CN114863709A

CN114863709A - Road data processing method, device, electronic equipment and storage medium

Info

Publication number: CN114863709A
Application number: CN202210454753.4A
Authority: CN
Inventors: 陈嘉莉
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2022-04-26
Filing date: 2022-04-26
Publication date: 2022-08-05

Abstract

The disclosure provides a road data processing method, relates to the technical field of artificial intelligence, and particularly relates to the technical field of automatic driving, auxiliary driving and edge calculation. The specific implementation scheme is as follows: in response to the received road data including indication information indicating a target event, determining an event duration corresponding to the target event according to target attribute information of the target event; and sending first information for changing the driving path according to the duration of the event. The present disclosure also provides a road data processing apparatus, an electronic device, and a storage medium.

Description

Road data processing method, device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of artificial intelligence, and more particularly to the field of automated driving, assisted driving, and edge computing. More specifically, the present disclosure provides a road data processing method, apparatus, electronic device, and storage medium.

Background

With the development of artificial intelligence technology, the artificial intelligence technology is widely applied to automatic driving or driving assistance scenes.

Disclosure of Invention

The present disclosure provides a road data processing method, apparatus, device, and storage medium.

According to an aspect of the present disclosure, there is provided a road data processing method, the method including: in response to the received road data including indication information indicating a target event, determining an event duration corresponding to the target event according to target attribute information of the target event; and sending first information for changing the driving path according to the duration of the event.

According to another aspect of the present disclosure, there is provided a road data processing apparatus including: the determining module is used for responding to the received road data including indication information indicating the target event, and determining the event duration corresponding to the target event according to the target attribute information of the target event; and the sending module is used for sending first information for changing the running path according to the duration of the event.

According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method provided in accordance with the present disclosure.

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform a method provided according to the present disclosure.

According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements a method provided according to the present disclosure.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is a schematic diagram of an exemplary system architecture to which a road data processing method and apparatus may be applied, according to one embodiment of the present disclosure;

FIG. 2 is a schematic diagram of an exemplary system architecture to which the road data processing method and apparatus may be applied, according to another embodiment of the present disclosure;

FIG. 3 is a flow diagram of a road data processing method according to one embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a road data processing method according to another embodiment of the present disclosure;

FIG. 5 is a flow diagram of determining a target event occurrence according to one embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a road data processing method according to one embodiment of the present disclosure;

FIG. 7 is a block diagram of a road data processing device according to one embodiment of the present disclosure; and

fig. 8 is a block diagram of an electronic device to which a road data processing method may be applied according to one embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of embodiments of the present disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

Events that occur on roads may include, for example, traffic accidents, road repairs, and road scattering events. For example, when the vehicle runs on a road, if a traffic accident occurs between vehicles, lane congestion can be caused, and even secondary traffic accidents can be caused, so that the life safety hazard is caused.

Fig. 1 is a schematic diagram of an exemplary system architecture to which a road data processing method and apparatus may be applied, according to one embodiment of the present disclosure.

It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 1, the system architecture 100 according to this embodiment may include

sensors

1101, 1102, 1103, a network 120, and a server 130. Network 120 is used to provide a medium for communication links between

sensors

1101, 1102, 1103 and server 130. Network 120 may include various connection types, such as wired and/or wireless communication links, and so forth.

The

sensors

1101, 1102, 1103 may interact with the server 130 over the network 120 to receive or send messages or the like.

The

sensors

1101, 1102, 1103 may be functional elements integrated on the vehicle 110, such as infrared sensors, ultrasonic sensors, millimeter wave radar, information acquisition devices, and the like. The

sensors

1101, 1102, 1103 may be used to collect status data of obstacles around the vehicle 110 as well as surrounding road data.

The vehicle 110 may communicate with a Road Side Unit (RSU) 140, receive information from the Road Side Unit 140, or transmit information to the Road Side Unit.

The roadside unit 140 may be disposed on a signal light, for example, to adjust the duration or frequency of the signal light.

The server 130 may be disposed at a remote end capable of establishing communication with the vehicle-mounted terminal, and may be implemented as a distributed server cluster formed by a plurality of servers, or may be implemented as a single server.

The server 130 may be a server that provides various services. For example, a map application, a data processing application, and the like may be installed on the server 130. Taking the server 130 running the data processing application as an example: the state data of the obstacle and the road data transmitted from the

sensors

1101, 1102, 1103 are received via the network 120. One or more of the state data of the obstacle and the road data may be used as the data to be processed. And processing the data to be processed to obtain target data.

It should be noted that the road data processing method provided by the embodiment of the present disclosure may be generally executed by the server 130. Accordingly, the road data processing device provided by the embodiment of the present disclosure may also be disposed in the server 130. But is not limited thereto. The road data processing method provided by the embodiments of the present disclosure may also be generally executed by the

sensors

1101, 1102, or 1103. Accordingly, the road data processing device provided by the embodiment of the present disclosure may also be disposed in the

sensor

1101, 1102 or 1103.

It should be understood that the number of sensors, networks, and servers in fig. 1 is merely illustrative. There may be any number of sensors, networks, and servers, as desired for implementation.

It should be noted that the sequence numbers of the respective operations in the following methods are merely used as representations of the operations for description, and should not be construed as representing the execution order of the respective operations. The method need not be performed in the exact order shown, unless explicitly stated.

Fig. 2 is a schematic diagram of an exemplary system architecture to which the road data processing method and apparatus may be applied, according to another embodiment of the present disclosure.

As shown in fig. 2, the system architecture includes a vehicle end 210 ', a cloud end 230 ', and a road side 240 '. It is to be appreciated that the vehicle end 210' may be deployed in the vehicle 110 described above, for example. Cloud 230' may be deployed, for example, on server 130 as described above. Roadside end 240' may be disposed on roadside unit 140, for example, as described above.

Vehicle end 210' includes a pose positioning device 211, a vehicle sensing device 212, a network device 213, and a communication device 214.

The pose positioning device 211 may include a positioning module 2111 and a navigation module 2112. The location module 2111 may obtain location information of the vehicle, such as geographic coordinates. The Navigation module 2112 may determine the attitude of the vehicle based on Inertial Navigation System (INS) technology.

The in-vehicle sensing device 212 may include a camera module 2121 and a radar module 2122. The camera module 2121 may include at least 6 cameras. The 6 cameras are respectively arranged at the front, the left front, the right rear, the left rear and the right rear of the vehicle. The camera module 2121 may determine whether a target event (e.g., a rear-end collision event) occurs according to an image acquired by the camera. The radar module 2122 may include at least 6 vehicle-mounted radars. The 6 vehicle-mounted radars are respectively deployed at the front, the front left, the front right, the rear left, and the rear right of the vehicle. The radar module 2122 may determine whether a target event (e.g., a rear-end collision event) has occurred based on data acquired by the radar. The radar module can more accurately determine whether the target event occurs in the environment with low visibility such as rainy days and foggy days.

The network device 213 includes a wireless module 2131. The wireless module 2131 may be based on, for example, 5 th generation mobile communication technology (The 5) ^th Generation Mobile Communication Technology, 5G), the information is transmitted.

The communication device 214 may include a publish module 2141, a receive module 2142, and a display module 2143. The publishing module 2141 may publish information, the receiving module 2142 may receive information, and the displaying module 2143 may display information.

The roadside end 240' includes a signal control device 241, a perception device 242, a network device 243, and a communication device 244.

The signal control device 241 may include a control module 2411 and a signal light module 2412. The control module 2411 may obtain the information sent by the cloud, so as to adjust the frequency or duration of the signal lights through the signal light module 2412.

The perception device 242 may include an image acquisition module 2421 and an audio acquisition module 2422. The image acquisition module 2421 may determine whether a target event (e.g., a rear-end collision event) occurs according to an image acquired by a camera disposed on the signal lamp. The audio collection module 2422 may determine whether a target event (e.g., a rear-end collision event) occurs according to audio data acquired by a device such as a microphone disposed on a signal lamp. In addition, the perception device 242 may also be used to determine whether a target event is over (e.g., whether a vehicle associated with a rear-end event is moved out of a lane, or whether congestion due to a rear-end event is eliminated).

Network device 243 includes a wireless module 2431. The wireless module 2431 may transmit information based on, for example, 5 th generation mobile communication technology. For example, information transmitted by the wireless module 2131 may be received.

Communication device 244 may include a publishing module 2441 and a receiving module 2442. The publishing module 2441 may publish information and the receiving module 2442 may receive information.

The cloud 230' includes an event processing device 231, a traffic flow analysis device 232, a path planning device 233, and a communication device 234.

The event processing device 231 may start a flow of processing the target event according to the instruction information instructing the target event. The indication may be determined by the in-vehicle sensing device 212 and/or the sensing device 242.

The traffic flow analysis device 232 may determine traffic flow information at least according to the video data uploaded at the roadside end, and transmit the traffic flow information to the vehicle end or the roadside end, so that the vehicle end or the roadside end determines whether a target event occurs.

After the process of processing the target event is initiated, the path planning apparatus 233 may determine a travel path so that other vehicles may avoid the vehicle associated with the target event.

The communication device 234 may include a publishing module 2341 and a receiving module 2342. The publishing module 2341 may publish information and the receiving module 2342 may receive information. For example, the publishing module 2341 may send the travel path to other roadside ends, so that the signal control devices of the other roadside ends adjust the duration or frequency of the signal lights according to the travel path. For another example, the publish module 2341 may send the travel path to the vehicle ends of other vehicles so that the other vehicles may avoid the vehicle associated with the rear-end event.

In some embodiments, the vehicle sensing device 212 and the sensing device 242 described above may determine or verify whether the target event occurs based on an Edge Computing (MEC) technology.

Fig. 3 is a flowchart of a road data processing method according to one embodiment of the present disclosure.

As shown in fig. 3, the method 300 may include operations S310 to S320.

In operation S310, in response to the received road data including indication information indicating the target event, an event duration corresponding to the target event is determined according to the target attribute information of the target event.

For example, the target event may be an event such as a traffic accident, road maintenance, and road scattering.

For example, the target attribute information may be determined based on various information of the target event, for example.

For example, from the target attribute information, the type of the target event may be determined.

For example, the event duration may be, for example, an event resolution duration or a duration of time for which the road is clear again.

In one example, the target event may be a rear-end collision event. To resolve a rear-end collision, for example, 30 minutes is required. The event duration may be determined to be 30 minutes.

In operation S320, first information for modifying the travel path is transmitted according to the event duration.

For example, in the case where the event duration is 30 minutes, the first information may be transmitted to a vehicle or a pedestrian that passes through the target position where the target event occurs within 30 minutes. In addition, the first information may also be sent to a roadside unit near the target position so that the roadside unit adjusts the signal exhibited by the signal lamp so that a vehicle or a pedestrian passing through the target position within 30 minutes changes the travel path.

Through the embodiment of the disclosure, the duration of the event is determined according to the type of the event, and the vehicle or the pedestrian running on the road can be more accurately shunted. The occurrence of secondary accidents is avoided, and the driving safety is improved.

In some embodiments, determining, from the target attribute information of the target event, an event duration corresponding to the target event comprises: determining target attribute information according to at least one of geographical position information, road level information, time information, event object information, event range information and event type information of a target event; matching the target attribute information with a plurality of preset attribute information, wherein the preset attribute information corresponds to the duration of an event; and determining the event duration corresponding to the target event according to the preset attribute information matched with the target attribute information.

In some embodiments, the preset attribute information is determined according to at least one of geographical location information, road level information, time information, event object information, event range information, and event type information of the preset event.

For example, attribute information of a preset event may be taken as the preset attribute information. The preset event may be, for example, an event that has occurred.

For example, the geographic location information may indicate a city or administrative area where the event occurred. The length of time required to resolve an event varies from city to city.

For example, the road level information may indicate a road level. The road class may be, for example, an express way, a main road, a secondary road, a branch road, and the like.

For example, the time information may indicate a period of time during which the event occurred. The time period during which the event occurs may be, for example, a night time period, an early peak time period, a flat time period, a late peak time period, and the like.

For example, the event object information may indicate one or more event objects related to the event. The event object may be, for example, a vehicle, a pedestrian, an obstacle, or the like. Vehicles may include, for example, automotive vehicles and non-automotive vehicles. The obstacles may include, for example, guardrails, road spills, and the like.

In one example, the event object information may indicate that the event occurred between a motor vehicle and a motor vehicle, between a non-motor vehicle and a non-motor vehicle, between a motor vehicle and a pedestrian, between a non-motor vehicle and a pedestrian, between a motor vehicle and an obstacle, or between a non-motor vehicle and an obstacle, for example.

In one example, the event object information may also indicate that the occurrence of an event is related to an object. For example, in the case of an anchored vehicle, the occurrence of an event may be associated with one vehicle.

For example, event scope information may indicate a scope of the event impact. The range of event impact may include, for example, single lane, dual lane, multi-lane, and the like.

For example, the event type information may indicate an event type. The event types may include, for example, a straight-ahead event, a rear-end event, a left-turn event, a right-turn event, a narrow lane event, a curve event, a ramp event, and so forth. In one example, a straight-ahead event may be caused by a motor vehicle running a red light, for example.

For example, a plurality of preset attribute information may be determined according to a plurality of preset events. In one example, preset event 1 occurs on yexx on YY month 1. The preset attribute information Info _1 of the preset event 1 may include, for example: in the early peak period, the rear-end collision between the motor vehicles on the main road in city A occurs, and the influence range is double lanes. The duration of the event corresponding to the preset attribute information Info _1 may be, for example, 20 minutes.

For example, the target event occurred in XX year on day 11 of YY. The target attribute information Info _ T of the target event may include, for example: in the late peak period, the rear-end collision between the motor vehicles on the main road in the city A occurs, and the influence range is double lanes. In one example, the target attribute information Info _ T is matched with the preset attribute information Info _1 of the plurality of preset attribute information with the highest degree. The event duration corresponding to the preset attribute information Info _1 may be taken as the event duration corresponding to the target event.

In some embodiments, whether the target event occurred is verified based on first multimodal data relating to a target location at which the target event occurred, the first multimodal data being obtained upon receipt of second information characterizing the target event occurrence. As will be described in detail below with reference to fig. 4.

Fig. 4 is a schematic diagram of a road data processing method according to another embodiment of the present disclosure.

As shown in fig. 4, the vehicle end may perform operations S401 to S403. For a detailed description of the vehicle end, reference may be made to the vehicle end 210' described above, and the disclosure is not repeated herein. .

In operation S401, object data is acquired.

For example, the object may be a vehicle on which a vehicle end is deployed, for example. The object data can be obtained through the attitude determination positioning equipment and the vehicle-mounted sensing equipment at the vehicle end.

In operation S402, it is determined whether a target event occurs.

For example, whether a target event occurs or not can be determined according to position information, second multi-modal data or radar data and the like acquired by the attitude determination positioning device and the vehicle-mounted sensing device on the vehicle end. The second multimodal data may be, for example, image or audio data captured by an in-vehicle sensing device.

For example, in response to determining that the target event occurs, operation S403 may be performed.

For another example, in response to determining that the target event has not occurred, operation S401 may be returned to.

In operation S403, second information is transmitted.

For example, second information characterizing the occurrence of the target event may be sent to the roadside end described above.

The roadside terminal may perform operations S404 to S407 in response to receiving the second information. The roadside end may be disposed, for example, on a signal light near the target location. For a detailed description of the roadside end, reference may be made to the roadside end 240' described above, and the detailed description of the disclosure is omitted here. The target location may be, for example, a location where a target event occurred.

In operation S404, first multimodal data is acquired.

For example, the first multimodal data is related to a target location where a target event occurred.

For example, the first multimodal data may be acquired by the perception device described above. The first multimodal data may include, for example, images captured by a camera disposed on a signal light, audio data captured by a microphone or the like disposed on the signal light, and the like.

In operation S405, it is verified whether a target event has occurred?

For example, whether a target event occurs can be determined again based on the acquired first multimodal data to avoid false alarms.

For another example, in response to determining that the target event occurs, operation S406 is performed.

For another example, in response to determining that the target event does not occur, operation S407 is performed, ending the flow.

In operation S406, indication information is transmitted.

For example, the indication information may indicate the target event, so that the cloud performs operations S410 to S420.

In operation S410, an event duration corresponding to the target event is determined according to the target attribute information of the target event.

In operation S420, first information for modifying the travel path is transmitted according to the event duration.

It is understood that operations 410 through S420 are the same as or similar to operations S310 and S320 in the method 300, and the disclosure is not repeated herein.

In some embodiments, the second information is sent upon determining that the target event occurred; whether the target event occurs is determined according to second multi-modal data and radar data of the event object, wherein the second multi-modal data and the radar data are acquired under the condition that the posture of the event object is determined to be a preset posture; whether the posture of the event object is a preset posture is determined under the condition that the waiting event is determined not to occur; whether the waiting event occurs is determined according to the signal received by the event object, and whether the waiting event occurs is determined under the condition that the road congestion event is determined not to occur; whether the road congestion event occurs is determined according to the traffic information corresponding to the event object, and whether the road congestion event occurs is determined under the condition that the static time length of the event object is greater than or equal to a preset static time length threshold value. As will be described in detail below with reference to fig. 5.

FIG. 5 is a flow diagram of determining a target event occurrence according to one embodiment of the present disclosure.

As shown in fig. 5, the method 502 may determine whether a target event occurs, which will be described in detail with reference to operations S50201 to S50211.

In operation S50201, a resting duration is acquired.

For example, the stationary period may be a time when the vehicle stops running. As another example, the time at which the vehicle is stationary at the same geographic coordinate is determined as the stationary duration by the location module described above.

In operation S50202, it is determined whether the still time period is greater than or equal to a preset still time period threshold.

For example, the preset still time threshold may be, for example, 1 minute.

In the embodiment of the present disclosure, in response to determining that the still time period is greater than or equal to the preset still time period threshold, operation S50203 is performed.

In the embodiment of the present disclosure, in response to determining that the static duration is less than the preset static duration threshold, operation S50201 is returned to, and the static duration is continuously acquired.

In operation S50203, it is determined whether a road congestion event occurs.

For example, as described above, the traffic flow analysis device in the cloud may determine traffic flow information, and the vehicle end may obtain the traffic flow information to determine whether a road congestion event occurs. In one example, a road congestion event may be considered to occur if the traffic information indicates that the number of vehicles on the current road is greater than a preset traffic threshold.

In the present disclosed embodiment, in response to determining that the road congestion event occurs, operation S50208 is performed in the present disclosed embodiment, in response to determining that the road congestion event does not occur, operation S50204 is performed.

In operation S50204, it is determined whether a waiting event occurs.

For example, an image of the front of the vehicle may be captured by a camera module at the vehicle end to determine the signal currently displayed by the signal light. In one example, if the signal exhibited by the signal light is a red light, it may be determined that a wait event occurred.

In the disclosed embodiment, in response to determining that the wait event occurs, operation S50208 is performed

In the embodiment of the present disclosure, in response to determining that the waiting event does not occur, operation S50205 is performed.

In operation S50205, it is determined whether the posture is a preset posture.

For example, the preset gesture may include an abnormal gesture, for example. The abnormal posture may include, for example, vehicle rollover, or the like.

For example, the attitude of the vehicle may be determined using the navigation module described above.

In the present disclosed embodiment, in response to determining that the gesture is the preset gesture, operation S50206 is performed. In the disclosed embodiment, in response to determining that the gesture is not the preset gesture, performing operation S50208 in operation S50206 determines whether a collision event has occurred.

For example, whether a collision event has occurred may be determined from the images captured by the camera modules described above. For example, using a trained image processing model, the similarity of the image to a preset image is determined to determine whether a collision event has occurred. The preset images may be acquired, for example, at the time of a historical crash event.

In the disclosed embodiment, in response to determining that a collision event occurs, operation S50207 is performed.

In the disclosed embodiment, in response to determining that a collision event has not occurred, performing operation S50208 determines whether a target event has occurred in operation S50207.

For example, whether a target event has occurred may be determined based on radar data collected by the radar module above.

In the disclosed embodiment, in response to determining that the target event occurs, operation S50210 is performed.

In the disclosed embodiment, in response to determining that the target event has not occurred, operation S50208 is performed.

In operation S50208, the input information is acquired.

For example, a request to obtain the entered information may be issued. The request may be presented in the form of text. The text may be, for example, "whether an accident occurred".

In operation S50209, it is determined whether the input information indicates that a target event occurs.

In the disclosed embodiment, in response to determining that the input information indicates that the target event occurs, operation S50210 is performed.

In the embodiment of the present disclosure, in response to determining that the input information indicates that the target event does not occur, operation S50211 is performed.

In operation S50210, second information is transmitted.

For example, the second information may be transmitted to a roadside end near the vehicle end, so that the roadside end verifies whether the target event occurs.

In operation S50211, the flow ends.

In some embodiments, the first information includes a first sub-information, and transmitting the first information for changing the travel path according to the event duration includes: determining a first object passing through a target position where a target event occurs within a period corresponding to an event duration as a first target object; and sending the first sub-information to the first target object.

For example, the first object may be a vehicle or a pedestrian, for example. In one example, the vehicle may have deployed thereon the vehicle end described above. In one example, a pedestrian may hold a mobile terminal. The mobile terminal may be a device having the same or similar functions as the car body terminal. For a detailed description of the mobile terminal, reference may be made to the vehicle end 210' described above, and the disclosure is not repeated herein.

In some embodiments, the first information includes second sub-information, and transmitting the first information for changing the travel path according to the event duration includes: determining a second object within a preset range of the target position as a second target object according to the target position of the target event; and sending the second sub information to the second target object, so that the second target object performs at least one of the following operations according to the second target sub information: changing the signal lamp time length and changing the signal lamp frequency.

For example, the second object may be a roadside unit disposed on a signal light. The roadside unit may have disposed thereon the roadside ends described above.

This will be described in detail below with reference to fig. 6.

Fig. 6 is a schematic diagram of a road data processing method according to one embodiment of the present disclosure.

As shown in fig. 6, lane 601 may be, for example, a right turn lane and lane 602 may be, for example, a straight lane. Intersection 610 is an intersection located near lane 601 and lane 602. The intersection 610 is formed by road intersections. Intersection 610 is deployed with signal light 631, signal light 632, signal light 633, and signal light 634. The signal lamp may be disposed with the roadside end described above.

The vehicle 621 traveling on the lane 601 is rear-ended by the vehicle 622 traveling on the lane 602, resulting in the occurrence of the target event. The event type information of the target event may indicate that the event is a rear-end collision event, and the event range information may indicate that the influence range is a dual lane.

For example, the vehicle end deployed on vehicle 622 may determine whether a target event has occurred. After determining that the target event occurs, the vehicle-side end disposed on the vehicle 622 transmits second information indicating that the target event occurs to the roadside end. In one example, the second information may be sent to a roadside end closest to the target location. In this embodiment, the roadside end may be disposed in a roadside unit of the signal lamp 631.

The roadside terminal may verify whether the target event occurs using a camera module disposed on the signal lamp in response to receiving the second information. In this embodiment, the target event may be determined to occur via route-side end verification. The roadside terminal generates indication information indicating the target event as a part of the road data transmitted to the cloud.

The cloud end responds to the received road data and comprises indication information indicating the target event, and obtains the geographic position information, the road level information, the time information, the event object information, the event range information and the event type information of the target event so as to determine the target attribute information of the target event. The target attribute information may be, for example, the target information Info _ T described above. As described above, the target attribute information Info _ T may be, for example: at the late peak, the rear-end collision between the motor vehicles on the main road in the city A occurs, and the influence range is double lanes.

And matching the target attribute information Info _ T with a plurality of preset attribute information. For example, the matching degree of the target attribute information Info _ T and the preset attribute information Info _1 of the plurality of preset attribute information is the highest upon matching. An event duration (e.g., 20 minutes) corresponding to the preset attribute information Info _1 is taken as an event duration corresponding to the target event.

For example, the time at which the target event occurs may be, for example, 18: 00. the time period corresponding to the duration of the event may be, for example, 18:00 to 18: 20. The first object passing through the target position where the target event occurs within the period is taken as the first target object.

As shown in fig. 6, the first object may include a vehicle 623 and a vehicle 624. Vehicle 623 is traveling in lane 603 and vehicle 624 is traveling in lane 604. The lane 603 may be, for example, a straight lane and the lane 604 may be, for example, a left turn lane. The vehicle 623 may be the first target object. The first sub-message is sent to the vehicle 623 so that the vehicle 623 changes the travel path, for example, changes lane to the lane 604, does not enter the lane 602, and avoids the target position.

For another example, a predetermined range may be determined with the target position as the center and the predetermined length as the radius. And taking a second object within the predetermined range as a second target object.

As shown in fig. 6, the second object may include signal lamps 631 to 634. If the signal lights 631 to 634 are all within the predetermined range, the signal lights 631 to 634 may be all the second target objects.

The second sub-information is sent to the roadside units disposed on the signal lights 631 to 634 to change the signal light time length and the signal light frequency. In one example, the duration and frequency of the signal lights 631 may be adjusted such that there are fewer vehicles traveling in the lane 603 and fewer vehicles passing through the intersection 610 and entering the lane 602. In one example, the duration and frequency of the signal lights 632 may be adjusted such that vehicles traveling in the lane 605 are reduced. In one example, the duration and frequency of the signal lights 633 may be adjusted such that the number of vehicles traveling in the lane 606 is reduced.

Fig. 7 is a block diagram of a road data processing device according to one embodiment of the present disclosure.

As shown in fig. 7, the apparatus 700 may include a determination module 710 and a transmission module 720.

The determining module 710 is configured to, in response to the received road data including indication information indicating a target event, determine an event duration corresponding to the target event according to target attribute information of the target event.

A sending module 720, configured to send first information for changing the travel path according to the event duration.

In some embodiments, the determining module comprises: a first determining unit, configured to determine the target attribute information according to at least one of geographic position information, road level information, time information, event object information, event range information, and event type information of the target event; the matching unit is used for matching the target attribute information with a plurality of preset attribute information, wherein the preset attribute information corresponds to the duration of an event; and the second determining unit is used for determining the event duration corresponding to the target event according to the preset attribute information matched with the target attribute information.

In some embodiments, the preset attribute information is determined according to at least one of geographical location information, road level information, time information, event object information, event range information, and event type information of a preset event.

In some embodiments, the first information includes first sub information, and the transmitting module includes: a third determination unit configured to determine, as a first target object, a first object that passes through a target position where the target event occurs within a period corresponding to the event duration; and a first sending unit, configured to send the first sub information to the first target object.

In some embodiments, the first information includes second sub-information, and the transmitting module includes: a fourth determination unit, configured to determine, as a second target object, a second object that is within a predetermined range of the target position according to the target position where the target event occurs; and a second sending unit, configured to send the second sub information to the second target object, so that the second target object performs at least one of the following operations according to the second target sub information: changing the signal lamp time length and changing the signal lamp frequency.

In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

FIG. 8 illustrates a schematic block diagram of an example electronic device 800 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 8, the apparatus 800 includes a computing unit 801 which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)802 or a computer program loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In the RAM803, various programs and data required for the operation of the device 800 can also be stored. The calculation unit 801, the ROM802, and the RAM803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

A number of components in the device 800 are connected to the I/O interface 805, including: an input unit 806, such as a keyboard, a mouse, or the like; an output unit 807 such as various types of displays, speakers, and the like; a storage unit 808, such as a magnetic disk, optical disk, or the like; and a communication unit 809 such as a network card, modem, wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

Computing unit 801 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and the like. The calculation unit 801 executes the respective methods and processes described above, such as the road data processing method. For example, in some embodiments, the road data processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program can be loaded and/or installed onto device 800 via ROM802 and/or communications unit 809. When the computer program is loaded into the RAM803 and executed by the computing unit 801, one or more steps of the road data processing method described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the road data processing method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program code, when executed by the processor or controller, causes the functions/acts specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A road data processing method, comprising:

in response to the fact that received road data comprise indication information indicating a target event, determining an event duration corresponding to the target event according to target attribute information of the target event; and

and sending first information for changing a driving path according to the duration of the event.

2. The method of claim 1, wherein the determining an event duration corresponding to the target event according to the target attribute information of the target event comprises:

determining the target attribute information according to at least one of geographical position information, road level information, time information, event object information, event range information and event type information of the target event;

matching the target attribute information with a plurality of preset attribute information, wherein the preset attribute information corresponds to the duration of an event; and

and determining the event duration corresponding to the target event according to the preset attribute information matched with the target attribute information.

3. The method of claim 2, wherein the preset attribute information is determined according to at least one of geographical location information, road level information, time information, event object information, event range information, and event type information of a preset event.

4. The method of claim 1, wherein the first information comprises first sub information,

the sending of the first information for changing the travel path according to the event duration includes:

determining a first object passing through a target position where the target event occurs within a period corresponding to the event duration as a first target object; and

and sending the first sub information to the first target object.

5. The method of claim 1, wherein the first information comprises second sub information,

determining a second object within a preset range of the target position as a second target object according to the target position of the target event; and

sending the second sub information to the second target object, so that the second target object performs at least one of the following operations according to the second target sub information: changing the signal lamp time length and changing the signal lamp frequency.

6. A road data processing apparatus comprising:

the determining module is used for responding to the received road data including indication information indicating a target event, and determining the event duration corresponding to the target event according to the target attribute information of the target event; and

and the sending module is used for sending first information for changing the running path according to the duration of the event.

7. The apparatus of claim 6, wherein the means for determining comprises:

a first determining unit, configured to determine the target attribute information according to at least one of geographic position information, road level information, time information, event object information, event range information, and event type information of the target event;

the matching unit is used for matching the target attribute information with a plurality of preset attribute information, wherein the preset attribute information corresponds to the duration of an event; and

and the second determining unit is used for determining the event duration corresponding to the target event according to the preset attribute information matched with the target attribute information.

8. The apparatus of claim 7, wherein the preset attribute information is determined according to at least one of geographical location information, road level information, time information, event object information, event range information, and event type information of a preset event.

9. The apparatus of claim 6, wherein the first information comprises first sub information,

the sending module comprises:

a third determination unit configured to determine, as a first target object, a first object that passes through a target position where the target event occurs within a period corresponding to the event duration; and

and the first sending unit is used for sending the first sub information to the first target object.

10. The apparatus of claim 6, wherein the first information comprises second sub-information,

the sending module comprises:

a fourth determination unit, configured to determine, as a second target object, a second object that is within a predetermined range of the target position according to the target position where the target event occurs; and

a second sending unit, configured to send the second sub information to the second target object, so that the second target object performs at least one of the following operations according to the second target sub information: changing the signal lamp time length and changing the signal lamp frequency.

11. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 5.

12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1 to 5.

13. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.