, Inc. Driver notification system
CN110930698B (en) * 2019-11-18 2021-05-04 北京交通大学 Front road transparent calculation method under 5G Internet of vehicles environment
US11636405B2 (en) 2019-11-20 2023-04-25 Here Global B.V. Method, apparatus and computer program product for vehicle platooning
US20210148716A1 (en) * 2019-11-20 2021-05-20 Here Global B.V. Method, apparatus and computer program product for vehicle platooning
US10966069B1 (en) * 2019-12-02 2021-03-30 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for HD map generation using an edge server network
US11521487B2 (en) * 2019-12-09 2022-12-06 Here Global B.V. System and method to generate traffic congestion estimation data for calculation of traffic condition in a region
CN110901646B (en) * 2019-12-11 2021-08-31 北京小马慧行科技有限公司 Vehicle control method, control device, storage medium, and processor
US11781881B2 (en) 2019-12-12 2023-10-10 Toyota Motor Engineering & Manufacturing North America, Inc. Methods and apparatus of vehicle guidance
GB201918833D0 (en) * 2019-12-19 2020-02-05 Tomtom Traffic Bv Methods and systems for generating traffic volume data
US11450205B2 (en) * 2019-12-31 2022-09-20 Zoox, Inc. Emergency vehicle detection and response
US11915115B2 (en) 2019-12-31 2024-02-27 Google Llc Lane selection using machine learning
US11414088B2 (en) * 2020-01-16 2022-08-16 Toyota Motor Engineering & Manufacturing North America, Inc. Anomalous driver detection system
JP7140154B2 (en) * 2020-03-04 2022-09-21 トヨタ自動車株式会社 vehicle controller
US11187551B2 (en) * 2020-03-10 2021-11-30 International Business Machines Corporation Methods and systems for recommending activities to users onboard vehicles
US11433897B2 (en) * 2020-03-13 2022-09-06 GM Global Technology Operations LLC Method and apparatus for determination of optimal cruising lane in an assisted driving system
EP3913551A1 (en) * 2020-05-19 2021-11-24 GEOTAB Inc. Method for defining road networks
US11526711B1 (en) * 2020-05-20 2022-12-13 State Farm Mutual Automobile Insurance Company Synchronizing image data with either vehicle telematics data or infrastructure data pertaining to a road segment
US11571969B2 (en) * 2020-06-04 2023-02-07 Toyota Motor Engineering & Manufacturing North America, Inc. External communication suppression device for driving automation
CN111432347B (en) * 2020-06-11 2020-09-08 腾讯科技(深圳)有限公司 Information processing method, information processing apparatus, storage medium, and electronic device
US11702083B2 (en) 2020-06-11 2023-07-18 7980302 Canada Inc. Using ISA system to implement a speed policy identified based on profile of a driving instance
EP3932699A1 (en) 2020-07-03 2022-01-05 Webfleet Solutions B.V. Tyre selection method and system
CN113934203A (en) * 2020-07-09 2022-01-14 奥迪股份公司 Method, apparatus and storage medium for controlling autonomous vehicle
US11393336B2 (en) * 2020-08-10 2022-07-19 International Business Machines Corporation Smog analysis via digital computing platforms
US11654919B2 (en) * 2020-08-11 2023-05-23 Aptiv Technologies Limited Adaptive user-specific automated driver assistance system warnings
US11613271B2 (en) * 2020-08-18 2023-03-28 Allstate Insurance Company Driver behavior tracking and prediction
US11749105B2 (en) * 2020-10-01 2023-09-05 Magna Electronics Inc. Vehicular communication system with turn signal identification
JP7363734B2 (en) 2020-10-02 2023-10-18 トヨタ自動車株式会社 Traffic management system, traffic management method, and traffic management program
CN112158201B (en) * 2020-10-12 2021-08-10 北京信息职业技术学院 Intelligent driving vehicle transverse control method and system
KR20230093275A (en) * 2020-10-14 2023-06-27 우이시 (상하이) 오토모티브 테크놀로지스 리미티드 Traffic congestion detection method, device, electronic device and storage medium
US11709061B2 (en) 2020-10-16 2023-07-25 Argo AI, LLC Systems and methods for multi-modal transfer capabilities for smart infrastructure
JP7400688B2 (en) * 2020-10-19 2023-12-19 トヨタ自動車株式会社 Display device and display method
CN112269385B (en) * 2020-10-23 2021-09-07 北京理工大学 Cloud unmanned vehicle dynamics control system and method
CN112450003A (en) * 2020-11-17 2021-03-09 刘德 Urban planning method based on volume rate control technology
US20240046784A1 (en) * 2020-12-04 2024-02-08 Viavi Solutions Inc. Distributed acoustic sensing of traffic
CN112712712B (en) * 2020-12-21 2022-05-20 阿波罗智联(北京)科技有限公司 Method and device for determining vehicle queuing information, road side equipment and cloud control platform
US11847914B2 (en) * 2021-01-22 2023-12-19 Ford Global Technologies, Llc Air pollution detection and remediation systems and methods
JP2022122777A (en) * 2021-02-10 2022-08-23 トヨタ自動車株式会社 Information processing apparatus, information processing method, and program
US11904855B2 (en) 2021-02-12 2024-02-20 Toyota Motor Engineering & Manufacturing North America, Inc. Cooperative driving system and method
US11615478B2 (en) 2021-02-19 2023-03-28 Allstate Insurance Company Selectively shared vehicle-based telematics
JP7415978B2 (en) * 2021-02-22 2024-01-17 トヨタ自動車株式会社 Information processing device, program and information processing method
JP2022139190A (en) * 2021-03-11 2022-09-26 本田技研工業株式会社 Drive support device and vehicle
US11702098B2 (en) * 2021-03-23 2023-07-18 The Regents Of The University Of Michigan Roadmanship systems and methods
US11872985B2 (en) * 2021-03-30 2024-01-16 Toyota Motor Engineering & Manufacturing North America, Inc. Determining a setting for a cruise control
US11749108B2 (en) * 2021-03-31 2023-09-05 Honda Motor Co., Ltd. System and method for lane level traffic state estimation
DE102021206152A1 (en) 2021-06-16 2022-12-22 Volkswagen Aktiengesellschaft Method for authenticating a user of a vehicle and vehicle
US11851070B1 (en) * 2021-07-13 2023-12-26 Lytx, Inc. Driver identification using geospatial information
CN113568434B (en) * 2021-08-26 2024-03-12 中国人民解放军空军军医大学 Unmanned aerial vehicle flight control system
TWI782695B (en) * 2021-09-06 2022-11-01 致茂電子股份有限公司 Dual sided optical detection system with fluorescence detection function
CN114241756B (en) * 2021-12-07 2023-03-31 中交第一公路勘察设计研究院有限公司 Method and system for dynamically using hard road shoulder during construction of expressway
CN114162068B (en) * 2021-12-31 2023-12-15 阿维塔科技(重庆)有限公司 Method and device for managing intelligent driving function of vehicle and vehicle
DE102022000185A1 (en) * 2022-01-18 2023-07-20 Mercedes-Benz Group AG Method for determining a user-specific driving profile for an automated driving of a vehicle
US11776397B2 (en) * 2022-02-03 2023-10-03 Toyota Motor North America, Inc. Emergency notifications for transports
FR3133815A1 (en) * 2022-03-23 2023-09-29 Hypervisoul Group METHOD FOR INCREASING THE TRANSPORT CAPACITY OF A ROAD FOR AUTOMATED CONNECTED VEHICLES
US20230368670A1 (en) * 2022-05-10 2023-11-16 Qualcomm Incorporated Techniques for detecting vulnerable road users
FR3136579A1 (en) * 2022-06-14 2023-12-15 Psa Automobiles Sa Method and device for controlling a system for indicating a speed limit of a vehicle based on air pollution information
EP4303045A1 (en) * 2022-07-05 2024-01-10 AirLib Inc. Vehicle cabin air quality management
US20240035837A1 (en) * 2022-07-29 2024-02-01 Toyota Connected North America, Inc. Vehicle carbon footprint management
US20240070158A1 (en) * 2022-08-31 2024-02-29 Alfred R. Barber Systems and methods for older driver/certified driver evaluation
DE102022122780A1 (en) 2022-09-08 2024-03-14 Bayerische Motoren Werke Aktiengesellschaft Device and method for safely activating vehicle functions in the vehicle
CN115985124B (en) * 2022-11-30 2024-02-06 禾多科技(北京)有限公司 Vehicle running control method and device, storage medium and electronic device

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070050130A1 (en) * 2005-08-26 2007-03-01 Grimm Donald K Speed limit advisor
US20090287401A1 (en) * 2008-05-19 2009-11-19 Uri Levine System and method for realtime community information exchange
US20100007523A1 (en) * 2008-07-08 2010-01-14 Nuriel Hatav Driver alert system
US20100060480A1 (en) * 2008-09-05 2010-03-11 Gm Global Technology Operations, Inc. Reliable Packet Delivery Protocol for Geocast Protocol in Disconnected Vehicular Ad Hoc Network
US20100161195A1 (en) * 2008-12-18 2010-06-24 Gm Global Technology Operations, Inc. Method and Apparatus for Speed-Limit Following Cruise Control
US20110087433A1 (en) * 2009-10-08 2011-04-14 Honda Motor Co., Ltd. Method of Dynamic Intersection Mapping
US20120229301A1 (en) * 2008-07-24 2012-09-13 Cecil Wayne Hilton Goodwin Driver initiated vehicle-to-vehicle anonymous warning device
US8412413B1 (en) * 2011-12-21 2013-04-02 Delphi Technologies, Inc. Vehicle windshield display with obstruction detection
US20130131969A1 (en) * 2005-09-22 2013-05-23 Clayco Research Limited Liability Company Device, system and method for controlling speed of a vehicle using a positional information device
US20140039784A1 (en) * 2012-07-31 2014-02-06 Flatiron Apps LLC System and method for hailing taxicabs

Family Cites Families (284)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7164117B2 (en) * 1992-05-05 2007-01-16 Automotive Technologies International, Inc. Vehicular restraint system control system and method using multiple optical imagers
US5189621A (en) * 1987-05-06 1993-02-23 Hitachi, Ltd. Electronic engine control apparatus
FR2648905B1 (en) * 1989-06-26 1994-06-17 Est Ctre Etu Techn Equipement DEVICE FOR ASSESSING THE BEHAVIOR OF ROAD USERS
WO1993009511A1 (en) * 1991-11-01 1993-05-13 Motorola, Inc. A vehicle route planning system
US5465289A (en) 1993-03-05 1995-11-07 E-Systems, Inc. Cellular based traffic sensor system
US6317721B1 (en) * 1995-04-10 2001-11-13 Texas Instruments Incorporated Transaction accounting of toll transactions in transponder systems
US7110880B2 (en) * 1997-10-22 2006-09-19 Intelligent Technologies International, Inc. Communication method and arrangement
US7629899B2 (en) 1997-10-22 2009-12-08 Intelligent Technologies International, Inc. Vehicular communication arrangement and method
WO1997020433A1 (en) * 1995-12-01 1997-06-05 Southwest Research Institute Methods and apparatus for traffic incident detection
DE19606258C1 (en) 1996-02-06 1997-04-30 Mannesmann Ag Vehicle autonomous traffic jam detection method
US5878368A (en) 1996-09-13 1999-03-02 Magellan Dis, Inc. Navigation system with user definable cost values
US20020150050A1 (en) * 1999-06-17 2002-10-17 Nathanson Martin D. Automotive telemetry protocol
JPH11304518A (en) 1998-04-22 1999-11-05 Sanyo Electric Co Ltd Navigation device
DE19835979B4 (en) * 1998-08-08 2005-01-05 Daimlerchrysler Ag Method for monitoring traffic conditions and vehicle inflow control in a road network
DE19843395A1 (en) 1998-09-22 2000-03-23 Volkswagen Ag Method for speed and / or distance control in motor vehicles
US6177885B1 (en) 1998-11-03 2001-01-23 Esco Electronics, Inc. System and method for detecting traffic anomalies
US6542808B2 (en) * 1999-03-08 2003-04-01 Josef Mintz Method and system for mapping traffic congestion
US6401034B1 (en) * 1999-09-02 2002-06-04 Navigation Technologies Corp. Method and system for finding intermediate destinations with a navigation system
US6490519B1 (en) * 1999-09-27 2002-12-03 Decell, Inc. Traffic monitoring system and methods for traffic monitoring and route guidance useful therewith
JP2001188986A (en) * 1999-12-30 2001-07-10 Hiroshi Tanaka Method for measuring vehicle travel speed and traffic volume on road by aerial photography
US6697730B2 (en) 2000-04-04 2004-02-24 Georgia Tech Research Corp. Communications and computing based urban transit system
JP4517256B2 (en) 2000-04-25 2010-08-04 ソニー株式会社 Car equipment
US6553301B1 (en) * 2000-05-19 2003-04-22 General Motors Corporation System and method of providing optimal fuel economy for automobiles
US6765495B1 (en) * 2000-06-07 2004-07-20 Hrl Laboratories, Llc Inter vehicle communication system
US8346580B2 (en) * 2000-06-09 2013-01-01 Flash Seats, Llc System and method for managing transfer of ownership rights to access to a venue and allowing access to the venue to patron with the ownership right
US6317686B1 (en) * 2000-07-21 2001-11-13 Bin Ran Method of providing travel time
US7203598B1 (en) * 2000-09-26 2007-04-10 Nortel Networks Limited Traffic information and automatic route guidance
JP2002123894A (en) * 2000-10-16 2002-04-26 Hitachi Ltd Method and apparatus for controlling probe car and traffic control system using probe car
US6895329B1 (en) * 2000-10-30 2005-05-17 Board Of Trustees Of The University Of Illinois Method and system for querying in a moving object database
US6615133B2 (en) * 2001-02-27 2003-09-02 International Business Machines Corporation Apparatus, system, method and computer program product for determining an optimum route based on historical information
CA2339433A1 (en) * 2001-03-07 2002-09-07 Lawrence Solomon Road toll system for alleviating traffic congestion
US6615137B2 (en) * 2001-06-26 2003-09-02 Medius, Inc. Method and apparatus for transferring information between vehicles
US6950504B1 (en) * 2001-07-06 2005-09-27 Cingular Wireless Ii, Inc. Method and apparatus for providing personal audio alert messaging for audio alerting capable terminals
DE60121963T2 (en) 2001-10-15 2007-01-18 Ford Global Technologies, LLC, Dearborn Method and device for controlling a vehicle
JP3933929B2 (en) * 2001-12-28 2007-06-20 アルパイン株式会社 Navigation device
US20030162523A1 (en) * 2002-02-27 2003-08-28 Michael Kapolka Vehicle telemetry system and method
US7221287B2 (en) 2002-03-05 2007-05-22 Triangle Software Llc Three-dimensional traffic report
ES2425555T3 (en) * 2002-04-30 2013-10-16 Telmap Ltd. Navigation system that uses corridor maps
US7483840B2 (en) * 2002-08-23 2009-01-27 Atera /Solutions Llc Randomized competitive insurance pricing system and method
CN100507450C (en) 2002-09-24 2009-07-01 三洋电机株式会社 Navigation apparatus and server apparatus
JP3885716B2 (en) * 2002-11-21 2007-02-28 日産自動車株式会社 Recommended operation amount generator for vehicles
US7155339B2 (en) * 2003-06-13 2006-12-26 Alpine Electronics, Inc. Display method and apparatus for navigation system for searching POI and arranging listing order of POI
WO2005003885A2 (en) * 2003-07-07 2005-01-13 Sensomatix Ltd. Traffic information system
DE10343683A1 (en) 2003-09-20 2005-04-21 Daimler Chrysler Ag Information system for motor vehicles
JP4507815B2 (en) * 2004-07-09 2010-07-21 アイシン・エィ・ダブリュ株式会社 Signal information creating method, signal guide information providing method, and navigation apparatus
US7091880B2 (en) * 2004-07-15 2006-08-15 Raytheon Company Licensed driver detection for high occupancy toll lane qualification
US7831384B2 (en) * 2004-10-29 2010-11-09 Aol Inc. Determining a route to destination based on partially completed route
US7835859B2 (en) * 2004-10-29 2010-11-16 Aol Inc. Determining a route to a destination based on partially completed route
US7348895B2 (en) * 2004-11-03 2008-03-25 Lagassey Paul J Advanced automobile accident detection, data recordation and reporting system
US7519564B2 (en) * 2004-11-16 2009-04-14 Microsoft Corporation Building and using predictive models of current and future surprises
US8832121B2 (en) * 2005-02-02 2014-09-09 Accuweather, Inc. Location-based data communications system and method
US7501947B2 (en) 2005-05-04 2009-03-10 Tc License, Ltd. RFID tag with small aperture antenna
BRPI0520270B1 (en) * 2005-06-01 2019-10-01 Allstate Insurance Company EVALUATION METHOD OF AT LEAST ONE INDIVIDUAL
US7720630B1 (en) * 2005-06-02 2010-05-18 Wsi Corporation Personalized transportation information system
JP4369403B2 (en) 2005-07-05 2009-11-18 株式会社豊田中央研究所 Acceleration feeling evaluation apparatus and vehicle control apparatus
ES2374221T3 (en) * 2005-07-11 2012-02-14 Volvo Technology Corporation METHODS AND DEVICE FOR CARRYING OUT THE IDENTITY CHECK OF A DRIVER.
CA2621150A1 (en) * 2005-09-02 2007-03-08 Hntb Holdings Ltd System and method for collecting and transporting simulation data
TWI287514B (en) * 2005-11-03 2007-10-01 Ind Tech Res Inst Inter-vehicle communication and warning apparatus
GB0523512D0 (en) 2005-11-18 2005-12-28 Applied Generics Ltd Enhancing traffic and navigation information with visual and audio data
KR100797394B1 (en) 2005-12-08 2008-01-28 한국전자통신연구원 Apparatus and Method for Providing Traffic Jam Information for Installing on the Road
JP4463757B2 (en) * 2005-12-09 2010-05-19 株式会社小松製作所 Vehicle travel control device
EP1969456A4 (en) * 2005-12-12 2015-11-04 Tegic Comm Llc Mobile device retrieval and navigation
US8942483B2 (en) 2009-09-14 2015-01-27 Trimble Navigation Limited Image-based georeferencing
US7495550B2 (en) * 2005-12-28 2009-02-24 Palo Alto Research Center Incorporated Method and apparatus for rear-end collision warning and accident mitigation
GB2434346B (en) * 2006-01-18 2011-01-05 Airmax Group Plc Method and system for driver style monitoring and analysing
US7912628B2 (en) * 2006-03-03 2011-03-22 Inrix, Inc. Determining road traffic conditions using data from multiple data sources
US20070208493A1 (en) 2006-03-03 2007-09-06 Inrix, Inc. Identifying unrepresentative road traffic condition data obtained from mobile data sources
ATE409307T1 (en) * 2006-03-31 2008-10-15 Research In Motion Ltd USER INTERFACE METHOD AND APPARATUS FOR CONTROLLING THE VISUAL DISPLAY OF MAPS WITH SELECTABLE MAP ELEMENTS IN MOBILE COMMUNICATION DEVICES
US20080228365A1 (en) * 2006-04-05 2008-09-18 White Steven C Vehicle power inhibiter
US9067565B2 (en) * 2006-05-22 2015-06-30 Inthinc Technology Solutions, Inc. System and method for evaluating driver behavior
JP4342535B2 (en) * 2006-07-10 2009-10-14 トヨタ自動車株式会社 Congestion degree creation method, congestion degree creation device
US7908076B2 (en) * 2006-08-18 2011-03-15 Inrix, Inc. Representative road traffic flow information based on historical data
US7822546B2 (en) * 2006-09-05 2010-10-26 Garmin Switzerland Gmbh Travel guide and schedule-based routing device and method
JP4842070B2 (en) * 2006-09-25 2011-12-21 アルパイン株式会社 In-vehicle navigation device, search data creation method, and guidance route search method
JP4130847B2 (en) * 2006-09-28 2008-08-06 松下電器産業株式会社 Destination prediction apparatus and method
US8531521B2 (en) * 2006-10-06 2013-09-10 Sightlogix, Inc. Methods and apparatus related to improved surveillance using a smart camera
US7603233B2 (en) * 2006-10-16 2009-10-13 Alpine Electronics, Inc. Map matching method and apparatus for navigation system
US8755991B2 (en) 2007-01-24 2014-06-17 Tomtom Global Assets B.V. Method and structure for vehicular traffic prediction with link interactions and missing real-time data
US20080204277A1 (en) 2007-02-27 2008-08-28 Roy Sumner Adaptive traffic signal phase change system
US7783417B2 (en) * 2007-03-09 2010-08-24 Mitac International Corporation Methods and apparatus for determining a route having an estimated minimum fuel usage for a vehicle
US20080262710A1 (en) * 2007-04-23 2008-10-23 Jing Li Method and system for a traffic management system based on multiple classes
US20080300776A1 (en) 2007-06-01 2008-12-04 Petrisor Gregory C Traffic lane management system
JP4793331B2 (en) * 2007-06-13 2011-10-12 日産自動車株式会社 Control device for vehicle shifting
US20090005964A1 (en) * 2007-06-28 2009-01-01 Apple Inc. Intelligent Route Guidance
US7720844B2 (en) * 2007-07-03 2010-05-18 Vulcan, Inc. Method and system for continuous, dynamic, adaptive searching based on a continuously evolving personal region of interest
US9076331B2 (en) 2007-07-16 2015-07-07 Crucs Holdings, Llc System and method to monitor vehicles on a roadway and to control driving restrictions of vehicle drivers
US10083607B2 (en) * 2007-09-07 2018-09-25 Green Driver, Inc. Driver safety enhancement using intelligent traffic signals and GPS
US7755509B2 (en) * 2007-09-20 2010-07-13 Traffic.Com, Inc. Use of pattern matching to predict actual traffic conditions of a roadway segment
JP4561802B2 (en) * 2007-10-02 2010-10-13 株式会社デンソー Map display device and program
US8849183B2 (en) * 2007-10-05 2014-09-30 Qualcomm Incorporated Location and time based filtering of broadcast information
FR2929034B1 (en) * 2008-03-20 2010-04-16 Armines Ass Pour La Rech Et Le SYSTEM AND METHOD FOR INFORMATION ON TRAFFIC IN A ROAD NETWORK
US20090265105A1 (en) * 2008-04-21 2009-10-22 Igt Real-time navigation devices, systems and methods
US7519472B1 (en) 2008-05-15 2009-04-14 International Business Machines Corporation Inferring static traffic artifact presence, location, and specifics from aggregated navigation system data
JP4547721B2 (en) * 2008-05-21 2010-09-22 株式会社デンソー Automotive information provision system
US20090322560A1 (en) * 2008-06-30 2009-12-31 General Motors Corporation In-vehicle alert delivery maximizing communications efficiency and subscriber privacy
JP4733165B2 (en) * 2008-06-30 2011-07-27 株式会社デンソー Vehicle navigation system
US20100023265A1 (en) * 2008-07-24 2010-01-28 Gm Global Technology Operations, Inc. Adaptive vehicle control system with integrated driving style recognition
KR101028328B1 (en) * 2008-08-26 2011-04-12 현대자동차주식회사 System for evaluating point of interest and method thereof
US20100057358A1 (en) 2008-08-28 2010-03-04 TeleType Co., Inc. Portable gps map device for commercial vehicle industry
TWI382156B (en) 2008-09-17 2013-01-11 Inventec Appliances Corp Portable navigation device and method
US8009062B2 (en) * 2008-09-22 2011-08-30 Rothschild Leigh M Vehicle traffic flow data acquisition and distribution
US8010285B1 (en) * 2008-09-30 2011-08-30 Denise Jason A Electronic navigation related technology
US8150611B2 (en) * 2008-09-30 2012-04-03 International Business Machines Corporation System and methods for providing predictive traffic information
US20100094543A1 (en) * 2008-10-09 2010-04-15 411 Web Directory Systems And Methods For Providing Geography-Based Tours
US8775070B1 (en) * 2008-10-15 2014-07-08 Intuit Inc. Method and system for user preference-based route calculation
EP2342536A1 (en) * 2008-11-06 2011-07-13 TomTom International B.V. Data acquisition apparatus, data acquisition system and method of acquiring data
US8156068B2 (en) * 2008-11-13 2012-04-10 Telecommunication Systems, Inc. Predictive ephemeral points-of-interest (PEPOI)
CA2749685A1 (en) * 2008-11-13 2010-05-20 Aser Rich Limited System and method for improved vehicle safety through enhanced situation awareness of a driver of a vehicle
US8351912B2 (en) * 2008-12-12 2013-01-08 Research In Motion Limited System and method for providing traffic notifications to mobile devices
US20100153191A1 (en) * 2008-12-17 2010-06-17 International Business Machines Corporation Variable toll fee selection from geographic indicia
US20100157061A1 (en) * 2008-12-24 2010-06-24 Igor Katsman Device and method for handheld device based vehicle monitoring and driver assistance
US8600577B2 (en) * 2008-12-29 2013-12-03 Motorola Mobility Llc Navigation system and methods for generating enhanced search results
DE112009004307B4 (en) 2009-01-19 2017-03-23 Toyota Jidosha Kabushiki Kaisha Vehicle control device
US8458177B2 (en) * 2009-02-02 2013-06-04 Yahoo! Inc. Automated search
US8188887B2 (en) * 2009-02-13 2012-05-29 Inthinc Technology Solutions, Inc. System and method for alerting drivers to road conditions
JP5152677B2 (en) * 2009-02-26 2013-02-27 アイシン・エィ・ダブリュ株式会社 Navigation device and navigation program
US8457888B2 (en) * 2009-03-08 2013-06-04 Mitac International Corp. Method for reminding users about future appointments while taking into account traveling time to the appointment location
US8838370B2 (en) * 2009-03-09 2014-09-16 Empire Technology Development Llc Traffic flow model to provide traffic flow information
US8965670B2 (en) * 2009-03-27 2015-02-24 Hti Ip, L.L.C. Method and system for automatically selecting and displaying traffic images
CA2756183A1 (en) * 2009-03-30 2010-10-07 Aha Mobile, Inc. Predictive search with location-based application
US9154982B2 (en) * 2009-04-02 2015-10-06 Trafficcast International, Inc. Method and system for a traffic management network
WO2010114619A1 (en) * 2009-04-03 2010-10-07 Certusview Technologies, Llc Methods, apparatus, and systems for acquiring and analyzing vehicle data and generating an electronic representation of vehicle operations
US20100262449A1 (en) * 2009-04-09 2010-10-14 Access Mobility, Inc. Context based mobile marketing
US9141087B2 (en) 2009-04-26 2015-09-22 Nike, Inc. Athletic watch
WO2010132677A1 (en) * 2009-05-13 2010-11-18 Rutgers, The State University Vehicular information systems and methods
US20100283432A1 (en) * 2009-05-11 2010-11-11 Simon Ellwanger Vehicle Timing Apparatus
US8325642B1 (en) * 2009-05-14 2012-12-04 Cellco Partnership Redirection of message from mobile station based on identity of mobile station
US8977489B2 (en) * 2009-05-18 2015-03-10 GM Global Technology Operations LLC Turn by turn graphical navigation on full windshield head-up display
US9767209B2 (en) * 2009-05-28 2017-09-19 Apple Inc. Search filtering based on expected future time and location
US8577543B2 (en) * 2009-05-28 2013-11-05 Intelligent Mechatronic Systems Inc. Communication system with personal information management and remote vehicle monitoring and control features
US9086292B2 (en) * 2009-06-26 2015-07-21 Microsoft Technology Licensing, Llc Routing, alerting, and transportation guidance based on preferences and learned or inferred risks and desirabilities
US9552726B2 (en) * 2009-08-24 2017-01-24 Here Global B.V. Providing driving condition alerts using road attribute data
US9183740B2 (en) * 2009-09-24 2015-11-10 Mitsubishi Electric Corporation Travel pattern generation device
US8433512B1 (en) * 2009-11-12 2013-04-30 Google Inc. Enhanced identification of interesting points-of-interest
JP4992959B2 (en) 2009-11-30 2012-08-08 株式会社デンソー Collision avoidance support device and collision avoidance support program
EP2330562B1 (en) * 2009-12-02 2019-03-13 Telit Automotive Solutions NV Smart road-toll-system
US8396663B2 (en) * 2009-12-15 2013-03-12 Navteq B.V. Speed profile dictionary
US8510045B2 (en) * 2009-12-22 2013-08-13 Steven L. Rueben Digital maps displaying search-resulting points-of-interest in user delimited regions
EP2343694B1 (en) * 2009-12-29 2012-03-14 Research In Motion Limited System and method of sending an arrival time estimate
EP2341493A1 (en) * 2009-12-29 2011-07-06 Research In Motion Limited System and method for faster detection of traffic jams
US9518833B2 (en) * 2009-12-29 2016-12-13 Blackberry Limited System and method of automatic destination selection
US8532920B2 (en) * 2010-01-22 2013-09-10 Blackberry Limited Automatic origin determination for faster route request initiation and resulting system response time
DE102011003993A1 (en) * 2010-02-15 2011-08-18 DENSO CORPORATION, Aichi-pref. Charge controller and navigation device for a plug-in vehicle
CA2789699C (en) * 2010-03-11 2016-05-03 Inrix, Inc. Learning road navigation paths based on aggregate driver behavior
DE102010011497A1 (en) * 2010-03-16 2011-09-22 GM Global Technology Operations LLC , (n. d. Ges. d. Staates Delaware) Method for avoiding or mitigating a collision, control device for a driver assistance system and vehicle
DE102010014076A1 (en) * 2010-04-07 2011-10-13 Gm Global Technology Operations Llc (N.D.Ges.D. Staates Delaware) Method for adapting a driving behavior of a vehicle when changing drivers
US20110301835A1 (en) * 2010-06-07 2011-12-08 James Bongiorno Portable vacation/travel planner, and family tour guide device
US8645061B2 (en) * 2010-06-16 2014-02-04 Microsoft Corporation Probabilistic map matching from a plurality of observational and contextual factors
US9047778B1 (en) * 2010-06-25 2015-06-02 Cellco Partnership Collision avoidance system using telematics unit
EP2609582B1 (en) * 2010-08-23 2019-10-09 Status Technologies Pty Ltd A vehicle safety warning and information system
US20120065834A1 (en) * 2010-09-10 2012-03-15 Accenture Global Services Limited Driving management system and method
US8738283B2 (en) * 2010-09-24 2014-05-27 Telenav, Inc. Navigation system with parking lot integrated routing mechanism and method of operation thereof
DE102010041544B4 (en) * 2010-09-28 2023-05-04 Bayerische Motoren Werke Aktiengesellschaft Driver assistance system to support the driver in consumption-controlled driving
US8509982B2 (en) * 2010-10-05 2013-08-13 Google Inc. Zone driving
US8238872B2 (en) * 2010-10-18 2012-08-07 GM Global Technology Operations LLC Vehicle data management system and method
US20120109521A1 (en) * 2010-10-27 2012-05-03 Reagan Inventions, Llc System and method of integrating lane position monitoring with locational information systems
US8552886B2 (en) * 2010-11-24 2013-10-08 Bcs Business Consulting Services Pte Ltd. Crash warning system for motor vehicles
EP2469231A1 (en) * 2010-12-22 2012-06-27 Sony Ericsson Mobile Communications AB Method and arrangement relating to navigation
CN102073846B (en) * 2010-12-15 2013-06-05 同济大学 Method for acquiring traffic information based on aerial images
US9134137B2 (en) * 2010-12-17 2015-09-15 Microsoft Technology Licensing, Llc Mobile search based on predicted location
US20130282264A1 (en) * 2010-12-31 2013-10-24 Edwin Bastiaensen Systems and methods for obtaining and using traffic flow information
WO2012089282A1 (en) * 2010-12-31 2012-07-05 Tomtom Belgium Nv Navigation methods and systems
DE102011000409A1 (en) * 2011-01-31 2012-08-02 Dr. Ing. H.C. F. Porsche Aktiengesellschaft Method for evaluating driving dynamic characteristic of driving profile adapted to motor vehicle, involves performing road test with test persons, which performs road test with given driving style
US20120215594A1 (en) * 2011-02-18 2012-08-23 Amtech Systems, LLC System and method for gps lane and toll determination and asset position matching
US8660864B2 (en) * 2011-02-28 2014-02-25 Hartford Fire Insurance Company Systems and methods for intelligent underwriting based on community or social network data
US9221428B2 (en) * 2011-03-02 2015-12-29 Automatic Labs Inc. Driver identification system and methods
JP2012226392A (en) 2011-04-14 2012-11-15 Honda Elesys Co Ltd Drive support system
US9229905B1 (en) * 2011-04-22 2016-01-05 Angel A. Penilla Methods and systems for defining vehicle user profiles and managing user profiles via cloud systems and applying learned settings to user profiles
WO2012146475A2 (en) 2011-04-27 2012-11-01 Robert Bosch Gmbh Vehicle navigation system - maximum toll limit
JP5763757B2 (en) 2011-05-20 2015-08-12 本田技研工業株式会社 Lane change support system
US8521407B2 (en) * 2011-06-10 2013-08-27 GM Global Technology Operations LLC System and method for ensuring a person reaches a destination on time
US8788113B2 (en) * 2011-06-13 2014-07-22 Ford Global Technologies, Llc Vehicle driver advisory system and method
US20110307188A1 (en) * 2011-06-29 2011-12-15 State Farm Insurance Systems and methods for providing driver feedback using a handheld mobile device
US8996304B2 (en) * 2011-06-29 2015-03-31 Intel Corporation Customized travel route system
US8949212B1 (en) * 2011-07-08 2015-02-03 Hariharan Dhandapani Location-based informaton display
US8740165B2 (en) * 2011-07-22 2014-06-03 Larry O'Kasick Point-of-sale organizer
US20130024309A1 (en) 2011-07-24 2013-01-24 Tuomas Sandholm Barter chains
WO2013016719A1 (en) * 2011-07-28 2013-01-31 School Improvement Network, Llc Management and provision of interactive content
US20140172521A1 (en) * 2011-07-29 2014-06-19 Nec Corporation Traffic Control System, Congestion Control Method, Information Processing Apparatus, and Control Method and Storage Medium Therefor
JP5741310B2 (en) * 2011-08-10 2015-07-01 富士通株式会社 Train length measuring device, train length measuring method, and train length measuring computer program
US9361271B2 (en) * 2011-09-27 2016-06-07 Wipro Limited Systems and methods to enable eco-driving
US8874367B2 (en) * 2011-10-14 2014-10-28 Equilateral Technologies, Inc. Method for estimating and displaying range of a vehicle
US20130110633A1 (en) * 2011-11-02 2013-05-02 Digital Footsteps, Ltd. Adaptive presentation of guided tour information on mobile client terminal(s)
US20130132434A1 (en) * 2011-11-22 2013-05-23 Inrix, Inc. User-assisted identification of location conditions
JP5724864B2 (en) * 2011-12-13 2015-05-27 アイシン・エィ・ダブリュ株式会社 Display system, display method, and display program
US8892355B2 (en) * 2011-12-21 2014-11-18 Telenav, Inc. Navigation system with point of interest validation mechanism and method of operation thereof
US20120109508A1 (en) 2011-12-28 2012-05-03 Ariel Inventions, Llc Method and system for route navigation based on energy efficiency
US8855925B2 (en) * 2012-01-20 2014-10-07 GM Global Technology Operations LLC Adaptable navigation device
US8750618B2 (en) * 2012-01-31 2014-06-10 Taif University Method for coding images with shape and detail information
US8635018B2 (en) * 2012-02-03 2014-01-21 International Business Machines Corporation Managing a driver profile
US9381916B1 (en) * 2012-02-06 2016-07-05 Google Inc. System and method for predicting behaviors of detected objects through environment representation
JP5704086B2 (en) * 2012-02-07 2015-04-22 株式会社デンソー Car navigation system
US20130218604A1 (en) * 2012-02-21 2013-08-22 Elwha Llc Systems and methods for insurance based upon monitored characteristics of a collision detection system
US20130219307A1 (en) * 2012-02-21 2013-08-22 Artisan Mobile, Inc. System and method for runtime user interface management
JP2013171491A (en) * 2012-02-22 2013-09-02 Nippon Expressway Research Institute Co Ltd Traffic estimation system using single image
US8843158B2 (en) * 2012-02-22 2014-09-23 Apple Inc. Delivering content by predicting predetermined routes using wireless networks
US10311651B2 (en) * 2012-02-29 2019-06-04 Conduent Business Services, Llc Method and system for providing dynamic pricing algorithm with embedded controller for high occupancy toll lanes
US9200918B2 (en) * 2012-03-09 2015-12-01 Apple Inc. Intelligent destination recommendations based on historical data
US8788121B2 (en) 2012-03-09 2014-07-22 Proxy Technologies, Inc. Autonomous vehicle and method for coordinating the paths of multiple autonomous vehicles
US9147298B2 (en) * 2012-03-14 2015-09-29 Flextronics Ap, Llc Behavior modification via altered map routes based on user profile information
US20130278441A1 (en) * 2012-04-24 2013-10-24 Zetta Research and Development, LLC - ForC Series Vehicle proxying
KR101860540B1 (en) * 2012-04-26 2018-05-23 한국전자통신연구원 Portable terminal and method for sharing location information between users
DE102012207859A1 (en) * 2012-05-11 2013-11-14 Robert Bosch Gmbh Method for creating a driving profile
JPWO2013171898A1 (en) * 2012-05-18 2016-01-07 トヨタ自動車株式会社 Vehicle information display device
US8799032B2 (en) * 2012-05-22 2014-08-05 Hartford Fire Insurance Company System and method to predict an insurance policy benefit associated with telematics data
US8972318B2 (en) 2012-05-31 2015-03-03 Qualcomm Incorporated Predicting user behavior using feedback on previously run predictive searches
US9430941B2 (en) * 2012-06-10 2016-08-30 Apple Inc. Harvesting traffic information from mobile devices
US20130338914A1 (en) * 2012-06-14 2013-12-19 Wavemarket Inc. System and method for notifying vehicle driver of localized driving conditions
US9053632B2 (en) * 2012-06-29 2015-06-09 International Business Machines Corporation Real-time traffic prediction and/or estimation using GPS data with low sampling rates
CN102855759B (en) * 2012-07-05 2014-04-09 中国科学院遥感应用研究所 Automatic collecting method of high-resolution satellite remote sensing traffic flow information
JP6215950B2 (en) * 2012-09-17 2017-10-18 ボルボ ラストバグナー アクチエボラグ How to give a vehicle driver an instructional message based on the situation
US9110196B2 (en) * 2012-09-20 2015-08-18 Google, Inc. Detecting road weather conditions
US20140085106A1 (en) * 2012-09-21 2014-03-27 Checkers Industrial Products, Llc Vehicle proximity warning system and methods
SE537958C2 (en) * 2012-09-24 2015-12-08 Scania Cv Ab Procedure, measuring device and control unit for adapting vehicle train control
US9037519B2 (en) 2012-10-18 2015-05-19 Enjoyor Company Limited Urban traffic state detection based on support vector machine and multilayer perceptron
CN202944628U (en) * 2012-10-19 2013-05-22 王克远 Double zipper transparent storage box
DE102012219927A1 (en) * 2012-10-31 2014-04-30 Bayerische Motoren Werke Aktiengesellschaft Vehicle assistance device
US9208684B2 (en) * 2012-11-01 2015-12-08 Verizon Patent And Licensing Inc. Travel optimization system
US9950708B1 (en) * 2012-11-02 2018-04-24 Waymo Llc Adaptation of autonomous driving behaviour based on occupant presence and position
US10088316B2 (en) * 2012-11-28 2018-10-02 Toyota Motor Engineering & Manufacturing North America, Inc. Navigation systems and vehicles for predicting routes
US20140172294A1 (en) * 2012-12-14 2014-06-19 Magnasoft Consulting India Pvt. Ltd Method and system for predicting expected time of arrival of objects
US8892359B2 (en) * 2013-01-11 2014-11-18 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for estimating time of arrival for vehicle navigation
US9439036B2 (en) * 2013-01-25 2016-09-06 Visa International Service Association Systems and methods to select locations of interest based on distance from route points or route paths
WO2014160027A1 (en) * 2013-03-13 2014-10-02 Image Sensing Systems, Inc. Roadway sensing systems
US9082014B2 (en) * 2013-03-14 2015-07-14 The Nielsen Company (Us), Llc Methods and apparatus to estimate demography based on aerial images
US9200915B2 (en) * 2013-06-08 2015-12-01 Apple Inc. Mapping application with several user interfaces
CN105229422B (en) * 2013-03-15 2018-04-27 大众汽车有限公司 Automatic Pilot route planning application
US9751534B2 (en) * 2013-03-15 2017-09-05 Honda Motor Co., Ltd. System and method for responding to driver state
US9631930B2 (en) * 2013-03-15 2017-04-25 Apple Inc. Warning for frequently traveled trips based on traffic
US20140316958A1 (en) * 2013-04-17 2014-10-23 Green Edge Technologies, Inc. Systems, devices, and methods for energy account management
US9454905B2 (en) * 2013-04-29 2016-09-27 Global Foundries Inc. Safe distance determination
DE102013210941A1 (en) * 2013-06-12 2014-12-18 Robert Bosch Gmbh Method and device for operating a vehicle
US20150014901A1 (en) * 2013-07-09 2015-01-15 NOVA LEATHER ENTERPRISES Co. LTD. Method for manufacturing non-sewing three-dimensional fabric capable of polychrome printing
US9111453B1 (en) * 2013-08-01 2015-08-18 Mohammad A. Alselimi Traffic management server and a traffic recording apparatus
US9211891B2 (en) * 2013-08-02 2015-12-15 Inrix Inc. Personalized vehicle driving suggestions
US9175970B2 (en) * 2013-08-02 2015-11-03 Cummins Inc. Online optimal refueling management
US9243925B2 (en) * 2013-08-27 2016-01-26 Google Inc. Generating a sequence of lane-specific driving directions
US9232119B2 (en) * 2013-10-08 2016-01-05 Raytheon Company Integrating image frames
WO2015052953A1 (en) * 2013-10-08 2015-04-16 日本電気株式会社 Vehicle guidance system, vehicle guidance method, management device, and control method for same
US9361690B2 (en) * 2013-10-09 2016-06-07 Xerox Corporation Video based method and system for automated side-by-side traffic load balancing
US9435660B2 (en) * 2013-10-16 2016-09-06 Mapquest, Inc. Systems and methods for initiating mapping exit routines and rating highway exits
US20150120192A1 (en) * 2013-10-25 2015-04-30 Aviv Ron Navigation guidance including provision of stops
US9183743B2 (en) * 2013-10-31 2015-11-10 Bayerische Motoren Werke Aktiengesellschaft Systems and methods for estimating traffic signal information
US9485543B2 (en) * 2013-11-12 2016-11-01 Google Inc. Methods, systems, and media for presenting suggestions of media content
US9517771B2 (en) * 2013-11-22 2016-12-13 Ford Global Technologies, Llc Autonomous vehicle modes
JP6230620B2 (en) * 2013-12-10 2017-11-15 三菱電機株式会社 Travel control device
KR20150068218A (en) * 2013-12-11 2015-06-19 경북대학교 산학협력단 Vehicular Navigation System
WO2015088522A1 (en) * 2013-12-11 2015-06-18 Intel Corporation Individual driving preference adapted computerized assist or autonomous driving of vehicles
US9251630B2 (en) * 2013-12-17 2016-02-02 At&T Intellectual Property I, L.P. Method, computer-readable storage device and apparatus for exchanging vehicle information
US20150199664A1 (en) * 2014-01-15 2015-07-16 Mastercard International Incorporated Methods, systems, and computer readable media for facilitating access to transportation services
US9230435B2 (en) * 2014-01-28 2016-01-05 Hti Ip, Llc Driver controllable traffic signal
US20150228129A1 (en) * 2014-02-10 2015-08-13 Metromile, Inc. System and method for profiling vehicle usage
JP6298322B2 (en) * 2014-02-27 2018-03-20 株式会社ゼンリン Route search device, route search method and program
US9539999B2 (en) * 2014-02-28 2017-01-10 Ford Global Technologies, Llc Vehicle operator monitoring and operations adjustments
US10692370B2 (en) * 2014-03-03 2020-06-23 Inrix, Inc. Traffic obstruction detection
US9605606B2 (en) * 2014-03-31 2017-03-28 Toyota Motor Engineering & Manufacturing North America, Inc. System and method for improving energy efficiency of a vehicle based on determined relationships between a plurality of routes
US9390621B2 (en) * 2014-06-04 2016-07-12 Cuende Infometrics, S.A. System and method for measuring the real traffic flow of an area
US9779623B2 (en) * 2014-07-02 2017-10-03 Lenovo Enterprise Solutions (Singapore) Pte. Ltd. Communication of alerts to vehicles based on vehicle movement
JP2016033501A (en) * 2014-07-31 2016-03-10 トヨタ自動車株式会社 Vehicle information provision device
US20160061617A1 (en) * 2014-09-02 2016-03-03 Microsoft Corporation Providing in-navigation search results that reduce route disruption
US10140785B1 (en) * 2014-09-02 2018-11-27 Metromile, Inc. Systems and methods for determining fuel information of a vehicle
US9997077B2 (en) * 2014-09-04 2018-06-12 Honda Motor Co., Ltd. Vehicle operation assistance
KR20170041162A (en) * 2014-09-05 2017-04-14 요코하마 고무 가부시키가이샤 Collision avoidance system and collision avoidance method
US20160123752A1 (en) * 2014-10-30 2016-05-05 Microsoft Corporation Estimating and predicting fuel usage with smartphone
DE102015105581A1 (en) * 2014-11-03 2016-05-04 Audi Ag System and method for monitoring the health and / or health of a vehicle occupant
US20160147416A1 (en) * 2014-11-21 2016-05-26 Here Global B.V. Method and apparatus for determining a representation of a point of interest based on user experience
WO2016086139A1 (en) * 2014-11-26 2016-06-02 Ispd, Inc. System and method for traffic decongestion
US10175054B2 (en) * 2015-01-11 2019-01-08 Microsoft Technology Licensing, Llc Predicting and utilizing variability of travel times in mapping services
US9435657B2 (en) * 2015-01-14 2016-09-06 Telenav, Inc. Navigation system with an itinerary planning mechanism and method of operation thereof
US20160209219A1 (en) * 2015-01-15 2016-07-21 Applied Telemetrics Holdings Inc. Method of autonomous lane identification for a multilane vehicle roadway
US9841767B1 (en) * 2015-01-20 2017-12-12 State Farm Mutual Automobile Insurance Company Using emergency response system (EMS) vehicle telematics data to reduce accident risk
US9537971B2 (en) * 2015-01-29 2017-01-03 Huawei Technologies Co., Ltd. Systems, devices and methods for distributed content pre-fetching in mobile communication networks
US10083494B2 (en) * 2015-01-30 2018-09-25 Huawei Technologies Co., Ltd. Systems, devices and methods for distributed content pre-fetching to a user device
US9672759B2 (en) * 2015-05-11 2017-06-06 Here Global B.V. Probe based identification and validation of roundabout junctions
US10097973B2 (en) * 2015-05-27 2018-10-09 Apple Inc. Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device
US9638542B2 (en) * 2015-05-28 2017-05-02 Alpine Electronics, Inc. Method and system of route scheduling and presenting route-based fuel information
US9959339B2 (en) * 2015-07-13 2018-05-01 International Business Machines Corporation Journey time estimation
US9803992B2 (en) * 2015-10-09 2017-10-31 At&T Mobility Ii Llc Suspending voice guidance during route navigation
US9908468B2 (en) * 2016-01-12 2018-03-06 Toyota Motor Engineering & Manufacturing North America, Inc. Apparatus and method for providing an extended forward collision warning
US10525848B2 (en) * 2016-08-02 2020-01-07 Here Global B.V. Vehicle charging lanes
US10332039B2 (en) * 2016-08-17 2019-06-25 International Business Machines Corporation Intelligent travel planning
US9921070B1 (en) * 2016-09-22 2018-03-20 Trimble Inc. System for planning trips with estimated time of arrival (ETA) and projected time of availability (PTA) calculated for each stop
US10958742B2 (en) * 2017-02-16 2021-03-23 International Business Machines Corporation Cognitive content filtering
JP6763317B2 (en) * 2017-02-22 2020-09-30 トヨタ自動車株式会社 Fuel cell vehicle and its control method

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070050130A1 (en) * 2005-08-26 2007-03-01 Grimm Donald K Speed limit advisor
US20130131969A1 (en) * 2005-09-22 2013-05-23 Clayco Research Limited Liability Company Device, system and method for controlling speed of a vehicle using a positional information device
US20090287401A1 (en) * 2008-05-19 2009-11-19 Uri Levine System and method for realtime community information exchange
US20100007523A1 (en) * 2008-07-08 2010-01-14 Nuriel Hatav Driver alert system
US20120229301A1 (en) * 2008-07-24 2012-09-13 Cecil Wayne Hilton Goodwin Driver initiated vehicle-to-vehicle anonymous warning device
US20100060480A1 (en) * 2008-09-05 2010-03-11 Gm Global Technology Operations, Inc. Reliable Packet Delivery Protocol for Geocast Protocol in Disconnected Vehicular Ad Hoc Network
US20100161195A1 (en) * 2008-12-18 2010-06-24 Gm Global Technology Operations, Inc. Method and Apparatus for Speed-Limit Following Cruise Control
US20110087433A1 (en) * 2009-10-08 2011-04-14 Honda Motor Co., Ltd. Method of Dynamic Intersection Mapping
US8412413B1 (en) * 2011-12-21 2013-04-02 Delphi Technologies, Inc. Vehicle windshield display with obstruction detection
US20140039784A1 (en) * 2012-07-31 2014-02-06 Flatiron Apps LLC System and method for hailing taxicabs

Cited By (192)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10719886B1 (en) 2014-05-20 2020-07-21 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10043323B1 (en) * 2014-05-20 2018-08-07 State Farm Mutual Automotive Insurance Company Accident response using autonomous vehicle monitoring
US11288751B1 (en) 2014-05-20 2022-03-29 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10504306B1 (en) * 2014-05-20 2019-12-10 State Farm Mutual Automobile Insurance Company Accident response using autonomous vehicle monitoring
US11580604B1 (en) 2014-05-20 2023-02-14 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10748218B2 (en) 2014-05-20 2020-08-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle technology effectiveness determination for insurance pricing
US10726498B1 (en) 2014-05-20 2020-07-28 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10726499B1 (en) 2014-05-20 2020-07-28 State Farm Mutual Automoible Insurance Company Accident fault determination for autonomous vehicles
US11080794B2 (en) 2014-05-20 2021-08-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle technology effectiveness determination for insurance pricing
US11710188B2 (en) 2014-05-20 2023-07-25 State Farm Mutual Automobile Insurance Company Autonomous communication feature use and insurance pricing
US11669090B2 (en) 2014-05-20 2023-06-06 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11282143B1 (en) 2014-05-20 2022-03-22 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US10510123B1 (en) 2014-05-20 2019-12-17 State Farm Mutual Automobile Insurance Company Accident risk model determination using autonomous vehicle operating data
US10529027B1 (en) 2014-05-20 2020-01-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11869092B2 (en) 2014-05-20 2024-01-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US11127083B1 (en) 2014-05-20 2021-09-21 State Farm Mutual Automobile Insurance Company Driver feedback alerts based upon monitoring use of autonomous vehicle operation features
US10719885B1 (en) 2014-05-20 2020-07-21 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and insurance pricing
US10685403B1 (en) 2014-05-20 2020-06-16 State Farm Mutual Automobile Insurance Company Fault determination with autonomous feature use monitoring
US10963969B1 (en) 2014-05-20 2021-03-30 State Farm Mutual Automobile Insurance Company Autonomous communication feature use and insurance pricing
US10223479B1 (en) 2014-05-20 2019-03-05 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature evaluation
US11127086B2 (en) 2014-05-20 2021-09-21 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US10373259B1 (en) 2014-05-20 2019-08-06 State Farm Mutual Automobile Insurance Company Fully autonomous vehicle insurance pricing
US11010840B1 (en) 2014-05-20 2021-05-18 State Farm Mutual Automobile Insurance Company Fault determination with autonomous feature use monitoring
US11023629B1 (en) 2014-05-20 2021-06-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature evaluation
US10354330B1 (en) 2014-05-20 2019-07-16 State Farm Mutual Automobile Insurance Company Autonomous feature use monitoring and insurance pricing
US11062396B1 (en) 2014-05-20 2021-07-13 State Farm Mutual Automobile Insurance Company Determining autonomous vehicle technology performance for insurance pricing and offering
US11436685B1 (en) 2014-05-20 2022-09-06 State Farm Mutual Automobile Insurance Company Fault determination with autonomous feature use monitoring
US11386501B1 (en) 2014-05-20 2022-07-12 State Farm Mutual Automobile Insurance Company Accident fault determination for autonomous vehicles
US11348182B1 (en) 2014-05-20 2022-05-31 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation feature monitoring and evaluation of effectiveness
US10974693B1 (en) 2014-07-21 2021-04-13 State Farm Mutual Automobile Insurance Company Methods of theft prevention or mitigation
US10540723B1 (en) 2014-07-21 2020-01-21 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and usage-based insurance
US11030696B1 (en) 2014-07-21 2021-06-08 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and anonymous driver data
US11068995B1 (en) 2014-07-21 2021-07-20 State Farm Mutual Automobile Insurance Company Methods of reconstructing an accident scene using telematics data
US10997849B1 (en) 2014-07-21 2021-05-04 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US11565654B2 (en) 2014-07-21 2023-01-31 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and driving behavior identification
US11257163B1 (en) 2014-07-21 2022-02-22 State Farm Mutual Automobile Insurance Company Methods of pre-generating insurance claims
US11069221B1 (en) 2014-07-21 2021-07-20 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US11634103B2 (en) 2014-07-21 2023-04-25 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US11634102B2 (en) 2014-07-21 2023-04-25 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10723312B1 (en) 2014-07-21 2020-07-28 State Farm Mutual Automobile Insurance Company Methods of theft prevention or mitigation
US10832327B1 (en) 2014-07-21 2020-11-10 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and driving behavior identification
US10825326B1 (en) 2014-07-21 2020-11-03 State Farm Mutual Automobile Insurance Company Methods of facilitating emergency assistance
US10475127B1 (en) 2014-07-21 2019-11-12 State Farm Mutual Automobile Insurance Company Methods of providing insurance savings based upon telematics and insurance incentives
US10431018B1 (en) 2014-11-13 2019-10-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US11532187B1 (en) 2014-11-13 2022-12-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US11173918B1 (en) 2014-11-13 2021-11-16 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10824144B1 (en) 2014-11-13 2020-11-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10416670B1 (en) 2014-11-13 2019-09-17 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US11175660B1 (en) 2014-11-13 2021-11-16 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US11247670B1 (en) 2014-11-13 2022-02-15 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10353694B1 (en) 2014-11-13 2019-07-16 State Farm Mutual Automobile Insurance Company Autonomous vehicle software version assessment
US10336321B1 (en) 2014-11-13 2019-07-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10266180B1 (en) 2014-11-13 2019-04-23 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US11127290B1 (en) 2014-11-13 2021-09-21 State Farm Mutual Automobile Insurance Company Autonomous vehicle infrastructure communication device
US11494175B2 (en) 2014-11-13 2022-11-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US11014567B1 (en) 2014-11-13 2021-05-25 State Farm Mutual Automobile Insurance Company Autonomous vehicle operator identification
US10246097B1 (en) 2014-11-13 2019-04-02 State Farm Mutual Automobile Insurance Company Autonomous vehicle operator identification
US11500377B1 (en) 2014-11-13 2022-11-15 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10241509B1 (en) 2014-11-13 2019-03-26 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10824415B1 (en) 2014-11-13 2020-11-03 State Farm Automobile Insurance Company Autonomous vehicle software version assessment
US10821971B1 (en) 2014-11-13 2020-11-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US10943303B1 (en) 2014-11-13 2021-03-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating style and mode monitoring
US10940866B1 (en) 2014-11-13 2021-03-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10166994B1 (en) 2014-11-13 2019-01-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating status assessment
US10915965B1 (en) 2014-11-13 2021-02-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle insurance based upon usage
US10831204B1 (en) 2014-11-13 2020-11-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US10157423B1 (en) 2014-11-13 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operating style and mode monitoring
US11645064B2 (en) 2014-11-13 2023-05-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle accident and emergency response
US11720968B1 (en) 2014-11-13 2023-08-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle insurance based upon usage
US11726763B2 (en) 2014-11-13 2023-08-15 State Farm Mutual Automobile Insurance Company Autonomous vehicle automatic parking
US11740885B1 (en) 2014-11-13 2023-08-29 State Farm Mutual Automobile Insurance Company Autonomous vehicle software version assessment
US11954482B2 (en) 2014-11-13 2024-04-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle control assessment and selection
US10831191B1 (en) 2014-11-13 2020-11-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle accident and emergency response
US11748085B2 (en) 2014-11-13 2023-09-05 State Farm Mutual Automobile Insurance Company Autonomous vehicle operator identification
US10776070B2 (en) * 2015-03-31 2020-09-15 Sony Corporation Information processing device, control method, and program
US20180107445A1 (en) * 2015-03-31 2018-04-19 Sony Corporation Information processing device, control method, and program
US10262529B2 (en) 2015-06-19 2019-04-16 International Business Machines Corporation Management of moving objects
US10749734B2 (en) * 2015-07-07 2020-08-18 International Business Machines Corporation Management of events and moving objects
US10742479B2 (en) 2015-07-07 2020-08-11 International Business Machines Corporation Management of events and moving objects
US10742478B2 (en) 2015-07-07 2020-08-11 International Business Machines Corporation Management of events and moving objects
US20170012812A1 (en) * 2015-07-07 2017-01-12 International Business Machines Corporation Management of events and moving objects
US10977945B1 (en) 2015-08-28 2021-04-13 State Farm Mutual Automobile Insurance Company Vehicular driver warnings
US10748419B1 (en) 2015-08-28 2020-08-18 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US11450206B1 (en) 2015-08-28 2022-09-20 State Farm Mutual Automobile Insurance Company Vehicular traffic alerts for avoidance of abnormal traffic conditions
US10950065B1 (en) 2015-08-28 2021-03-16 State Farm Mutual Automobile Insurance Company Shared vehicle usage, monitoring and feedback
US10769954B1 (en) 2015-08-28 2020-09-08 State Farm Mutual Automobile Insurance Company Vehicular driver warnings
US10401852B2 (en) 2015-11-04 2019-09-03 Zoox, Inc. Teleoperation system and method for trajectory modification of autonomous vehicles
US11106218B2 (en) 2015-11-04 2021-08-31 Zoox, Inc. Adaptive mapping to navigate autonomous vehicles responsive to physical environment changes
US10334050B2 (en) 2015-11-04 2019-06-25 Zoox, Inc. Software application and logic to modify configuration of an autonomous vehicle
US11314249B2 (en) 2015-11-04 2022-04-26 Zoox, Inc. Teleoperation system and method for trajectory modification of autonomous vehicles
US10712750B2 (en) 2015-11-04 2020-07-14 Zoox, Inc. Autonomous vehicle fleet service and system
US11301767B2 (en) 2015-11-04 2022-04-12 Zoox, Inc. Automated extraction of semantic information to enhance incremental mapping modifications for robotic vehicles
US11283877B2 (en) 2015-11-04 2022-03-22 Zoox, Inc. Software application and logic to modify configuration of an autonomous vehicle
US11067983B2 (en) * 2015-11-04 2021-07-20 Zoox, Inc. Coordination of dispatching and maintaining fleet of autonomous vehicles
US10248119B2 (en) 2015-11-04 2019-04-02 Zoox, Inc. Interactive autonomous vehicle command controller
US10446037B2 (en) 2015-11-04 2019-10-15 Zoox, Inc. Software application to request and control an autonomous vehicle service
US20180356821A1 (en) * 2015-11-04 2018-12-13 Zoox, Inc. Coordination of dispatching and maintaining fleet of autonomous vehicles
US10591910B2 (en) 2015-11-04 2020-03-17 Zoox, Inc. Machine-learning systems and techniques to optimize teleoperation and/or planner decisions
US11796998B2 (en) 2015-11-04 2023-10-24 Zoox, Inc. Autonomous vehicle fleet service and system
US10048683B2 (en) * 2015-11-04 2018-08-14 Zoox, Inc. Machine learning systems and techniques to optimize teleoperation and/or planner decisions
US11061398B2 (en) 2015-11-04 2021-07-13 Zoox, Inc. Machine-learning systems and techniques to optimize teleoperation and/or planner decisions
US20170213461A1 (en) * 2016-01-21 2017-07-27 Ford Global Technologies, Llc System and method for vehicle group communication via dedicated short range communication
US11625802B1 (en) 2016-01-22 2023-04-11 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US11441916B1 (en) 2016-01-22 2022-09-13 State Farm Mutual Automobile Insurance Company Autonomous vehicle trip routing
US11015942B1 (en) 2016-01-22 2021-05-25 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing
US11022978B1 (en) 2016-01-22 2021-06-01 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing during emergencies
US11656978B1 (en) 2016-01-22 2023-05-23 State Farm Mutual Automobile Insurance Company Virtual testing of autonomous environment control system
US10545024B1 (en) 2016-01-22 2020-01-28 State Farm Mutual Automobile Insurance Company Autonomous vehicle trip routing
US10156848B1 (en) 2016-01-22 2018-12-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle routing during emergencies
US11062414B1 (en) 2016-01-22 2021-07-13 State Farm Mutual Automobile Insurance Company System and method for autonomous vehicle ride sharing using facial recognition
US11682244B1 (en) 2016-01-22 2023-06-20 State Farm Mutual Automobile Insurance Company Smart home sensor malfunction detection
US10503168B1 (en) 2016-01-22 2019-12-10 State Farm Mutual Automotive Insurance Company Autonomous vehicle retrieval
US11719545B2 (en) 2016-01-22 2023-08-08 Hyundai Motor Company Autonomous vehicle component damage and salvage assessment
US10829063B1 (en) 2016-01-22 2020-11-10 State Farm Mutual Automobile Insurance Company Autonomous vehicle damage and salvage assessment
US10747234B1 (en) 2016-01-22 2020-08-18 State Farm Mutual Automobile Insurance Company Method and system for enhancing the functionality of a vehicle
US10679497B1 (en) 2016-01-22 2020-06-09 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10579070B1 (en) 2016-01-22 2020-03-03 State Farm Mutual Automobile Insurance Company Method and system for repairing a malfunctioning autonomous vehicle
US11879742B2 (en) 2016-01-22 2024-01-23 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US11119477B1 (en) 2016-01-22 2021-09-14 State Farm Mutual Automobile Insurance Company Anomalous condition detection and response for autonomous vehicles
US10324463B1 (en) 2016-01-22 2019-06-18 State Farm Mutual Automobile Insurance Company Autonomous vehicle operation adjustment based upon route
US10134278B1 (en) 2016-01-22 2018-11-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US10828999B1 (en) 2016-01-22 2020-11-10 State Farm Mutual Automobile Insurance Company Autonomous electric vehicle charging
US11124186B1 (en) 2016-01-22 2021-09-21 State Farm Mutual Automobile Insurance Company Autonomous vehicle control signal
US11016504B1 (en) 2016-01-22 2021-05-25 State Farm Mutual Automobile Insurance Company Method and system for repairing a malfunctioning autonomous vehicle
US11136024B1 (en) 2016-01-22 2021-10-05 State Farm Mutual Automobile Insurance Company Detecting and responding to autonomous environment incidents
US11526167B1 (en) 2016-01-22 2022-12-13 State Farm Mutual Automobile Insurance Company Autonomous vehicle component maintenance and repair
US11513521B1 (en) 2016-01-22 2022-11-29 State Farm Mutual Automobile Insurance Copmany Autonomous vehicle refueling
US11920938B2 (en) 2016-01-22 2024-03-05 Hyundai Motor Company Autonomous electric vehicle charging
US11348193B1 (en) 2016-01-22 2022-05-31 State Farm Mutual Automobile Insurance Company Component damage and salvage assessment
US11181930B1 (en) 2016-01-22 2021-11-23 State Farm Mutual Automobile Insurance Company Method and system for enhancing the functionality of a vehicle
US11189112B1 (en) 2016-01-22 2021-11-30 State Farm Mutual Automobile Insurance Company Autonomous vehicle sensor malfunction detection
US10802477B1 (en) 2016-01-22 2020-10-13 State Farm Mutual Automobile Insurance Company Virtual testing of autonomous environment control system
US10824145B1 (en) 2016-01-22 2020-11-03 State Farm Mutual Automobile Insurance Company Autonomous vehicle component maintenance and repair
US11242051B1 (en) 2016-01-22 2022-02-08 State Farm Mutual Automobile Insurance Company Autonomous vehicle action communications
US10395332B1 (en) 2016-01-22 2019-08-27 State Farm Mutual Automobile Insurance Company Coordinated autonomous vehicle automatic area scanning
US10386845B1 (en) 2016-01-22 2019-08-20 State Farm Mutual Automobile Insurance Company Autonomous vehicle parking
US11126184B1 (en) 2016-01-22 2021-09-21 State Farm Mutual Automobile Insurance Company Autonomous vehicle parking
US10818105B1 (en) 2016-01-22 2020-10-27 State Farm Mutual Automobile Insurance Company Sensor malfunction detection
US11600177B1 (en) 2016-01-22 2023-03-07 State Farm Mutual Automobile Insurance Company Autonomous vehicle application
US11440494B1 (en) 2016-01-22 2022-09-13 State Farm Mutual Automobile Insurance Company Detecting and responding to autonomous vehicle incidents
US10691126B1 (en) 2016-01-22 2020-06-23 State Farm Mutual Automobile Insurance Company Autonomous vehicle refueling
US10295363B1 (en) 2016-01-22 2019-05-21 State Farm Mutual Automobile Insurance Company Autonomous operation suitability assessment and mapping
US10453342B2 (en) * 2016-02-03 2019-10-22 Volkswagen Aktiengesellschaft Methods, devices, and computer programs for providing information about a dangerous situation on a vehicle-to-vehicle interface
US20190043358A1 (en) * 2016-02-03 2019-02-07 Volkswagen Aktiengesellschaft Methods, devices, and computer programs for providing information about a dangerous situation on a vehicle-to-vehicle interface
US11610493B1 (en) * 2016-03-22 2023-03-21 Amazon Technologies, Inc. Unmanned aerial vehicles utilized to collect updated travel related data for deliveries
US10388082B2 (en) * 2016-06-29 2019-08-20 Volkswagen Ag Method for spectrally efficient determination of collective environmental information for cooperative and/or autonomous driving
US20180005460A1 (en) * 2016-06-29 2018-01-04 Volkswagen Ag Method for spectrally efficient determination of collective environmental information for cooperative and/or autonomous driving
US10140838B2 (en) * 2017-03-21 2018-11-27 GM Global Technology Operations LLC Automatic transmission of reminders for devices left behind
US20180276974A1 (en) * 2017-03-21 2018-09-27 GM Global Technology Operations LLC Automatic transmission of reminders for devices left behind
US20180286244A1 (en) * 2017-03-31 2018-10-04 T-Mobile U.S.A., Inc. Managing communications between connected vehicles via a cellular network
WO2018183950A1 (en) * 2017-03-31 2018-10-04 T-Mobile Usa, Inc. Managing communications between connected vehicles via a cellular network
US10548184B2 (en) * 2017-03-31 2020-01-28 T-Mobile Usa, Inc. Managing communications for connected vehicles using a cellular network
US11240876B2 (en) * 2017-03-31 2022-02-01 T-Mobile Usa, Inc. Managing communications for connected vehicles using a cellular network
US10974718B2 (en) * 2017-03-31 2021-04-13 T-Mobile Usa, Inc. Managing communications between connected vehicles via a cellular network
US11690133B2 (en) 2017-03-31 2023-06-27 T-Mobile Usa, Inc. Managing communications for connected vehicles using a cellular network
US20180286245A1 (en) * 2017-03-31 2018-10-04 T-Mobile U.S.A., Inc. Managing communications for connected vehicles using a cellular network
US10571285B2 (en) * 2017-04-17 2020-02-25 Ford Global Technologies, Llc Vehicle route control
US20180299283A1 (en) * 2017-04-17 2018-10-18 Ford Global Technologies, Llc Vehicle Route Control
US10339810B2 (en) 2017-06-21 2019-07-02 International Business Machines Corporation Management of mobile objects
US10600322B2 (en) 2017-06-21 2020-03-24 International Business Machines Corporation Management of mobile objects
US10585180B2 (en) 2017-06-21 2020-03-10 International Business Machines Corporation Management of mobile objects
US11386785B2 (en) 2017-06-21 2022-07-12 International Business Machines Corporation Management of mobile objects
US10168424B1 (en) 2017-06-21 2019-01-01 International Business Machines Corporation Management of mobile objects
US11024161B2 (en) 2017-06-21 2021-06-01 International Business Machines Corporation Management of mobile objects
US10504368B2 (en) 2017-06-21 2019-12-10 International Business Machines Corporation Management of mobile objects
US10535266B2 (en) 2017-06-21 2020-01-14 International Business Machines Corporation Management of mobile objects
US10540895B2 (en) 2017-06-21 2020-01-21 International Business Machines Corporation Management of mobile objects
US10546488B2 (en) 2017-06-21 2020-01-28 International Business Machines Corporation Management of mobile objects
US11315428B2 (en) 2017-06-21 2022-04-26 International Business Machines Corporation Management of mobile objects
US11723579B2 (en) 2017-09-19 2023-08-15 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement
DE102017218091A1 (en) * 2017-10-11 2019-04-11 Bayerische Motoren Werke Aktiengesellschaft Method and device for updating traffic information
US11869360B2 (en) 2017-11-03 2024-01-09 International Business Machines Corporation Empathic autonomous vehicle
US11151883B2 (en) * 2017-11-03 2021-10-19 International Business Machines Corporation Empathic autonomous vehicle
US10498685B2 (en) * 2017-11-20 2019-12-03 Google Llc Systems, methods, and apparatus for controlling provisioning of notifications based on sources of the notifications
US11717686B2 (en) 2017-12-04 2023-08-08 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to facilitate learning and performance
US11318277B2 (en) 2017-12-31 2022-05-03 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to enhance emotional response
US11273283B2 (en) 2017-12-31 2022-03-15 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to enhance emotional response
US11478603B2 (en) 2017-12-31 2022-10-25 Neuroenhancement Lab, LLC Method and apparatus for neuroenhancement to enhance emotional response
US11893793B2 (en) 2018-03-28 2024-02-06 Gal Zuckerman Facilitating service actions using random imagery data captured by a plurality of on-road vehicles
US11206375B2 (en) 2018-03-28 2021-12-21 Gal Zuckerman Analyzing past events by utilizing imagery data captured by a plurality of on-road vehicles
US11364361B2 (en) 2018-04-20 2022-06-21 Neuroenhancement Lab, LLC System and method for inducing sleep by transplanting mental states
US11138418B2 (en) 2018-08-06 2021-10-05 Gal Zuckerman Systems and methods for tracking persons by utilizing imagery data captured by on-road vehicles
US10997853B2 (en) * 2018-08-10 2021-05-04 Honda Motor Co., Ltd. Control device and computer readable storage medium
US20200051427A1 (en) * 2018-08-10 2020-02-13 Honda Motor Co.,Ltd. Control device and computer readable storage medium
US11452839B2 (en) 2018-09-14 2022-09-27 Neuroenhancement Lab, LLC System and method of improving sleep
WO2020089039A1 (en) * 2018-10-29 2020-05-07 Robert Bosch Gmbh Method for the vehicle-based verification of at least one detected dangerous place
US11474518B2 (en) * 2019-05-13 2022-10-18 International Business Machines Corporation Event validation using multiple sources
US11669071B2 (en) 2020-01-08 2023-06-06 International Business Machines Corporation Organizing a temporary device group for collaborative computing
US20210225092A1 (en) * 2020-01-16 2021-07-22 Ford Global Technologies, Llc Method and apparatus for one to many vehicle broadcast handling
US20230045241A1 (en) * 2021-08-03 2023-02-09 GM Global Technology Operations LLC Remote observation and reporting of vehicle operating condition via v2x communication
US11875611B2 (en) * 2021-08-03 2024-01-16 GM Global Technology Operations LLC Remote observation and reporting of vehicle operating condition via V2X communication
DE102022206506A1 (en) 2022-06-28 2023-12-28 Volkswagen Aktiengesellschaft Method for setting up a virtual ad hoc network and central data processing device

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