WO2014145918A1 - Vehicle platooning systems and methods - Google Patents

Vehicle platooning systems and methods Download PDF

Info

Publication number
WO2014145918A1
WO2014145918A1 PCT/US2014/030770 US2014030770W WO2014145918A1 WO 2014145918 A1 WO2014145918 A1 WO 2014145918A1 US 2014030770 W US2014030770 W US 2014030770W WO 2014145918 A1 WO2014145918 A1 WO 2014145918A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
vehicles
linking
truck
driver
Prior art date
Application number
PCT/US2014/030770
Other languages
French (fr)
Other versions
WO2014145918A9 (en
Inventor
Joshua P. SWITKES
Joseph Christian GERDES
David Frederick Lyons
Stephen Norris BOYD
Eugene Berdichevsky
Original Assignee
Peloton Technology, 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
Priority to CA2907452A priority Critical patent/CA2907452A1/en
Priority to US14/855,044 priority patent/US9645579B2/en
Application filed by Peloton Technology, Inc. filed Critical Peloton Technology, Inc.
Publication of WO2014145918A1 publication Critical patent/WO2014145918A1/en
Publication of WO2014145918A9 publication Critical patent/WO2014145918A9/en
Priority to US15/589,124 priority patent/US10481614B2/en
Priority to US15/860,024 priority patent/US10234871B2/en
Priority to US15/926,809 priority patent/US20180210463A1/en
Priority to US15/926,813 priority patent/US10474166B2/en
Priority to US15/926,805 priority patent/US11294396B2/en
Priority to US15/936,271 priority patent/US10514706B2/en
Priority to US15/988,905 priority patent/US10216195B2/en
Priority to US16/247,239 priority patent/US11106220B2/en
Priority to US16/427,853 priority patent/US20190346863A1/en
Priority to US16/427,846 priority patent/US11614752B2/en
Priority to US16/427,832 priority patent/US20190346861A1/en
Priority to US16/427,888 priority patent/US20190346864A1/en
Priority to US16/675,579 priority patent/US11360485B2/en
Priority to US17/461,741 priority patent/US11835965B2/en
Priority to US17/713,192 priority patent/US12050474B2/en
Priority to US17/839,464 priority patent/US12124271B2/en
Priority to US18/126,975 priority patent/US20240077887A1/en
Priority to US18/383,967 priority patent/US20240319729A1/en

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291Fleet control
    • G05D1/0293Convoy travelling
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00Conjoint control of vehicle sub-units of different type or different function
    • B60W10/04Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00Conjoint control of vehicle sub-units of different type or different function
    • B60W10/20Conjoint control of vehicle sub-units of different type or different function including control of steering systems
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/14Adaptive cruise control
    • B60W30/16Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
    • B60W30/165Automatically following the path of a preceding lead vehicle, e.g. "electronic tow-bar"
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0217Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with energy consumption, time reduction or distance reduction criteria
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291Fleet control
    • G05D1/0295Fleet control by at least one leading vehicle of the fleet
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/22Platooning, i.e. convoy of communicating vehicles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2530/00Input parameters relating to vehicle conditions or values, not covered by groups B60W2510/00 or B60W2520/00
    • B60W2530/209Fuel quantity remaining in tank
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00Input parameters relating to infrastructure
    • B60W2552/15Road slope, i.e. the inclination of a road segment in the longitudinal direction
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00Input parameters relating to infrastructure
    • B60W2552/30Road curve radius
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00Input parameters relating to objects
    • B60W2554/40Dynamic objects, e.g. animals, windblown objects
    • B60W2554/402Type
    • B60W2554/4029Pedestrians
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00Input parameters relating to objects
    • B60W2554/80Spatial relation or speed relative to objects
    • B60W2554/801Lateral distance
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2555/00Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
    • B60W2555/20Ambient conditions, e.g. wind or rain
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00Output or target parameters relating to a particular sub-units
    • B60W2710/18Braking system
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2710/00Output or target parameters relating to a particular sub-units
    • B60W2710/20Steering systems
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2720/00Output or target parameters relating to overall vehicle dynamics
    • B60W2720/10Longitudinal speed
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/005Moving wireless networks

Definitions

  • This application relates generally to safety and fuel savings systems for vehicles, and more particularly relates to systems and methods for enabling at least a second vehicle to follow, safely, a first vehicle at a close distance, where a plurality of safety features can be used singly or in combination.
  • other aspects of the invention provide analytics useful for assessing driver performance and determining cost savings.
  • the present invention relates to systems and methods for enabling vehicles to closely follow one another safely through partial automation. Following closely behind another vehicle has significant fuel savings benefits, but is generally unsafe when done manually by the driver. On the opposite end of the spectrum, fully autonomous solutions require inordinate amounts of technology, and a level of robustness that is currently not cost effective.
  • Some safety systems try to actively prevent accidents, by braking the vehicle automatically (without driver input), or assisting the driver in braking the vehicle, to avoid a collision. These systems generally add zero convenience, and are only used in emergency situations, but they are able to fully control the longitudinal motion of the vehicle.
  • Manual control by a driver is lacking in capability compared to even the current systems, in several ways.
  • a manual driver cannot safely maintain a close following distance. In fact, the types of distance to get any measurable gain results in an unsafe condition, risking a costly and destructive accident.
  • the manual driver is not as reliable at maintaining a constant headway as an automated system.
  • a manual driver when trying to maintain a constant headway, generally causes rapid and large changes in command (accelerator pedal position for example) which result in a loss of efficiency.
  • the system and methods which form the invention described herein combines attributes of state of the art convenience, safety systems and manual control to provide a safe, efficient convoying, or platooning, solution.
  • the present invention achieves this objective by combining elements of active vehicle monitoring and control with communication techniques that permit drivers of both lead and trailing vehicles to have a clear understanding of their motoring environment, including a variety of visual displays, while offering increased convenience to the drivers together with the features and functionality of a manually controlled vehicle.
  • systems and methods for a Semi-Autonomous Vehicular Convoying are provided.
  • the systems and methods of the present invention provide for: 1 ) a close following distance to save significant fuel; 2) safety in the event of emergency maneuvers by the leading vehicle; 3) safety in the event of component failures in the system; 4) an efficient mechanism for vehicles to find a partner vehicle to follow or be followed by; 5) an intelligent ordering of the vehicles based on several criteria; 6) other fuel economy optimizations made possible by the close following; 7) control algorithms to ensure smooth, comfortable, precise maintenance of the following distance; 8) robust failsafe mechanical hardware; 9) robust failsafe electronics and communication; 10) other communication between the vehicles for the benefit of the driver; 1 1 ) prevention of other types of accidents unrelated to the close following mode; and, 12) a simpler embodiment to enable a vehicle to serve as a lead vehicle without the full system.
  • Figure 1 shows the airflow around a heavy truck, in accordance with some embodiments.
  • Figure 2 shows US transportation fuel use.
  • Figure 3A shows typical fleet expenses for a heavy truck fleet.
  • Figure 3B shows typical heavy truck fuel use from aerodynamic drag.
  • Figure 4 shows typical fuel savings for a set of linked trucks.
  • Figure 5 shows fuel savings versus following distance gap for a set of heavy trucks.
  • Figure 6A shows an example of long range coordination between two trucks in accordance with one embodiment of the present invention.
  • Figure 6B illustrates the geofencing capability of the present invention.
  • Figures 7A-7C show an example of short range linking between two trucks, from available to linking to linked.
  • Figure 8A illustrates exemplary long range communications between trucks.
  • Figure 8B illustrates a variety of factors that a central server might consider in determining candidates for linking.
  • Figure 9A illustrates an embodiment of short range
  • Figure 9B illustrates the communications links which provide the short range communications of Figure 9A.
  • Figure 10 illustrates the establishment of a linked pair as the result of the short range communications between trucks.
  • Figures 1 1 A shows an exemplary installation of system components for one embodiment of the invention.
  • Figure 1 1 B shows an embodiment in which the view from a forward looking camera in a lead truck is displayed to the driver of a following truck.
  • Figure 12 illustrates, in simplified block diagram form, an embodiment of a vehicular convoying control system in accordance with the present invention.
  • Figure 13 illustrates, in greater detail than Figure 12, the components of the control system which cooperate with the control processor of Figure 12.
  • Figure 14 shows exemplary components for a simplified version of the embodiment of Figure 12, suitable for a lead vehicle.
  • Figures 15A-B show, in flow diagram form, an embodiment of a process for coordination and linking in accordance with the invention, including consideration of factors specific to the vehicles.
  • Figures 16A-B show some additional safety features for some embodiments.
  • Figure 17 shows one exemplary embodiment of aerodynamic optimization for use with convoying vehicles.
  • Figure 18 illustrates additional safety features provided by an embodiment of the present invention, and particularly warnings and alerts.
  • Figure 19 illustrates a brake test safety feature provided by an embodiment of the invention.
  • Figures 20A-B illustrate in block diagram form an aspect of some embodiments of the invention for providing a variety of metrics for assessing truck and driver performance, and for routing appropriate information to the driver and the fleet manager.
  • the present invention relates to systems and methods for a Semi-Autonomous Vehicular Convoying.
  • a Semi-Autonomous Vehicular Convoying Such a system enables vehicles to follow closely behind each other, in a convenient, safe manner.
  • the exemplary vehicles referred to in the following description will, in general, be large trucks, but those skilled in the art will appreciate that many, if not all, of the features described herein also apply to many other types of vehicles.
  • Figure 1 shows the airflow around a typical truck 100, illustrating both the relatively laminar airflow along the truck's roof and sides and the substantially turbulent flow at the rear of the truck.
  • a vehicle's aerodynamic smoothness related to the truck's frontal area and shape, affect total drag.
  • the system of the present invention is aimed at reducing the drag caused by this type of airflow. This drag is responsible for the majority of fuel used in transportation, especially in the Heavy Truck sector (see Figure 2).
  • the expense of this fuel is significant for all private and industrial vehicle users, but especially so for heavy truck fleets, where the fuel is about 40% of operating expenses (see Figure 3A).
  • Embodiments of the present invention enable vehicles to follow closely together and to achieve significant fuel savings, both for the lead and the trailing vehicles, as illustrated in Figure 4 where two heavy trucks are shown following closely.
  • Figure 5 shows the fuel savings possible for heavy trucks at various gaps.
  • a key part of the functionality of one such embodiment is long range coordination between the vehicles, which, in an embodiment, is managed from a central location, but, alternatively, can be initiated and managed by the truck drivers. As shown in Figure 6A, this serves to allow vehicles 410 and 420 to find linking partners, where information concerning each truck such as shown at 615 and 625, is available to, for example, the central location. In an embodiment, unique indicia, such as a serial number, is associated with each vehicle available for linking.
  • the unique indicia can, in an embodiment, be unique among all vehicles that are potentially available for linking, whether or not available at a specific time and location; or, in an alternative embodiment, the indicia can be temporarily assigned, for example as part of the process of identifying and selecting candidates for linking, and can be unique only among vehicles that are candidates for linking at a particular time and location.
  • the permanent or temporarily unique indicia can be assigned not only to vehicles available for linking, but to all vehicles proximate to vehicles having the system of the present invention, such that each such "neighboring" vehicle is monitored for movements that might require an evasive maneuver or other safety-related action. Such an arrangement provides improved situational awareness, and the movements of such other vehicles can be recorded for safety and liability purposes.
  • rear or side view cameras, lidar or radar can provide improved detection and monitoring of neighboring vehicles.
  • the system has some knowledge of the location and/or destination of the self-vehicle and of other equipped vehicles on the road. The system can thus suggest nearby vehicles with which to link. Numerous other factors can also be taken into account before selecting trucks to link, as discussed hereinafter at least in connection with Figures 15A-C.
  • the factors discussed in connection with Figures 15A-15C become relevant, the trucks must be traveling, or available to be coordinated to travel, on the same route, in an area where linking will provide the desired fuel savings and safety benefits.
  • the two trucks are traveling on a stretch of major highway, both going the same direction, and neither is already linked. This provides, at least initially, some motivation to link the two trucks.
  • Problem areas, where linking is disabled can result from, among other things, a grade or a downgrade, a city, lack of a divided highway or other adverse roadway characteristics, weather, military installations, RF or microwave interference, or, in some cases, low overpasses.
  • the central location can simply provide different routing for trucks too tall to clear.
  • an embodiment of the present invention can apply brakes or otherwise generate a warning, as discussed in greater detail hereinafter in connection with Figure 18.
  • the trucks are brought generally proximate to one another through the
  • Figures 8A-8B show the technology to enable such a system: in Figure 8A, a long range communication system 880 and a central server 890 provide a communication link to each of trucks 410 and 420.
  • the server 890 and/or the system onboard each vehicle 410, 420 makes decisions and suggestions based on knowledge of one or more of vehicle location, destination, load, weather, traffic conditions, vehicle type, trailer type, recent history of linking, fuel price, driver history, and other factors, all as shown at 830A-n.
  • the driver is notified via driver display 840, discussed in great detail in Figures 1 1 A-B. At that point, the driver can manually adjust the vehicle speed to reduce the distance between the vehicles, or the system can automatically adjust the speed.
  • the central server or on-board systems will conclude that the pair is not suitable for linking, and linking is disabled as shown at 850.
  • linking opportunities can also be determined while the vehicle is stationary, such as at a truck stop, rest stop, weigh station, warehouse, depot, etc. They can also be calculated ahead of time by the fleet manager or other associated personnel. They may be scheduled at time of departure, or hours or days ahead of time, or may be found ad-hoc while on the road, with or without the assistance of the coordination functionality of the system. In addition, linking of vehicles within a yard is also possible, and can improve traffic flow while reducing emissions even as vehicles operate at low speed.
  • This cost function could have any of the factors listed above.
  • the two vehicles or drivers can manually adjust their speed, or it can be automatic. If manual, the system may suggest to the lead driver to slow down, and to the follower to speed up. Or if the leader is stationary (at a truck stop, rest stop, etc.), it may suggest that he delay his departure the appropriate amount of time. These suggestions may be based on vehicle speed, destination, driver history, or other factors. If the system automatically controls the speed, it may operate the truck in a Cruise Control or Adaptive Cruise Control type mode, with the speed chosen to bring the two vehicles closer together. The system may also operate in a semi-automatic mode, where it limits the speed of the leading vehicle, to bring them closer together.
  • each of trucks 410 and 420 has an on-board control processor 900 and associated communications interface 905.
  • each vehicle senses various characteristics of vehicle performance, such as speed, relative distance to the other truck, braking application and/or pressure, engine or drivetrain torque, system faults, and other characteristics, and those characteristics are communicated as appropriate to the other control processor.
  • the control processor in the lead truck takes control of the rear vehicle 420 and controls it to a close following distance behind the front vehicle 410.
  • control processor in the lead truck communicates its status to the control processor in the trailing truck, and vice versa, to cause the trucks to move into close proximity to one another while each remains under the control of its on-board control processor.
  • communications more critical to safety can be given prior over other types of communication among the vehicles. For example, brake application data or commands can be given priority over video transmission.
  • one of the drivers may use an input to the system, which input can be by means of a touch sensitive display with a graphical user interface (GUI), for example, to activate this transition.
  • GUI graphical user interface
  • key technology to allow this linking comprises primarily a distance/relative speed sensor, and a communication link.
  • the type of functionality of this link is shown in Figure 10, where information about a braking event is sent from the front vehicle 410 to the rear vehicle 420.
  • Other information may include accelerometer data (filtered or unfiltered), brake pressure, tire pressure, information about obstacles or other vehicles in front of the lead truck.
  • any of the above data may be passed from the front truck 410 to the rear truck 420 that relates to trucks in front of the pair (for example, to allow safe platoons of three or more trucks.)
  • the system controls the engine torque and braking, with no driver intervention required.
  • the driver is still steering the vehicle; in others, autonomous steering can be used.
  • the linking event can comprise a smooth transition to the close distance following.
  • This may take the form of a smooth target trajectory, with functionality in a controller that tries to follow this trajectory.
  • the change in gap per time is smallest at the beginning and the end of the transition, and largest in the middle, providing a smooth response.
  • Other possible forms of this equation include exponentials, quadratics or higher powers, hyperbolic trigonometric functions, or a linear change. This shape can also be calculated dynamically, changing while the maneuver is performed based on changing conditions or other inputs.
  • the driver can deactivate the system in several ways.
  • Application of the brake pedal can restore conventional manual control, or can trigger a mode where the driver's braking is simply added to the system's braking. Applying the accelerator pedal can also deactivate the system, returning to a manual mode.
  • Other driver inputs that can trigger a system deactivation include: Turn signal application, steering inputs larger or faster than a threshold, clutch pedal application, a gear change, Jake (compression) brake application, trailer brake application, ignition key-off, and others.
  • the driver can also deactivate the system by selecting an option on the GUI screen or other input device.
  • the system may react in one of several safe ways.
  • the trailing truck will reduce engine torque and/or start braking to ensure a safe gap is maintained. This braking may continue until the trailing truck has come to a complete stop, or it may continue only until a nominally safe distance is achieved (safe without automated control), or it may continue only until the malfunction has been identified. Additionally, one of several alerts may be used to notify the driver of the malfunction and subsequent action of the control system: A braking jerk, consisting of a small braking command, an audible tone, a seat vibration, a display on the GUI or other display, flashing the instrument cluster or other interior lights, increasing or decreasing engine torque momentarily, activation of the "Jake” (compression) brake, or other useful alerts.
  • a braking jerk consisting of a small braking command, an audible tone, a seat vibration, a display on the GUI or other display, flashing the instrument cluster or other interior lights, increasing or decreasing engine torque momentarily, activation of the "Jake” (compression) brake, or other useful alerts
  • the system may have some or all of the following components shown in Figure 1 1 A: an accelerator pedal interceptor 1140, either on the communications and control bus found in most modern trucks, or sensed and modified as a range or set of analog voltages, to be used to command torque from the engine in a manner which resembles a highly refined cruise control; a modified brake valve 1150, which allows the system to command braking even in the absence of driver command; a forward-looking RADAR or LIDAR unit 1 130 which senses distance to and relative speed with respect to the vehicle in front 410; a user interface 1120, which may also house a forward looking camera, by which the driver can interact with and control the system; an antenna array 1110, used for the short and long range communication systems; and a GPS receiver, which can be a precision GPS, differential GPS, or other GNSS device.
  • an accelerator pedal interceptor 1140 either on the communications and control bus found in most modern trucks, or sensed and modified as a range or set of analog voltages, to be used to command torque from the engine in
  • Figure 1 1 B shows, at 1 160, the view seen by the driver of the trailing truck in a linked pair: the driver sees mostly the back of the lead truck, as well as some space to each side of the lead truck.
  • a display 1 170 of the forward-looking camera 1 120 in the lead truck is provided to the driver of the trailing truck, thus providing the driver of the trailing truck an unobstructed view of what is ahead of the linked pair of trucks. This permits the driver of the second truck to operate the trailing vehicle with the same knowledge of the road ahead as the lead vehicle, including observing unexpected developments, hazards, traffic, etc.
  • the display 1 170 can be visor or dash mounted, or in any other convenient location, and can also comprise a touch screen user interface, as discussed in greater detail in connection with Figure 12.
  • Figure 12 shows the system architecture for one embodiment 1200.
  • the user 1210 interacts with the system through a user interface, which may be a Graphical User Interface 1220, and which is typically, although not necessarily, integrated with a control processor 1230.
  • a user interface which may be a Graphical User Interface 1220, and which is typically, although not necessarily, integrated with a control processor 1230.
  • the user interface can comprise an additional electronics unit, such as a tablet-style computer which can be mounted in any convenient location, such as the dash or the visor.
  • a tablet-style computer typically include graphical user interfaces, although such an interface is not necessary and any convenient interface will do.
  • Such tablets often also include a cellular modem, thus permitting long range communications and coordination, as well as a GPS.
  • these features can be provided separately.
  • the user interface 1220 is a tablet with such features, including a graphical user interface and touch screen.
  • a smartphone can be substituted for the tablet.
  • the processing capability required by the system of Figure 12 can be provided by the tablet or smartphone.
  • such tablets or smartphones can serve as the core controller, the user interface panel, or can provide some or all of the vehicle-to-vehicle link through either cellular connectivity, Bluetooth, WiFi, or other suitable connection.
  • Such devices can also be connected to the rest of the system, such as a CAN or J1939 bus, or vehicle ECU'S.
  • the user 1210 receives information (a) from visual and or auditory alerts, and can make system requests (e.g., for linking or
  • the user interface 1220 communicates with a long range data link 1240 (b), such as through a cellular modem or other service.
  • the user interface 1220 is responsible for managing this data link, sending data via the link, and receiving data via the link.
  • a control processor 1230 (which may be alternatively integrated with the GUI box) receives sensor information 1250 (c), short range data link 1260 information (e), and controls the actuators 1270 (f). It receives information from the user interface 1220 via a wired or wireless link (d), and sends information to the user interface 1220 to be relayed to the driver and/or long range communication link 1240.
  • the long range communication link 1240 can connect directly to the control box 1230.
  • the user interface 1220 may be an extremely simple (low cost) device, or may even be eliminated from the system entirely.
  • Figure 13A shows one embodiment of a vehicle control unit 1300 in accordance with the present invention while Figure 13B shows in process flow form the exchange of information between the vehicle control units 1300 of both the lead and trailing trucks.
  • the unit 1300 comprises at least one control processor 1230, which communicates with various core sensors such as radar/lidar 1310, accelerometers 1320, data links 1360, and also
  • connection (a) typically but not necessarily a CAN interface
  • the control processor 1230 configures the radar unit 1310 and receives data.
  • Connection (b) to accelerometers 1320 which can be wireless, gives the control box acceleration information in 1 , 2 or 3 axes as well as rotation rate information about 1 , 2 or 3 axes.
  • gyros can be substituted for accelerometers, especially for, for example, rotation rate.
  • the data link 1360 shown at (c) and illustrated in greater detail below as indicated by the dashed lines, provides information about relevant characteristics of the leading truck 410, including its acceleration, or is used to provide the same or similar information to a following truck 420.
  • the brake valve 1340 (d) provides data on brake pressure, and is used to apply pressure via a command from the control processor 1230.
  • the accelerator command 1390 is sent via an analog voltage or a communications signal (CAN or otherwise).
  • the control processor performs calculations to process the sensor information, information from the GUI, and any other data sources, and determine the correct set of actuator commands to attain the current goal (example: maintaining a constant following distance to the preceding vehicle).
  • the data links 1360 can comprise a link to the truck manufacturer's engine control unit 1370, a wireless link 1375 for communications and a link to other aspects of the vehicle as shown at 1365. Each of these links can, depending upon the embodiment, be bidirectional.
  • FIG. 13B shows, for an embodiment, the general flow between the vehicle control units 1300 of two linked vehicles.
  • Two modes of operation are possible: in a first mode, the front truck's control unit 1300 issues commands to the back truck's control unit, and those commands are, in general, followed, but can be ignored in appropriate circumstances, such as safety.
  • the front truck's control unit sends data to the second truck, advising the trailing truck of the data sensed by the lead truck and the actions being taken by the lead truck. The second truck's control unit then operates on that data from the front truck to take appropriate action.
  • the following or trailing truck sends data about its operation to the front or lead truck.
  • the lead truck receives the data from the trailing truck, and senses motion and/or external objects and/or communication inputs. The lead truck then decides upon actions for the lead truck, shown at 1325, and, if operating in the first mode, also decides upon actions for the back truck, shown at 1330. Then, depending upon whether operating in first or second mode, the lead truck either sends commands (1335) to the trailing truck (first mode), or sends data (1345) to the trailing truck (second mode). If operating in the first mode, the second truck receives the commands and performs them at 1350, with the caveat that the second truck can also chose to ignore such commands in some embodiments.
  • the second truck receives the data at 1355, and decides what actions to perform. Because the control programs for both units 1300 are the same, in most cases the resulting control of the second truck will be identical regardless of operating mode. Finally, the second truck communicates to the front truck what actions it has taken, so that each truck knows the state of the other. In at least some embodiments, this process is repeated substantially continually to ensure that each truck has the current state of the other truck, thus ensuring safe and predictable operation of each truck, even when operating in close-order formation at highway speeds.
  • Figure 15A shows one embodiment of the coordination and linking functionality.
  • the system identifies a vehicle available for coordination 1510 (example: within a certain range, depending on the route of the two vehicles). Once one of the vehicles has accepted 1522 or 1524, the other can then accept, meaning that the pair has agreed to coordinate for possible linking 1530. Depending on vehicle positioning, weight of load, vehicle equipment, and other factors, a vehicle within linking range may be identified as a Following Vehicle Available for Linking 1542 or a Leading Vehicle Available for Linking 1544. If neither of these is the case, the system returns to coordination mode. Once a Following Vehicle Available for Coordination has Accepted the link 1552, the Self Vehicle then also accepts the link 1553, initiating the link.
  • the vehicles Upon completion of the link, the vehicles are now linked 1562. Similarly, once a Leading Vehicle Available for Coordination has Accepted the link 1554, the Self Vehicle then also accepts the link 1555, initiating the link. Upon completion of the link, the vehicles are now linked 1564.
  • Figure 15B illustrates an embodiment of a process by which the vehicle mass of the truck is taken into account to determine whether a particular truck pair is suitable for linking and, if so, which truck should lead, and at what gap.
  • engine torque and acceleration are sensed at 1576. Because, in at least some embodiments, the vehicle control unit 1300 knows a variety of details about the truck on which the system is installed (including either torque, engine speed, and acceleration, or power and acceleration) the engine torque and acceleration permits vehicle mass to be calculated, shown at 1578. Based upon that calculation for each truck in the pair, the trucks are determined either to be suitable for linking, or not. If they are suitable for linking, shown at 1580, a determination as to which truck should lead is made at 1582, using the factors mentioned above.
  • the characteristics of the truck may cause the control units 1300 of the respective trucks to adjust the gap between the trucks, or the algorithm by which distance is adjusted with speed, as shown at 1584.
  • Other operating characteristics that can, depending upon the embodiment, influence the adjustment of distance can include type of brakes installed, recent brake use, time/distance since maintenance, tire life, type of tires, and temperature.
  • the distance can be increased to provide visibility to the rear driver. Additionally for an upcoming exit the rear truck or both trucks can be set to coast to avoid braking at the off-ramp.
  • the following distance can also be adjusted based on other upcoming features of the road or greater environment, to ensure safety, make the driver more comfortable, or for other reasons.
  • Dangerous low overpasses, inspection stations, road grade, or areas identified as dangerous can all be used to adjust the following distance.
  • These features can be identified from map data, internet data, or other source.
  • Other features can be detected by either or both trucks, either from their on-board sensors, or from the sensors added for the system. These include upcoming road curvature, current or upcoming road grade. Current or upcoming traffic can also be identified through radar sensors, the internet, machine vision, or other methods. In some
  • the following distance can also be set based on driver activity.
  • a lack of steering input can signify inattention and cause an increase in following distance.
  • aggressive behavior shown by aggressive motion of the steering wheel, pedals or other input, can be used to set a desired distance.
  • the turn signal can also change the distance, for example to allow space between the vehicles for exiting the road.
  • the driver can also select the following distance in some embodiments.
  • the current fuel economy, the amount of fuel onboard, the projected range, or other fuel- related parameters may be used to set the following distance. For example the driver may want to follow more closely when the fuel level is low, to help reach a destination.
  • the fleet or the driver may have a target fuel economy, and the adjustment of following distance can be used to meet this target, within limits appropriate to ensuring safety.
  • This link may send some or all of the following: Brake application pressure, brake air supply reservoir pressure, engine torque, engine RPM, compression (Jake) brake application, accelerator pedal position, engine manifold pressure, computed delivered torque, vehicle speed, system faults, battery voltage, vehicle acceleration, driver inputs, diagnostic information, braking system condition, and radar/lidar data.
  • the data link 1260 has very low latency (approximately 10ms in one embodiment), and high reliability. This could be, but is not limited to, WiFi, DSRC (802.1 1 p), radio modem, Zigbee, or other industry standard format. This link could also be a non-industry-standard format. In the event of a data link loss, the trailing vehicles are typically instructed to immediately start slowing, to ensure that if the front vehicle happens to brake immediately when the link is lost, the gap can be maintained safely.
  • the system should be safe in the event of failure of components of the system.
  • the trailing vehicles 420 start braking, until the driver takes control or other sensors determine that the situation is safe at which point braking can be decreased as appropriate. This ensures that, in the worst case where the front vehicle 410 starts to brake immediately when a system component fails, the system is still safe.
  • the modified brake valve 1340 is also designed such that in the event of a complete failure, the driver can still brake the vehicle.
  • the system arranges the vehicles on the road to ensure safety. This order may be determined by vehicle weight/load, weather/road conditions, fuel savings or linking time accrued, braking technology on the vehicle, destination or other factors. In such an embodiment, the system will (graphically or otherwise) tell the drivers which vehicle should be in the front. For example, to mitigate fatigue, the system may cause the trucks to exchange positions on a periodic basis. In embodiments where order is important, such as heavy trucks, the system will only perform the linking functionality if the vehicles are in the correct order. The order may be determined by relative positioning measures like GPS, directional detection of the wireless communication, driver input, visual (video or still image) processing, or direct or indirect detection of aerodynamics through fuel savings or sensors. In another embodiment, the system can apply steering or other lateral control, combined with control of engine torque and braking, if needed, to effectuate the desired order of the vehicles.
  • Figure 16A shows some additional safety features the system may have to prevent other types of accidents unrelated to the close following mode.
  • One such feature is to use the video stream from the front looking camera to detect drifting within or out of the lane. This is done by looking at the edges or important features on the leading vehicle 410, and calculating the lateral offset from that vehicle. When it is detected, the system can react with a braking jerk (a short braking application to get the driver's attention), slowing down, or a braking jerk in the leading vehicle.
  • a set of registration marks 1605 can be provided on a display for the driver of the trailing rig, to permit optimum longitudinal registration between the vehicles.
  • portions of the video that are not important, or change less frequently can be highly compressed or not transmitted at all.
  • the back of the lead vehicle does not change significantly, and is not critical.
  • the compression can be varied based on known or commanded movement of the vehicles. For example if it is known that the vehicles have relative motion laterally, then the image can be shifted laterally in an efficient way without sending the raw video.
  • the system can also use the front mounted radar to detect obstacles or stationary vehicles in the road, even when not in close-following mode. When these are detected, it can apply a braking jerk, slow the vehicle, or provide visual or auditory warnings.
  • the system can also use the accelerator pedal signal to determine when the driver is not engaged with the vehicle (or other driver states) and react accordingly, such as slowing the vehicle or disabling the system. These and other warnings and alerts are discussed hereinafter in connection with Figure 18.
  • a simpler version of the system enables vehicles to be a leading vehicle, shown in Figure 14. The
  • this version is a subset of those on the full system, so there is no automation. There are several embodiments of this reduced set of functionality, with different subsets of the components from the full system.
  • One minimal system simply performs two functions: Transmits sufficient data to the trailing vehicle to allow close following, and alerts the front driver to a linking request and allows him/her to accept or decline it.
  • this version has only the data link functionality 1460. It connects to the brake pressure sensor and electrical power.
  • This system may also have additional components, including an accelerometer 1450 and/or an extremely simply user interface and/or long range data communication 1440.
  • the full system may also provide other fuel economy
  • grade-based cruise control where the speed set-point is determined in part by the grade angle of the road and the upcoming road.
  • the system can also set the speed of the vehicles to attain a specific fuel economy, given constraints on arrival time. Displaying the optimum transmission gear for the driver 1410 can also provide fuel economy benefits.
  • the system may also suggest an optimal lateral positioning of the trucks, to increase the fuel savings. For example, with a cross wind, it may be preferable to have a slight offset between the trucks, such that the trailing truck is not aligned perfectly behind the leading truck.
  • This lateral position may be some combination of a relative position to the surrounding truck(s) or other vehicles, position within the lane, and global position. This lateral position may be indicated by the registration marks 1605.
  • the data link between the two vehicles is critical to safety, so the safety critical data on this link has priority over any other data.
  • the link can be separated into a safety layer (top priority) and a convenience layer (lower priority).
  • the critical priority data is that which is used to actively control the trailing vehicle. Examples of this may include acceleration information, braking information, system activation/deactivation, system faults, range or relative speed, or other data streams related to vehicle control.
  • the selection of which data is high priority may also be determined, in whole or in part, by the data being sent and/or received. For example in an emergency braking situation, additional data may be included as high priority.
  • the lower priority convenience portion of the link can be used to provide data, voice or video to the drivers to increase their pleasure of driving. This can include social interaction with the other drivers, or video from the front vehicle's camera to provide a view of the road ahead.
  • This link can also be used when the vehicle is stationary to output diagnostic information gathered while the vehicle was driving.
  • other cameras, and thus other views can be provided, including providing the driver of the lead truck with a view from the forward-looking camera on the trailing rig, or providing both drivers with sufficient camera views from around each vehicle that all blind spots are eliminated for each driver.
  • the system includes an "allow to merge" button to be used when the driver wants another vehicle to be able to merge in between the two vehicles.
  • the button triggers an increase in the vehicle gap to a normal following distance, followed by an automatic resumption of the close following distance once the merging vehicle has left.
  • the length of this gap may be determined by the speed of the vehicles, the current gap, an identification of the vehicle that wishes to merge, the road type, and other factors.
  • the transition to and from this gap may have a smooth shape similar to that used for the original linking event.
  • the system can estimate the mass of the vehicle to take into account changes in load from cargo.
  • the mass is also used to help determine the order of the vehicles on the road.
  • the system may also include the capability to have passenger cars or light trucks following heavy trucks.
  • This capability may be built in at the factory to the passenger cars and light trucks, or could be a subset of the components and functionality described here, e.g., as an aftermarket product.
  • the system may also include an aerodynamic design optimized for the purpose of convoying, as shown in Figure 17.
  • This may be the design of the tractor or trailer, or the design of add-on aerodynamic aids that optimize the airflow for the convoy mode.
  • This design may correspond to a specific speed, at which the airflow will be optimized for the convoy mode.
  • a hood may deploy, e.g., slide forward, from the roof of the follower vehicle. Portions of the hood may be textured (like an aerodynamic golf ball surface) or may be transparent so as not to further obscure the follower driver's view.
  • the existing aerodynamic cone of a follower truck may be repositioned, and/or the cone profile dynamically reconfigured, depending on vehicular speed and weather conditions. This aerodynamic addition or modification may be on the top, bottom, sides, front, or back of the trailer or tractor, or a combination thereof.
  • This aerodynamic design may be to specifically function as a lead vehicle 1710, specifically as a following vehicle 1720, or an optimized combination of the two. It may also be adjustable in some way, either automatically or manually, to convert between optimized configurations to be a lead vehicle, a following vehicle, both, or to be optimized for solitary travel.
  • the data link between the two vehicles may be accomplished in one of several ways, including, but not limited to: A standard patch antenna, a fixed directional antenna, a steerable phased-array antenna, an under- tractor antenna, an optical link from the tractor, an optical link using one or more brake lights as sender or receiver, or others.
  • a standard patch antenna a fixed directional antenna
  • a steerable phased-array antenna an under- tractor antenna
  • an optical link from the tractor an optical link using one or more brake lights as sender or receiver, or others.
  • Multiple antennas can be used in such embodiments, by, for example using one antenna on each side mirror of the vehicle, such that one of these antennas is usually in line of sight to an antenna on the other vehicle.
  • the selection between the available antennas can be done based on detected signal strength, for example.
  • the optimal antenna can be predicted through knowledge of the motion of the vehicles, the
  • the placement of antennas on the vehicle may be chosen specifically for platooning. For example if the predetermined distance between the vehicles is known to be twenty feet, the antenna placement may be chosen to ensure that line of sight is maintained at a twenty foot spacing. It is also possible to command, through the vehicle control unit, that the vehicles maintain a line of sight. Such an approach can be combined with other factors, for example sidewind, to determine an overall optical relative position between the vehicles.
  • the phase lock loop in the communications module can be fed the commanded motion of one or more vehicles, to help predict the Doppler shift.
  • the data link, or other components of the system may be able to activate the brake lights, in the presence or absence of brake pedal or brake application.
  • supplemental visual aids for drivers of follower vehicles including optical devices such as mirrors and periscopes, to enable follower drivers to get a better forward-looking view which is partially obscured by the lead vehicle.
  • any portion of the above-described components included in the system may be in the cab, in the trailer, in each trailer of a multi-trailer configuration, or a combination of these locations.
  • the components may be provided as an add-on system to an existing truck, or some or all of them may be included from the factory. Some of the components may also be from existing systems already installed in the truck from the factory or as an aftermarket system.
  • the present invention is also intended to be applicable to current and future vehicular types and power sources.
  • the present invention is suitable for 2-wheeler, 3-wheelers, 4 wheelers, 6 wheelers, 16-wheelers, gas powered, diesel powered, two-stroke, four-stroke, turbine, electric, hybrid, and any combinations thereof.
  • the present invention is also consistent with many innovative vehicular technologies such as hands- free user interfaces including head-up displays, speech recognition and speech synthesis, regenerative braking and multiple-axle steering.
  • the system may also be combined with other vehicle control systems such as Electronic Stability Control, Parking Assistance, Blind Spot Detection, Adaptive Cruise Control, Traffic Jam Assistance, Navigation, Grade-Aware Cruise Control, Automated Emergency Braking, Pedestrain detection, Rollover-Control, Anti-Jacknife control, Anti-Lock braking, Traction Control, Lane Departure Warning, Lanekeeping Assistance, Sidewind compensation. It may also be combined with predictive engine control, using the command from the system to optimize future engine inputs. With reference to Figure 18, an embodiment by which such warnings and alerts are generated in accordance with the invention can be better appreciated.
  • vehicle control systems such as Electronic Stability Control, Parking Assistance, Blind Spot Detection, Adaptive Cruise Control, Traffic Jam Assistance, Navigation, Grade-Aware Cruise Control, Automated Emergency Braking, Pedestrain detection, Rollover-Control, Anti-Jacknife control, Anti-Lock braking, Traction Control, Lane Departure Warning, Lanekeeping Assistance, Sidewind compensation. It may also be combined with predictive engine control, using
  • a warning and alert processor 1800 which can either be integrated with the control processor 1230 or be a separate processor, receives inputs from the vehicle sensors 1805, as well as the short range communication link 1810, and various driver sensors 1815 including, for example, a sobriety sensor. In addition, the processor 1800 receives input concerning the location on the road, any applicable grade, and the state of the vehicle, as shown at 1820. If an unacceptable condition exists, the processor 1800 either causes an alert 1825, which can take the form of sound, vibration, a visual display, or some other signal intended to be immediately noticed by the driver, or the processor causes an action 1830, such as braking and/or reduction in engine torque.
  • Figure 19 illustrates yet another safety feature implemented in some embodiments of the invention.
  • Braking is a key safety feature for trucks operating either in linked mode or independently.
  • the ability to determine brake condition while underway is of significant value, and can be
  • the vehicle control unit 1300 samples the input from the vehicle sensor to (1 ) detect deceleration, shown at 1905; (2) detect wheel slip(s), shown at 1910; and, (3) detect brake air pressure, shown at 1915. Based on the collective data, brake condition is calculated at 1920. The result of the calculation can be displayed to the driver or the fleet manager (through the long range communication link), and can provide a warning or alert if the brake condition is abnormal. Additionally, if the truck is available for linking, the result of the calculation at step 1920 can be used to choose whether to link as part of a particular pair, shown at 1925. If a link is to be made, the calculation can be used to determine which truck of the pair should lead, 1930, or to adjust the gap or algorithm, 1935.
  • FIG. 20A-B an embodiment for collecting data about the operation of a particular truck, and a fleet as a whole, can be better appreciated.
  • a variety of measured data 2000A-n including vehicle speed, fuel consumption, historical data, braking information, gear
  • the server or other processor 2010 calculates a selection of metrics including miles per gallon, driver efficiency, savings, time linked, availability of linkings, and numerous variations. From these, selected metrics can be displayed to the driver, 2020, or the fleet manager 2030, or can be used to provide driver incentives, 2040.
  • An exemplary display 2050 for the driver is illustrated in Figure 20B, particularly by showing the savings per mile achieved by the driver.
  • Data from the vehicles can provide specific information on best practices for a variety of aspects of driving.
  • the data must be aggregated to form a database of best practice. This can take the form of an average (or median) of data traces, or can be calculated based on a weighted cost function. In one algorithm, higher fuel economy traces are weighted more heavily, and a weighted average is then calculated for each control input. In another, the drive is separated into segments and the single best drive for each of those segments is identified. Other considerations can also be factors, for example mechanical considerations such as engine
  • This database of best practices may also be a function of truck and conditions. In one embodiment, there is a separate best practice for each model of truck. Once this best practices data is created, it can be applied to a wide variety of control inputs. These include gear selection, speed selection, route selection. It can include the specific means to attain each of these selections, including pedal application, transmission retarder activation, compression Qake) brake application. These optimized control inputs can then be communicated to either the driver or an automated system, or a combination thereof. If to an automated system, these can be used to adjust the target speed, or shifting selection or other parameters of the automation system.
  • various optimal inputs can also be suggested to the driver by displaying them on the visual display or other device.
  • current inputs can be overlayed with calculated best inputs.
  • We can also show the potential improvement, for example showing the current miles per gallon and the anticipated miles per gallon if the suggested choices are implemented.
  • the collected data can also be shown after the drive itself, either to the fleet manager, the driver, or other interested parties. This can also be used to adjust various aspects of the fleet operation, such as which driver drives in which location, which truck is used for each route, or dispatch times.
  • the present invention provides systems and methods for a Semi-Autonomous Vehicular Convoying.
  • the advantages of such a system include the ability to follow closely together in a safe, efficient, convenient manner.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Traffic Control Systems (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
  • Business, Economics & Management (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Game Theory and Decision Science (AREA)

Abstract

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking, in a convenient, safe manner and thus to save significant amounts of fuel while increasing safety. In an embodiment, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration/deceleration, and speed. Additional safety features in at least some embodiments include providing each driver with one or more visual displays of forward and rearward looking cameras. Long-range communications are provided for coordinating vehicles for linking, and for communicating analytics to fleet managers or others.

Description

VEHICLE PLATOONING SYSTEMS AND METHODS CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a conversion of U.S. patent application S.N. 61/792,304, filed March 15, 2013, and further is a continuation-in-part of S.N. 13/542,622, filed July 5, 2012, which in turn is a conversion of Provisional Application S. No. 61 /505,076, filed on July 6, 201 1 , both entitled " Systems and Methods for Semi-Autonomous Vehicular Convoying". Further, this application is a continuation-in-part of S.N. 13/542,627, filed July 5, 2012, which in turn is also a conversion of S.N. 61/505,076, filed July 6, 201 1 .
Applicant claims the benefit of priority of each of the foregoing applications, all of which are incorporated herein by reference.
FIELD OF THE INVENTION
[0002] This application relates generally to safety and fuel savings systems for vehicles, and more particularly relates to systems and methods for enabling at least a second vehicle to follow, safely, a first vehicle at a close distance, where a plurality of safety features can be used singly or in combination. In addition, other aspects of the invention provide analytics useful for assessing driver performance and determining cost savings.
BACKGROUND
[0003] The present invention relates to systems and methods for enabling vehicles to closely follow one another safely through partial automation. Following closely behind another vehicle has significant fuel savings benefits, but is generally unsafe when done manually by the driver. On the opposite end of the spectrum, fully autonomous solutions require inordinate amounts of technology, and a level of robustness that is currently not cost effective.
[0004] Currently the longitudinal motion of vehicles is controlled during normal driving either manually or by convenience systems, and, during rare emergencies, it may be controlled by active safety systems. [0005] Convenience systems, such as adaptive cruise control, control the speed of the vehicle to make it more pleasurable or relaxing for the driver, by partially automating the driving task. These systems use range sensors and vehicle sensors to then control the speed to maintain a constant headway to the leading vehicle. In general these systems provide zero added safety, and do not have full control authority over the vehicle (in terms of being able to fully brake or accelerate) but they do make the driving task easier, which is welcomed by the driver.
[0006] Some safety systems try to actively prevent accidents, by braking the vehicle automatically (without driver input), or assisting the driver in braking the vehicle, to avoid a collision. These systems generally add zero convenience, and are only used in emergency situations, but they are able to fully control the longitudinal motion of the vehicle.
[0007] Manual control by a driver is lacking in capability compared to even the current systems, in several ways. First, a manual driver cannot safely maintain a close following distance. In fact, the types of distance to get any measurable gain results in an unsafe condition, risking a costly and destructive accident. Second, the manual driver is not as reliable at maintaining a constant headway as an automated system. Third, a manual driver, when trying to maintain a constant headway, generally causes rapid and large changes in command (accelerator pedal position for example) which result in a loss of efficiency.
[0008] It is therefore apparent that an urgent need exists for reliable and economical Semi-Autonomous Vehicular Convoying. These improved Semi-Autonomous Vehicular Convoying Systems enable vehicles to follow closely together in a safe, efficient, convenient manner.
SUMMARY
[0009] The system and methods which form the invention described herein combines attributes of state of the art convenience, safety systems and manual control to provide a safe, efficient convoying, or platooning, solution. The present invention achieves this objective by combining elements of active vehicle monitoring and control with communication techniques that permit drivers of both lead and trailing vehicles to have a clear understanding of their motoring environment, including a variety of visual displays, while offering increased convenience to the drivers together with the features and functionality of a manually controlled vehicle.
[0010] To achieve the foregoing and in accordance with the present invention, systems and methods for a Semi-Autonomous Vehicular Convoying are provided. In particular the systems and methods of the present invention provide for: 1 ) a close following distance to save significant fuel; 2) safety in the event of emergency maneuvers by the leading vehicle; 3) safety in the event of component failures in the system; 4) an efficient mechanism for vehicles to find a partner vehicle to follow or be followed by; 5) an intelligent ordering of the vehicles based on several criteria; 6) other fuel economy optimizations made possible by the close following; 7) control algorithms to ensure smooth, comfortable, precise maintenance of the following distance; 8) robust failsafe mechanical hardware; 9) robust failsafe electronics and communication; 10) other communication between the vehicles for the benefit of the driver; 1 1 ) prevention of other types of accidents unrelated to the close following mode; and, 12) a simpler embodiment to enable a vehicle to serve as a lead vehicle without the full system.
[0011] It will be appreciated by those skilled in the art that the various features of the present invention described herein can be practiced alone or in combination. These and other features of the present invention will be described in more detail below in the detailed description of the invention and in conjunction with the following figures.
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] In order that the present invention may be more clearly ascertained, some embodiments will now be described, by way of illustration, with reference to the accompanying drawings, in which:
[0013] Figure 1 shows the airflow around a heavy truck, in accordance with some embodiments.
[0014] Figure 2 shows US transportation fuel use.
[0015] Figure 3A shows typical fleet expenses for a heavy truck fleet.
[0016] Figure 3B shows typical heavy truck fuel use from aerodynamic drag.
[0017] Figure 4 shows typical fuel savings for a set of linked trucks.
[0018] Figure 5 shows fuel savings versus following distance gap for a set of heavy trucks.
[0019] Figure 6A shows an example of long range coordination between two trucks in accordance with one embodiment of the present invention.
[0020] Figure 6B illustrates the geofencing capability of the present invention.
[0021] Figures 7A-7C show an example of short range linking between two trucks, from available to linking to linked.
[0022] Figure 8A illustrates exemplary long range communications between trucks.
[0023] Figure 8B illustrates a variety of factors that a central server might consider in determining candidates for linking.
[0024] Figure 9A illustrates an embodiment of short range
communications between trucks.
[0025] Figure 9B illustrates the communications links which provide the short range communications of Figure 9A.
[0026] Figure 10 illustrates the establishment of a linked pair as the result of the short range communications between trucks.
[0027] Figures 1 1 A shows an exemplary installation of system components for one embodiment of the invention. [0028] Figure 1 1 B shows an embodiment in which the view from a forward looking camera in a lead truck is displayed to the driver of a following truck.
[0029] Figure 12 illustrates, in simplified block diagram form, an embodiment of a vehicular convoying control system in accordance with the present invention.
[0030] Figure 13 illustrates, in greater detail than Figure 12, the components of the control system which cooperate with the control processor of Figure 12.
[0031] Figure 14 shows exemplary components for a simplified version of the embodiment of Figure 12, suitable for a lead vehicle.
[0032] Figures 15A-B show, in flow diagram form, an embodiment of a process for coordination and linking in accordance with the invention, including consideration of factors specific to the vehicles.
[0033] Figures 16A-B show some additional safety features for some embodiments.
[0034] Figure 17 shows one exemplary embodiment of aerodynamic optimization for use with convoying vehicles.
[0035] Figure 18 illustrates additional safety features provided by an embodiment of the present invention, and particularly warnings and alerts.
[0036] Figure 19 illustrates a brake test safety feature provided by an embodiment of the invention.
[0037] Figures 20A-B illustrate in block diagram form an aspect of some embodiments of the invention for providing a variety of metrics for assessing truck and driver performance, and for routing appropriate information to the driver and the fleet manager.
DETAILED DESCRIPTION OF THE INVENTION
[0038] The present invention will now be described in detail with reference to several embodiments thereof as illustrated in the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent, however, to one skilled in the art, that embodiments may be practiced without some or all of these specific details. In other instances, well known process steps and/or structures have not been described in detail in order to not unnecessarily obscure the present invention. The features and advantages of embodiments may be better understood with reference to the drawings and discussions that follow.
[0039] The present invention relates to systems and methods for a Semi-Autonomous Vehicular Convoying. Such a system enables vehicles to follow closely behind each other, in a convenient, safe manner. For convenience of illustration, the exemplary vehicles referred to in the following description will, in general, be large trucks, but those skilled in the art will appreciate that many, if not all, of the features described herein also apply to many other types of vehicles.
[0040] To facilitate discussion, Figure 1 shows the airflow around a typical truck 100, illustrating both the relatively laminar airflow along the truck's roof and sides and the substantially turbulent flow at the rear of the truck. It will be appreciated by those skilled in the art that a vehicle's aerodynamic smoothness, related to the truck's frontal area and shape, affect total drag. The system of the present invention is aimed at reducing the drag caused by this type of airflow. This drag is responsible for the majority of fuel used in transportation, especially in the Heavy Truck sector (see Figure 2). The expense of this fuel is significant for all private and industrial vehicle users, but especially so for heavy truck fleets, where the fuel is about 40% of operating expenses (see Figure 3A). As shown in Figure 3B, the wind resistance for a typical truck 100 is approximately 63% of engine power at highway speeds. This wind resistance power is approximately proportional to vehicle speed to the third power, as Drag_Power = Cd * (Area * .5 * density * VelocityA3), where Cd is the coefficient of drag and is a function of the object's shape.
[0041] Embodiments of the present invention enable vehicles to follow closely together and to achieve significant fuel savings, both for the lead and the trailing vehicles, as illustrated in Figure 4 where two heavy trucks are shown following closely. Figure 5 (from "Development and Evaluation of Selected Mobility Applications for VII (a.k.a. IntelliDrive)", Shladover 2009) shows the fuel savings possible for heavy trucks at various gaps.
[0042] In accordance with the present invention, a key part of the functionality of one such embodiment is long range coordination between the vehicles, which, in an embodiment, is managed from a central location, but, alternatively, can be initiated and managed by the truck drivers. As shown in Figure 6A, this serves to allow vehicles 410 and 420 to find linking partners, where information concerning each truck such as shown at 615 and 625, is available to, for example, the central location. In an embodiment, unique indicia, such as a serial number, is associated with each vehicle available for linking. The unique indicia can, in an embodiment, be unique among all vehicles that are potentially available for linking, whether or not available at a specific time and location; or, in an alternative embodiment, the indicia can be temporarily assigned, for example as part of the process of identifying and selecting candidates for linking, and can be unique only among vehicles that are candidates for linking at a particular time and location. In a still further alternative, the permanent or temporarily unique indicia can be assigned not only to vehicles available for linking, but to all vehicles proximate to vehicles having the system of the present invention, such that each such "neighboring" vehicle is monitored for movements that might require an evasive maneuver or other safety-related action. Such an arrangement provides improved situational awareness, and the movements of such other vehicles can be recorded for safety and liability purposes. In some embodiments, rear or side view cameras, lidar or radar can provide improved detection and monitoring of neighboring vehicles. The system has some knowledge of the location and/or destination of the self-vehicle and of other equipped vehicles on the road. The system can thus suggest nearby vehicles with which to link. Numerous other factors can also be taken into account before selecting trucks to link, as discussed hereinafter at least in connection with Figures 15A-C. The factors discussed in connection with Figures 15A-15C become relevant, the trucks must be traveling, or available to be coordinated to travel, on the same route, in an area where linking will provide the desired fuel savings and safety benefits. Thus, as shown in Figure 6A, the two trucks are traveling on a stretch of major highway, both going the same direction, and neither is already linked. This provides, at least initially, some motivation to link the two trucks.
[0043] However, some areas of roadways are not well-suited to linking. For example, and as shown in Figure 6B, while the majority of a highway system may be adequate for enabling linking, indicated at 630, specific areas may be known to be undesirable for linking for one reason or another, and thus trucks in those areas are disabled from linking, indicated at 635.
Problem areas, where linking is disabled, can result from, among other things, a grade or a downgrade, a city, lack of a divided highway or other adverse roadway characteristics, weather, military installations, RF or microwave interference, or, in some cases, low overpasses. For routes that include low overpasses, the central location can simply provide different routing for trucks too tall to clear. In the event that a too-tall truck ends up on a route with a low overpass, an embodiment of the present invention can apply brakes or otherwise generate a warning, as discussed in greater detail hereinafter in connection with Figure 18.
[0044] Should it be desirable for two trucks to link, the result is as shown in Figures 7A-7C, where trucks 410 and 420 move to within a few feet of each other, for example in the range of 10 feet to approximately 500 feet, and the displays 615 and 625 show that a merge is allowed and that the trucks are available for linking, then linking, and then linked. In an
embodiment of the semi-autonomous system of the present invention, the trucks are brought generally proximate to one another through the
coordination of a central system together with long range communication.
[0045] Figures 8A-8B show the technology to enable such a system: in Figure 8A, a long range communication system 880 and a central server 890 provide a communication link to each of trucks 410 and 420. As shown in Figure 8B, the server 890 and/or the system onboard each vehicle 410, 420, makes decisions and suggestions based on knowledge of one or more of vehicle location, destination, load, weather, traffic conditions, vehicle type, trailer type, recent history of linking, fuel price, driver history, and other factors, all as shown at 830A-n. When a linking opportunity presents itself, the driver is notified via driver display 840, discussed in great detail in Figures 1 1 A-B. At that point, the driver can manually adjust the vehicle speed to reduce the distance between the vehicles, or the system can automatically adjust the speed. In some instances, the central server or on-board systems will conclude that the pair is not suitable for linking, and linking is disabled as shown at 850.
[0046] These linking opportunities can also be determined while the vehicle is stationary, such as at a truck stop, rest stop, weigh station, warehouse, depot, etc. They can also be calculated ahead of time by the fleet manager or other associated personnel. They may be scheduled at time of departure, or hours or days ahead of time, or may be found ad-hoc while on the road, with or without the assistance of the coordination functionality of the system. In addition, linking of vehicles within a yard is also possible, and can improve traffic flow while reducing emissions even as vehicles operate at low speed.
[0047] The determination of which vehicle to suggest for linking may take into account several factors, and choose an optimum such as the vehicle which minimizes a cost function. For example, it may minimize a weighted cost function of the distance between the vehicles and the distance between their destinations: Optimum=min( Wp(Posa - PoSb)2 + Wd(Desa - DeSb)2), where Wp and Wd are the weights on the two cost terms respectively. This cost function could have any of the factors listed above.
[0048] Once the two vehicles or drivers have decided to coordinate, either by choice or at the suggestion of the coordination functionality of the invention, they can manually adjust their speed, or it can be automatic. If manual, the system may suggest to the lead driver to slow down, and to the follower to speed up. Or if the leader is stationary (at a truck stop, rest stop, etc.), it may suggest that he delay his departure the appropriate amount of time. These suggestions may be based on vehicle speed, destination, driver history, or other factors. If the system automatically controls the speed, it may operate the truck in a Cruise Control or Adaptive Cruise Control type mode, with the speed chosen to bring the two vehicles closer together. The system may also operate in a semi-automatic mode, where it limits the speed of the leading vehicle, to bring them closer together.
[0049] In an embodiment, once the vehicles are sufficiently close together, communications between the vehicles is controlled locally, as shown in Figures 9A-B, rather than by the long range coordination system of Figure 8A. This ensures more accurate control of relative speed and distance between the vehicles. In one implementation, each of trucks 410 and 420 has an on-board control processor 900 and associated communications interface 905. In addition, each vehicle senses various characteristics of vehicle performance, such as speed, relative distance to the other truck, braking application and/or pressure, engine or drivetrain torque, system faults, and other characteristics, and those characteristics are communicated as appropriate to the other control processor. In an embodiment, the control processor in the lead truck takes control of the rear vehicle 420 and controls it to a close following distance behind the front vehicle 410. Alternatively, and as discussed in more detail in connection with Figure 13B, the control processor in the lead truck communicates its status to the control processor in the trailing truck, and vice versa, to cause the trucks to move into close proximity to one another while each remains under the control of its on-board control processor. In some embodiments, communications more critical to safety can be given prior over other types of communication among the vehicles. For example, brake application data or commands can be given priority over video transmission.
[0050] As a further alternative, one of the drivers may use an input to the system, which input can be by means of a touch sensitive display with a graphical user interface (GUI), for example, to activate this transition. As discussed above, key technology to allow this linking comprises primarily a distance/relative speed sensor, and a communication link. The type of functionality of this link is shown in Figure 10, where information about a braking event is sent from the front vehicle 410 to the rear vehicle 420. Other information may include accelerometer data (filtered or unfiltered), brake pressure, tire pressure, information about obstacles or other vehicles in front of the lead truck. Also, any of the above data may be passed from the front truck 410 to the rear truck 420 that relates to trucks in front of the pair (for example, to allow safe platoons of three or more trucks.) During the linked, close-following mode, the system controls the engine torque and braking, with no driver intervention required. In some embodiments, the driver is still steering the vehicle; in others, autonomous steering can be used.
[0051] The linking event can comprise a smooth transition to the close distance following. This may take the form of a smooth target trajectory, with functionality in a controller that tries to follow this trajectory. Using Dm as the safe relative distance in manual mode, and Da as the desired distance in semi-autonomous following mode, and a time Tt for the transition to occur, the target distance may be Dg = Dm + (Da-Dm)*(1 -cos(pi*t/Td))/2 for t less than or equal to Td. Thus in this way the change in gap per time is smallest at the beginning and the end of the transition, and largest in the middle, providing a smooth response. Other possible forms of this equation include exponentials, quadratics or higher powers, hyperbolic trigonometric functions, or a linear change. This shape can also be calculated dynamically, changing while the maneuver is performed based on changing conditions or other inputs.
[0052] The driver can deactivate the system in several ways.
Application of the brake pedal can restore conventional manual control, or can trigger a mode where the driver's braking is simply added to the system's braking. Applying the accelerator pedal can also deactivate the system, returning to a manual mode. Other driver inputs that can trigger a system deactivation, depending upon the implementation, include: Turn signal application, steering inputs larger or faster than a threshold, clutch pedal application, a gear change, Jake (compression) brake application, trailer brake application, ignition key-off, and others. The driver can also deactivate the system by selecting an option on the GUI screen or other input device. [0053] In the event of any system malfunction, including but not limited to component failures, software failures, mechanical damage, etc., the system may react in one of several safe ways. In general the trailing truck will reduce engine torque and/or start braking to ensure a safe gap is maintained. This braking may continue until the trailing truck has come to a complete stop, or it may continue only until a nominally safe distance is achieved (safe without automated control), or it may continue only until the malfunction has been identified. Additionally, one of several alerts may be used to notify the driver of the malfunction and subsequent action of the control system: A braking jerk, consisting of a small braking command, an audible tone, a seat vibration, a display on the GUI or other display, flashing the instrument cluster or other interior lights, increasing or decreasing engine torque momentarily, activation of the "Jake" (compression) brake, or other useful alerts.
[0054] To enable some or all of the described functionality, the system may have some or all of the following components shown in Figure 1 1 A: an accelerator pedal interceptor 1140, either on the communications and control bus found in most modern trucks, or sensed and modified as a range or set of analog voltages, to be used to command torque from the engine in a manner which resembles a highly refined cruise control; a modified brake valve 1150, which allows the system to command braking even in the absence of driver command; a forward-looking RADAR or LIDAR unit 1 130 which senses distance to and relative speed with respect to the vehicle in front 410; a user interface 1120, which may also house a forward looking camera, by which the driver can interact with and control the system; an antenna array 1110, used for the short and long range communication systems; and a GPS receiver, which can be a precision GPS, differential GPS, or other GNSS device.
[0055] The benefit of the forward looking camera, available either as part of interface 1 120 or independently, provides a significant safety benefit, which can be appreciated from Figure 1 1 B. Figure 1 1 B shows, at 1 160, the view seen by the driver of the trailing truck in a linked pair: the driver sees mostly the back of the lead truck, as well as some space to each side of the lead truck. However, in an embodiment, a display 1 170 of the forward-looking camera 1 120 in the lead truck is provided to the driver of the trailing truck, thus providing the driver of the trailing truck an unobstructed view of what is ahead of the linked pair of trucks. This permits the driver of the second truck to operate the trailing vehicle with the same knowledge of the road ahead as the lead vehicle, including observing unexpected developments, hazards, traffic, etc. The display 1 170 can be visor or dash mounted, or in any other convenient location, and can also comprise a touch screen user interface, as discussed in greater detail in connection with Figure 12.
[0056] Figure 12 shows the system architecture for one embodiment 1200. The user 1210 interacts with the system through a user interface, which may be a Graphical User Interface 1220, and which is typically, although not necessarily, integrated with a control processor 1230.
Alternatively, the user interface can comprise an additional electronics unit, such as a tablet-style computer which can be mounted in any convenient location, such as the dash or the visor. Such tablets typically include graphical user interfaces, although such an interface is not necessary and any convenient interface will do. Such tablets often also include a cellular modem, thus permitting long range communications and coordination, as well as a GPS. In some implementations, these features can be provided separately. For purposes of simplicity in the present disclosure, it will be assumed that the user interface 1220 is a tablet with such features, including a graphical user interface and touch screen. In an alternative embodiment, a smartphone can be substituted for the tablet. In other embodiments, the processing capability required by the system of Figure 12 can be provided by the tablet or smartphone. In appropriate embodiments, such tablets or smartphones can serve as the core controller, the user interface panel, or can provide some or all of the vehicle-to-vehicle link through either cellular connectivity, Bluetooth, WiFi, or other suitable connection. Such devices can also be connected to the rest of the system, such as a CAN or J1939 bus, or vehicle ECU'S.
[0057] The user 1210 receives information (a) from visual and or auditory alerts, and can make system requests (e.g., for linking or
coordination). The user interface 1220 communicates with a long range data link 1240 (b), such as through a cellular modem or other service. The user interface 1220 is responsible for managing this data link, sending data via the link, and receiving data via the link. A control processor 1230 (which may be alternatively integrated with the GUI box) receives sensor information 1250 (c), short range data link 1260 information (e), and controls the actuators 1270 (f). It receives information from the user interface 1220 via a wired or wireless link (d), and sends information to the user interface 1220 to be relayed to the driver and/or long range communication link 1240. Alternately, the long range communication link 1240 can connect directly to the control box 1230. In this case, the user interface 1220 may be an extremely simple (low cost) device, or may even be eliminated from the system entirely.
[0058] Figure 13A shows one embodiment of a vehicle control unit 1300 in accordance with the present invention while Figure 13B shows in process flow form the exchange of information between the vehicle control units 1300 of both the lead and trailing trucks. In particular, and with reference to Figure 13A, the unit 1300 comprises at least one control processor 1230, which communicates with various core sensors such as radar/lidar 1310, accelerometers 1320, data links 1360, and also
communicates with actuators such as brake valve 1340 and accelerator command unit 1390. Via connection (a), typically but not necessarily a CAN interface, the control processor 1230 configures the radar unit 1310 and receives data. Connection (b) to accelerometers 1320, which can be wireless, gives the control box acceleration information in 1 , 2 or 3 axes as well as rotation rate information about 1 , 2 or 3 axes. In some embodiments, gyros can be substituted for accelerometers, especially for, for example, rotation rate. The data link 1360, shown at (c) and illustrated in greater detail below as indicated by the dashed lines, provides information about relevant characteristics of the leading truck 410, including its acceleration, or is used to provide the same or similar information to a following truck 420. The brake valve 1340 (d) provides data on brake pressure, and is used to apply pressure via a command from the control processor 1230. The accelerator command 1390 is sent via an analog voltage or a communications signal (CAN or otherwise). The control processor performs calculations to process the sensor information, information from the GUI, and any other data sources, and determine the correct set of actuator commands to attain the current goal (example: maintaining a constant following distance to the preceding vehicle). The data links 1360 can comprise a link to the truck manufacturer's engine control unit 1370, a wireless link 1375 for communications and a link to other aspects of the vehicle as shown at 1365. Each of these links can, depending upon the embodiment, be bidirectional.
[0059] The operation of the vehicle control unit 1300 of the present invention can be better appreciated from Figure 13B, which shows, for an embodiment, the general flow between the vehicle control units 1300 of two linked vehicles. Two modes of operation are possible: in a first mode, the front truck's control unit 1300 issues commands to the back truck's control unit, and those commands are, in general, followed, but can be ignored in appropriate circumstances, such as safety. In a second mode, the front truck's control unit sends data to the second truck, advising the trailing truck of the data sensed by the lead truck and the actions being taken by the lead truck. The second truck's control unit then operates on that data from the front truck to take appropriate action. As shown at 1305, the following or trailing truck sends data about its operation to the front or lead truck. At 1315, the lead truck receives the data from the trailing truck, and senses motion and/or external objects and/or communication inputs. The lead truck then decides upon actions for the lead truck, shown at 1325, and, if operating in the first mode, also decides upon actions for the back truck, shown at 1330. Then, depending upon whether operating in first or second mode, the lead truck either sends commands (1335) to the trailing truck (first mode), or sends data (1345) to the trailing truck (second mode). If operating in the first mode, the second truck receives the commands and performs them at 1350, with the caveat that the second truck can also chose to ignore such commands in some embodiments. If operating in the second mode, the second truck receives the data at 1355, and decides what actions to perform. Because the control programs for both units 1300 are the same, in most cases the resulting control of the second truck will be identical regardless of operating mode. Finally, the second truck communicates to the front truck what actions it has taken, so that each truck knows the state of the other. In at least some embodiments, this process is repeated substantially continually to ensure that each truck has the current state of the other truck, thus ensuring safe and predictable operation of each truck, even when operating in close-order formation at highway speeds.
[0060] Figure 15A shows one embodiment of the coordination and linking functionality. First, the system identifies a vehicle available for coordination 1510 (example: within a certain range, depending on the route of the two vehicles). Once one of the vehicles has accepted 1522 or 1524, the other can then accept, meaning that the pair has agreed to coordinate for possible linking 1530. Depending on vehicle positioning, weight of load, vehicle equipment, and other factors, a vehicle within linking range may be identified as a Following Vehicle Available for Linking 1542 or a Leading Vehicle Available for Linking 1544. If neither of these is the case, the system returns to coordination mode. Once a Following Vehicle Available for Coordination has Accepted the link 1552, the Self Vehicle then also accepts the link 1553, initiating the link. Upon completion of the link, the vehicles are now linked 1562. Similarly, once a Leading Vehicle Available for Coordination has Accepted the link 1554, the Self Vehicle then also accepts the link 1555, initiating the link. Upon completion of the link, the vehicles are now linked 1564.
[0061] Figure 15B illustrates an embodiment of a process by which the vehicle mass of the truck is taken into account to determine whether a particular truck pair is suitable for linking and, if so, which truck should lead, and at what gap. In Figure 15B, engine torque and acceleration are sensed at 1576. Because, in at least some embodiments, the vehicle control unit 1300 knows a variety of details about the truck on which the system is installed (including either torque, engine speed, and acceleration, or power and acceleration) the engine torque and acceleration permits vehicle mass to be calculated, shown at 1578. Based upon that calculation for each truck in the pair, the trucks are determined either to be suitable for linking, or not. If they are suitable for linking, shown at 1580, a determination as to which truck should lead is made at 1582, using the factors mentioned above. In some instances, the characteristics of the truck, such as load, etc., may cause the control units 1300 of the respective trucks to adjust the gap between the trucks, or the algorithm by which distance is adjusted with speed, as shown at 1584. Other operating characteristics that can, depending upon the embodiment, influence the adjustment of distance can include type of brakes installed, recent brake use, time/distance since maintenance, tire life, type of tires, and temperature. Further, if an exit, interchange, or other road feature or condition is encountered, or is being approached (for example, as detected by vehicle sensors or communicated from an external source such as the fleet office) then the distance can be increased to provide visibility to the rear driver. Additionally for an upcoming exit the rear truck or both trucks can be set to coast to avoid braking at the off-ramp. In some embodiments, the following distance can also be adjusted based on other upcoming features of the road or greater environment, to ensure safety, make the driver more comfortable, or for other reasons. Dangerous low overpasses, inspection stations, road grade, or areas identified as dangerous, can all be used to adjust the following distance. These features can be identified from map data, internet data, or other source. Other features can be detected by either or both trucks, either from their on-board sensors, or from the sensors added for the system. These include upcoming road curvature, current or upcoming road grade. Current or upcoming traffic can also be identified through radar sensors, the internet, machine vision, or other methods. In some
embodiments, the following distance can also be set based on driver activity. A lack of steering input can signify inattention and cause an increase in following distance. Similarly, aggressive behavior, shown by aggressive motion of the steering wheel, pedals or other input, can be used to set a desired distance. The turn signal can also change the distance, for example to allow space between the vehicles for exiting the road. The driver can also select the following distance in some embodiments. Still further, the current fuel economy, the amount of fuel onboard, the projected range, or other fuel- related parameters may be used to set the following distance. For example the driver may want to follow more closely when the fuel level is low, to help reach a destination. As another example, the fleet or the driver may have a target fuel economy, and the adjustment of following distance can be used to meet this target, within limits appropriate to ensuring safety. [0062] In the event the leading vehicle 410 is required to make emergency maneuvers, safety is ensured by the use of the communications link between the two vehicles. This link may send some or all of the following: Brake application pressure, brake air supply reservoir pressure, engine torque, engine RPM, compression (Jake) brake application, accelerator pedal position, engine manifold pressure, computed delivered torque, vehicle speed, system faults, battery voltage, vehicle acceleration, driver inputs, diagnostic information, braking system condition, and radar/lidar data.
[0063] The data link 1260 has very low latency (approximately 10ms in one embodiment), and high reliability. This could be, but is not limited to, WiFi, DSRC (802.1 1 p), radio modem, Zigbee, or other industry standard format. This link could also be a non-industry-standard format. In the event of a data link loss, the trailing vehicles are typically instructed to immediately start slowing, to ensure that if the front vehicle happens to brake immediately when the link is lost, the gap can be maintained safely.
[0064] In addition to safe operation during the loss of the data link
1260, the system should be safe in the event of failure of components of the system. For most failures, the trailing vehicles 420 start braking, until the driver takes control or other sensors determine that the situation is safe at which point braking can be decreased as appropriate. This ensures that, in the worst case where the front vehicle 410 starts to brake immediately when a system component fails, the system is still safe. The modified brake valve 1340 is also designed such that in the event of a complete failure, the driver can still brake the vehicle.
[0065] Ordering of the vehicles: In an embodiment, the system arranges the vehicles on the road to ensure safety. This order may be determined by vehicle weight/load, weather/road conditions, fuel savings or linking time accrued, braking technology on the vehicle, destination or other factors. In such an embodiment, the system will (graphically or otherwise) tell the drivers which vehicle should be in the front. For example, to mitigate fatigue, the system may cause the trucks to exchange positions on a periodic basis. In embodiments where order is important, such as heavy trucks, the system will only perform the linking functionality if the vehicles are in the correct order. The order may be determined by relative positioning measures like GPS, directional detection of the wireless communication, driver input, visual (video or still image) processing, or direct or indirect detection of aerodynamics through fuel savings or sensors. In another embodiment, the system can apply steering or other lateral control, combined with control of engine torque and braking, if needed, to effectuate the desired order of the vehicles.
[0066] Figure 16A shows some additional safety features the system may have to prevent other types of accidents unrelated to the close following mode. One such feature is to use the video stream from the front looking camera to detect drifting within or out of the lane. This is done by looking at the edges or important features on the leading vehicle 410, and calculating the lateral offset from that vehicle. When it is detected, the system can react with a braking jerk (a short braking application to get the driver's attention), slowing down, or a braking jerk in the leading vehicle. Alternatively, and as shown in Figure 16B, a set of registration marks 1605 can be provided on a display for the driver of the trailing rig, to permit optimum longitudinal registration between the vehicles. In embodiments having video, portions of the video that are not important, or change less frequently, can be highly compressed or not transmitted at all. For example, when trucks are linked, the back of the lead vehicle does not change significantly, and is not critical. The compression can be varied based on known or commanded movement of the vehicles. For example if it is known that the vehicles have relative motion laterally, then the image can be shifted laterally in an efficient way without sending the raw video.
[0067] The system can also use the front mounted radar to detect obstacles or stationary vehicles in the road, even when not in close-following mode. When these are detected, it can apply a braking jerk, slow the vehicle, or provide visual or auditory warnings. The system can also use the accelerator pedal signal to determine when the driver is not engaged with the vehicle (or other driver states) and react accordingly, such as slowing the vehicle or disabling the system. These and other warnings and alerts are discussed hereinafter in connection with Figure 18. [0068] To facilitate rapid deployment, a simpler version of the system enables vehicles to be a leading vehicle, shown in Figure 14. The
components on this version are a subset of those on the full system, so there is no automation. There are several embodiments of this reduced set of functionality, with different subsets of the components from the full system. One minimal system simply performs two functions: Transmits sufficient data to the trailing vehicle to allow close following, and alerts the front driver to a linking request and allows him/her to accept or decline it. As such, this version has only the data link functionality 1460. It connects to the brake pressure sensor and electrical power. This system may also have additional components, including an accelerometer 1450 and/or an extremely simply user interface and/or long range data communication 1440.
[0069] The full system may also provide other fuel economy
optimizations. These may include grade-based cruise control, where the speed set-point is determined in part by the grade angle of the road and the upcoming road. The system can also set the speed of the vehicles to attain a specific fuel economy, given constraints on arrival time. Displaying the optimum transmission gear for the driver 1410 can also provide fuel economy benefits.
[0070] The system may also suggest an optimal lateral positioning of the trucks, to increase the fuel savings. For example, with a cross wind, it may be preferable to have a slight offset between the trucks, such that the trailing truck is not aligned perfectly behind the leading truck. This lateral position may be some combination of a relative position to the surrounding truck(s) or other vehicles, position within the lane, and global position. This lateral position may be indicated by the registration marks 1605.
[0071] The data link between the two vehicles is critical to safety, so the safety critical data on this link has priority over any other data. Thus the link can be separated into a safety layer (top priority) and a convenience layer (lower priority). The critical priority data is that which is used to actively control the trailing vehicle. Examples of this may include acceleration information, braking information, system activation/deactivation, system faults, range or relative speed, or other data streams related to vehicle control. The selection of which data is high priority may also be determined, in whole or in part, by the data being sent and/or received. For example in an emergency braking situation, additional data may be included as high priority.
[0072] The lower priority convenience portion of the link can be used to provide data, voice or video to the drivers to increase their pleasure of driving. This can include social interaction with the other drivers, or video from the front vehicle's camera to provide a view of the road ahead. This link can also be used when the vehicle is stationary to output diagnostic information gathered while the vehicle was driving. In addition, other cameras, and thus other views, can be provided, including providing the driver of the lead truck with a view from the forward-looking camera on the trailing rig, or providing both drivers with sufficient camera views from around each vehicle that all blind spots are eliminated for each driver.
[0073] Because the system is tracking the movements of the vehicles, a tremendous amount of data about the individual vehicles and about the fleet is available. This information can be processed to provide analysis of fleet logistics, individual driver performance, vehicle performance or fuel economy, backhaul opportunities, or others. These and other features are discussed hereinafter in connection with Figures 20A-B.
[0074] In an embodiment, the system includes an "allow to merge" button to be used when the driver wants another vehicle to be able to merge in between the two vehicles. The button triggers an increase in the vehicle gap to a normal following distance, followed by an automatic resumption of the close following distance once the merging vehicle has left. The length of this gap may be determined by the speed of the vehicles, the current gap, an identification of the vehicle that wishes to merge, the road type, and other factors. The transition to and from this gap may have a smooth shape similar to that used for the original linking event. Using Dv as the relative distance to allow a vehicle to cut in, and Da as the desired distance in semi-autonomous following mode, and a time Tt for the transition to occur, the target distance may be Dg = Da + (Dv-Da)*(1 -cos(pi*t/Tci))/2 for t less than or equal to Td.
[0075] For vehicles without an automatic transmission, the system can sense the application of the clutch pedal by inferring such from the engine speed and vehicle speed. If the ratio is not close to one of the transmission ratios of the vehicle, then the clutch pedal is applied or the vehicle is in neutral. In this event the system should be disengaged, because the system no longer has the ability to control torque to the drive wheels. For example this calculation may be performed as a series of binary checks, one for each gear: Gear_1 = abs(RPM/WheelSpeed - Gearl Ratio) < Gearl Threshold and so on for each gear. Thus if none of these are true, the clutch pedal is engaged.
[0076] The system can estimate the mass of the vehicle to take into account changes in load from cargo. The system uses the engine torque and measured acceleration to estimate the mass. In simplest form, this says that M_total = Force_Wheels / Acceleration. This may also be combined with various smoothing algorithms to reject noise, including Kalman filtering, Luenberger observers, and others. This estimate is then used in the control of the vehicle for the trajectory generation, system fail-safes, the tracking controller, and to decide when full braking power is needed. The mass is also used to help determine the order of the vehicles on the road.
[0077] Many modifications and additions to the embodiments described above are possible and are within the scope of the present invention. For example, the system may also include the capability to have passenger cars or light trucks following heavy trucks. This capability may be built in at the factory to the passenger cars and light trucks, or could be a subset of the components and functionality described here, e.g., as an aftermarket product.
[0078] The system may also include an aerodynamic design optimized for the purpose of convoying, as shown in Figure 17. This may be the design of the tractor or trailer, or the design of add-on aerodynamic aids that optimize the airflow for the convoy mode. This design may correspond to a specific speed, at which the airflow will be optimized for the convoy mode.
[0079] For example, a hood may deploy, e.g., slide forward, from the roof of the follower vehicle. Portions of the hood may be textured (like an aerodynamic golf ball surface) or may be transparent so as not to further obscure the follower driver's view. In another example, the existing aerodynamic cone of a follower truck may be repositioned, and/or the cone profile dynamically reconfigured, depending on vehicular speed and weather conditions. This aerodynamic addition or modification may be on the top, bottom, sides, front, or back of the trailer or tractor, or a combination thereof.
[0080] This aerodynamic design may be to specifically function as a lead vehicle 1710, specifically as a following vehicle 1720, or an optimized combination of the two. It may also be adjustable in some way, either automatically or manually, to convert between optimized configurations to be a lead vehicle, a following vehicle, both, or to be optimized for solitary travel.
[0081] The data link between the two vehicles may be accomplished in one of several ways, including, but not limited to: A standard patch antenna, a fixed directional antenna, a steerable phased-array antenna, an under- tractor antenna, an optical link from the tractor, an optical link using one or more brake lights as sender or receiver, or others. In at least some embodiments, it is desirable to ensure that a line of sight is maintained between the antenna of the lead and following truck, for those types of communication that require it. Multiple antennas can be used in such embodiments, by, for example using one antenna on each side mirror of the vehicle, such that one of these antennas is usually in line of sight to an antenna on the other vehicle. The selection between the available antennas can be done based on detected signal strength, for example. In a platooning or automated system, the optimal antenna can be predicted through knowledge of the motion of the vehicles, the commanded motion, or knowledge of the surrounding vehicles, either from sensing or from
communication. In some embodiments, the placement of antennas on the vehicle may be chosen specifically for platooning. For example if the predetermined distance between the vehicles is known to be twenty feet, the antenna placement may be chosen to ensure that line of sight is maintained at a twenty foot spacing. It is also possible to command, through the vehicle control unit, that the vehicles maintain a line of sight. Such an approach can be combined with other factors, for example sidewind, to determine an overall optical relative position between the vehicles. The phase lock loop in the communications module can be fed the commanded motion of one or more vehicles, to help predict the Doppler shift. [0082] The data link, or other components of the system, may be able to activate the brake lights, in the presence or absence of brake pedal or brake application.
[0083] Other possible modifications include supplemental visual aids for drivers of follower vehicles, including optical devices such as mirrors and periscopes, to enable follower drivers to get a better forward-looking view which is partially obscured by the lead vehicle.
[0084] Any portion of the above-described components included in the system may be in the cab, in the trailer, in each trailer of a multi-trailer configuration, or a combination of these locations.
[0085] The components may be provided as an add-on system to an existing truck, or some or all of them may be included from the factory. Some of the components may also be from existing systems already installed in the truck from the factory or as an aftermarket system.
[0086] The present invention is also intended to be applicable to current and future vehicular types and power sources. For example, the present invention is suitable for 2-wheeler, 3-wheelers, 4 wheelers, 6 wheelers, 16-wheelers, gas powered, diesel powered, two-stroke, four-stroke, turbine, electric, hybrid, and any combinations thereof. The present invention is also consistent with many innovative vehicular technologies such as hands- free user interfaces including head-up displays, speech recognition and speech synthesis, regenerative braking and multiple-axle steering.
[0087] The system may also be combined with other vehicle control systems such as Electronic Stability Control, Parking Assistance, Blind Spot Detection, Adaptive Cruise Control, Traffic Jam Assistance, Navigation, Grade-Aware Cruise Control, Automated Emergency Braking, Pedestrain detection, Rollover-Control, Anti-Jacknife control, Anti-Lock braking, Traction Control, Lane Departure Warning, Lanekeeping Assistance, Sidewind compensation. It may also be combined with predictive engine control, using the command from the system to optimize future engine inputs. With reference to Figure 18, an embodiment by which such warnings and alerts are generated in accordance with the invention can be better appreciated. A warning and alert processor 1800, which can either be integrated with the control processor 1230 or be a separate processor, receives inputs from the vehicle sensors 1805, as well as the short range communication link 1810, and various driver sensors 1815 including, for example, a sobriety sensor. In addition, the processor 1800 receives input concerning the location on the road, any applicable grade, and the state of the vehicle, as shown at 1820. If an unacceptable condition exists, the processor 1800 either causes an alert 1825, which can take the form of sound, vibration, a visual display, or some other signal intended to be immediately noticed by the driver, or the processor causes an action 1830, such as braking and/or reduction in engine torque.
[0088] Figure 19 illustrates yet another safety feature implemented in some embodiments of the invention. Braking is a key safety feature for trucks operating either in linked mode or independently. The ability to determine brake condition while underway is of significant value, and can be
accomplished by the method shown in Figure 19. In particular, while the vehicle is moving, the driver applies the brakes at 1900. The vehicle control unit 1300 samples the input from the vehicle sensor to (1 ) detect deceleration, shown at 1905; (2) detect wheel slip(s), shown at 1910; and, (3) detect brake air pressure, shown at 1915. Based on the collective data, brake condition is calculated at 1920. The result of the calculation can be displayed to the driver or the fleet manager (through the long range communication link), and can provide a warning or alert if the brake condition is abnormal. Additionally, if the truck is available for linking, the result of the calculation at step 1920 can be used to choose whether to link as part of a particular pair, shown at 1925. If a link is to be made, the calculation can be used to determine which truck of the pair should lead, 1930, or to adjust the gap or algorithm, 1935.
[0089] Referring next to Figures 20A-B, an embodiment for collecting data about the operation of a particular truck, and a fleet as a whole, can be better appreciated. A variety of measured data 2000A-n, including vehicle speed, fuel consumption, historical data, braking information, gear
information, driver sensors, gap information, weather, and grade as just some examples, are provided to the central server or the on-board system 2010. The server or other processor 2010 calculates a selection of metrics including miles per gallon, driver efficiency, savings, time linked, availability of linkings, and numerous variations. From these, selected metrics can be displayed to the driver, 2020, or the fleet manager 2030, or can be used to provide driver incentives, 2040. An exemplary display 2050 for the driver is illustrated in Figure 20B, particularly by showing the savings per mile achieved by the driver.
[0090] Data from the vehicles can provide specific information on best practices for a variety of aspects of driving. First, the data must be aggregated to form a database of best practice. This can take the form of an average (or median) of data traces, or can be calculated based on a weighted cost function. In one algorithm, higher fuel economy traces are weighted more heavily, and a weighted average is then calculated for each control input. In another, the drive is separated into segments and the single best drive for each of those segments is identified. Other considerations can also be factors, for example mechanical considerations such as engine
overheating, brake condition and others.
[0091] This database of best practices may also be a function of truck and conditions. In one embodiment, there is a separate best practice for each model of truck. Once this best practices data is created, it can be applied to a wide variety of control inputs. These include gear selection, speed selection, route selection. It can include the specific means to attain each of these selections, including pedal application, transmission retarder activation, compression Qake) brake application. These optimized control inputs can then be communicated to either the driver or an automated system, or a combination thereof. If to an automated system, these can be used to adjust the target speed, or shifting selection or other parameters of the automation system.
[0092] In some embodiments, various optimal inputs can also be suggested to the driver by displaying them on the visual display or other device. In addition, current inputs can be overlayed with calculated best inputs. We can also show the potential improvement, for example showing the current miles per gallon and the anticipated miles per gallon if the suggested choices are implemented. [0093] The collected data can also be shown after the drive itself, either to the fleet manager, the driver, or other interested parties. This can also be used to adjust various aspects of the fleet operation, such as which driver drives in which location, which truck is used for each route, or dispatch times.
[0094] In sum, the present invention provides systems and methods for a Semi-Autonomous Vehicular Convoying. The advantages of such a system include the ability to follow closely together in a safe, efficient, convenient manner.
[0095] While this invention has been described in terms of several embodiments, there are alterations, modifications, permutations, and substitute equivalents, which fall within the scope of this invention. Although sub-section titles have been provided to aid in the description of the invention, these titles are merely illustrative and are not intended to limit the scope of the present invention.
[0096] It should also be noted that there are many alternative ways of implementing the methods and apparatuses of the present invention. It is therefore intended that the following appended claims be interpreted as including all such alterations, modifications, permutations, and substitute equivalents as fall within the true spirit and scope of the present invention.

Claims

CLAIMS What is claimed is:
1 . A system for convoying vehicles whereby a following vehicle is caused to follow a lead vehicle, comprising
processing system for receiving data about a plurality of vehicles and selecting vehicles for linking in accordance with the data,
long distance communications link for directing the candidate vehicles into proximity to one another,
short range communications link for communicating among the candidate vehicles to cause the vehicles to move into a linked position, and vehicle control unit responsive to the short range communications link for managing vehicular functions to safely maintain a linked position among the vehicles.
2. The system of claim 1 wherein the data comprises some of a group comprising routing, weight, braking capability, destination, load, weather, traffic conditions, vehicle type, trailer type, recent history of linking, fuel price, and driver history.
3. The system of claim 1 wherein the selecting is based at least in part on a weighted cost function of the distance between the vehicles and the distance between their destinations.
4. The system of claim 1 wherein the routing data includes identification of locations where linking is not desirable.
5. The system of claim 1 wherein the vehicle control unit manages automated steering of a following vehicle.
6. The system of claim 1 wherein the vehicle control unit maintains relative speed and distance between the linked vehicles.
7. The system of claim 1 wherein the vehicle control unit can discontinue linking.
8. The system of claim 7 wherein at least one of the vehicle control units, in either the lead vehicle or a following vehicle, receives characteristics of vehicle performance in determining whether to maintain or discontinue linking.
9. The system of claim 8 wherein the characteristics of vehicle
performance comprise at least one of speed, relative distance to the other truck, braking application and/or pressure, engine or drivetrain torque, and system faults.
10. The system of claim 1 wherein the vehicles transition into a linked position in a smooth trajectory.
1 1 . The system of claim 10 wherein the smooth trajectory comprises a beginning, a middle, and an end, and a change in the relative distance between the vehicles per unit of time is smallest at the beginning and the end of the transition, and largest in the middle.
12. The system of claim 1 wherein linking is terminated in response to one or more of a group comprising turn signal application, steering inputs larger or faster than a threshold, clutch pedal application, a gear change, Jake
(compression) brake application, trailer brake application, ignition key-off, or driver input.
13. The system of claim 6 wherein relative distance between the vehicles is determined by at least one of a group comprising radar, lidar, cameras, and precision GPS.
14. The system of claim 1 wherein each vehicle available for linking has associated therewith a unique indicia.
15. The system of claim 1 wherein the short range communications link comprises a low latency data link.
16. The system of claim 15 wherein the low latency data link is selected from a group comprising WiFi, DSRC (802.1 1 p), radio modem, Zigbee.
17. The system of claim 1 wherein the processing system comprises a data processing system on each vehicle.
18. The system of claim 1 wherein the processing system selects the order of the vehicles when linked.
19. The system of claim 18 wherein the order is based upon one or more of a group comprising vehicle weight/load, weather/road conditions, fuel savings or linking time accrued, braking technology on the vehicle, destination.
20. The system of claim 18 wherein linking is only permitted when the vehicles are in the selected order.
21 . The system of claim 1 wherein each vehicle available for linking at a specific time and location has temporarily associated therewith indicia unique among the vehicles then available for linking.
22. The system of claim 1 , wherein the vehicle control unit receives data identifying neighboring vehicles, not available for linking, assigns unique indicia to each such neighboring vehicle, and monitors their movements while the movements of such vehicles may require evasive or other safety related maneuvers.
PCT/US2014/030770 2011-07-06 2014-03-17 Vehicle platooning systems and methods WO2014145918A1 (en)

Priority Applications (20)

Application Number Priority Date Filing Date Title
CA2907452A CA2907452A1 (en) 2013-03-15 2014-03-17 Vehicle platooning systems and methods
US14/855,044 US9645579B2 (en) 2011-07-06 2014-03-17 Vehicle platooning systems and methods
US15/589,124 US10481614B2 (en) 2011-07-06 2017-05-08 Vehicle platooning systems and methods
US15/860,024 US10234871B2 (en) 2011-07-06 2018-01-02 Distributed safety monitors for automated vehicles
US15/926,809 US20180210463A1 (en) 2013-03-15 2018-03-20 System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles
US15/926,813 US10474166B2 (en) 2011-07-06 2018-03-20 System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles
US15/926,805 US11294396B2 (en) 2013-03-15 2018-03-20 System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles
US15/936,271 US10514706B2 (en) 2011-07-06 2018-03-26 Gap measurement for vehicle convoying
US15/988,905 US10216195B2 (en) 2011-07-06 2018-05-24 Applications for using mass estimations for vehicles
US16/247,239 US11106220B2 (en) 2011-07-06 2019-01-14 Applications for using mass estimations for vehicles
US16/427,888 US20190346864A1 (en) 2011-07-06 2019-05-31 Vehicle platooning systems and methods
US16/427,832 US20190346861A1 (en) 2011-07-06 2019-05-31 Vehicle platooning systems and methods
US16/427,853 US20190346863A1 (en) 2011-07-06 2019-05-31 Vehicle platooning systems and methods
US16/427,846 US11614752B2 (en) 2011-07-06 2019-05-31 Vehicle platooning systems and methods
US16/675,579 US11360485B2 (en) 2011-07-06 2019-11-06 Gap measurement for vehicle convoying
US17/461,741 US11835965B2 (en) 2011-07-06 2021-08-30 Applications for using mass estimations for vehicles
US17/713,192 US12050474B2 (en) 2013-03-15 2022-04-04 System and method for implementing precognition braking and/or avoiding or mitigation risks among platooning vehicles
US17/839,464 US12124271B2 (en) 2011-07-06 2022-06-13 Gap measurement for vehicle convoying
US18/126,975 US20240077887A1 (en) 2011-07-06 2023-03-27 Vehicle platooning systems and methods
US18/383,967 US20240319729A1 (en) 2011-07-06 2023-10-26 Applications for using mass estimations for vehicles

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201361792304P 2013-03-15 2013-03-15
US61/792,304 2013-03-15

Related Parent Applications (4)

Application Number Title Priority Date Filing Date
US13/542,622 Division US8744666B2 (en) 2011-07-06 2012-07-05 Systems and methods for semi-autonomous vehicular convoys
US14/292,583 Continuation-In-Part US9665102B2 (en) 2011-07-06 2014-05-30 Systems and methods for semi-autonomous vehicular convoys
US14/292,583 Continuation US9665102B2 (en) 2011-07-06 2014-05-30 Systems and methods for semi-autonomous vehicular convoys
US15/607,902 Continuation-In-Part US10254764B2 (en) 2011-07-06 2017-05-30 Platoon controller state machine

Related Child Applications (6)

Application Number Title Priority Date Filing Date
US14/855,044 A-371-Of-International US9645579B2 (en) 2011-07-06 2014-03-17 Vehicle platooning systems and methods
US14/292,583 A-371-Of-International US9665102B2 (en) 2011-07-06 2014-05-30 Systems and methods for semi-autonomous vehicular convoys
US201514855044A Continuation-In-Part 2011-07-06 2015-09-15
US15/589,124 Continuation US10481614B2 (en) 2011-07-06 2017-05-08 Vehicle platooning systems and methods
US15/607,316 Continuation US10281927B2 (en) 2011-07-06 2017-05-26 Systems and methods for semi-autonomous vehicular convoys
US15/607,902 Continuation US10254764B2 (en) 2011-07-06 2017-05-30 Platoon controller state machine

Publications (2)

Publication Number Publication Date
WO2014145918A1 true WO2014145918A1 (en) 2014-09-18
WO2014145918A9 WO2014145918A9 (en) 2014-12-04

Family

ID=51538131

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2014/030770 WO2014145918A1 (en) 2011-07-06 2014-03-17 Vehicle platooning systems and methods

Country Status (3)

Country Link
US (5) US9645579B2 (en)
CA (1) CA2907452A1 (en)
WO (1) WO2014145918A1 (en)

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016163929A1 (en) * 2015-04-10 2016-10-13 Scania Cv Ab Device and method for classification of road segments based on their suitability for platooning
WO2017003341A1 (en) * 2015-07-01 2017-01-05 Scania Cv Ab Method and system for alerting a driver in a follower vehicle
WO2017035516A1 (en) 2015-08-26 2017-03-02 Peloton Technology, Inc. Devices systems and methods for vehicle monitoring and platooning
US9632507B1 (en) 2016-01-29 2017-04-25 Meritor Wabco Vehicle Control Systems System and method for adjusting vehicle platoon distances based on predicted external perturbations
GB2545571A (en) * 2015-12-16 2017-06-21 Ford Global Tech Llc Convoy vehicle look-ahead
WO2018054518A1 (en) * 2016-09-21 2018-03-29 Wabco Europe Bvba Method for controlling an own vehicle to participate in a platoon
WO2018085107A1 (en) * 2016-11-02 2018-05-11 Peloton Technology, Inc. Gap measurement for vehicle convoying
WO2018124987A1 (en) * 2016-12-28 2018-07-05 Tty Motorlu Araclar Turizm Tasimacilik Insaat Tekstil Elektronik Bilisim Sanayi Ve Ticaret Limited Sirketi Modular safe driving assistant
EP3210090A4 (en) * 2014-10-21 2018-07-11 Road Trains LLC Platooning control via accurate synchronization
WO2018177605A1 (en) * 2017-03-28 2018-10-04 Volvo Truck Corporation A method for a string comprising a plurality of platooning vehicles
US10152064B2 (en) 2016-08-22 2018-12-11 Peloton Technology, Inc. Applications for using mass estimations for vehicles
RU2674744C1 (en) * 2016-09-16 2018-12-12 ФОРД ГЛОУБАЛ ТЕКНОЛОДЖИЗ, ЭлЭлСи Interaction between vehicles for streamlining traffic
CN109151764A (en) * 2017-06-28 2019-01-04 电信科学技术研究院 A kind of information processing method, device, equipment and computer readable storage medium
CN109155102A (en) * 2016-04-04 2019-01-04 沃尔沃卡车集团 Automobile recognition methods
US10254764B2 (en) 2016-05-31 2019-04-09 Peloton Technology, Inc. Platoon controller state machine
WO2019068397A1 (en) * 2017-10-07 2019-04-11 Wabco Gmbh Method for performing emergency braking in a motor vehicle and emergency braking system for performing the method
WO2019072517A1 (en) * 2017-10-10 2019-04-18 Robert Bosch Gmbh Using a camera to assist forward vehicles in a caravan
US10369998B2 (en) 2016-08-22 2019-08-06 Peloton Technology, Inc. Dynamic gap control for automated driving
US10467907B2 (en) 2017-12-28 2019-11-05 Bendix Commercial Vehicle Systems Llc Initialization and safety maintenance strategy for platooning vehicles
US10474166B2 (en) 2011-07-06 2019-11-12 Peloton Technology, Inc. System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles
US10514706B2 (en) 2011-07-06 2019-12-24 Peloton Technology, Inc. Gap measurement for vehicle convoying
US10520581B2 (en) 2011-07-06 2019-12-31 Peloton Technology, Inc. Sensor fusion for autonomous or partially autonomous vehicle control
WO2020097486A1 (en) * 2018-11-08 2020-05-14 SafeAI, Inc. Performing tasks using autonomous machines
US10732645B2 (en) 2011-07-06 2020-08-04 Peloton Technology, Inc. Methods and systems for semi-autonomous vehicular convoys
US11011063B2 (en) * 2018-11-16 2021-05-18 Toyota Motor North America, Inc. Distributed data collection and processing among vehicle convoy members
US11164463B2 (en) 2017-12-29 2021-11-02 Bendix Commercial Vehicle Systems Llc Brake performance monitoring for vehicle platooning operation
US11294396B2 (en) 2013-03-15 2022-04-05 Peloton Technology, Inc. System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles
US11334092B2 (en) 2011-07-06 2022-05-17 Peloton Technology, Inc. Devices, systems, and methods for transmitting vehicle data
US11352004B2 (en) * 2019-12-04 2022-06-07 Hyundai Motor Company Vehicle travel control system and control method therefor
EP4195125A1 (en) * 2021-12-09 2023-06-14 Jungheinrich Aktiengesellschaft Logistics system, method for operating a logistics system and for transporting an industrial truck in a logistics system, upgrade kit and computer program product
US11713059B2 (en) 2021-04-22 2023-08-01 SafeAI, Inc. Autonomous control of heavy equipment and vehicles using task hierarchies
EP3132988B1 (en) * 2015-08-20 2024-10-09 Harman International Industries, Incorporated Systems and methods for driver assistance

Families Citing this family (142)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8300798B1 (en) 2006-04-03 2012-10-30 Wai Wu Intelligent communication routing system and method
US11835965B2 (en) * 2011-07-06 2023-12-05 Peloton Technology, Inc. Applications for using mass estimations for vehicles
US10520952B1 (en) 2011-07-06 2019-12-31 Peloton Technology, Inc. Devices, systems, and methods for transmitting vehicle data
WO2014073968A2 (en) * 2012-11-09 2014-05-15 Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno Vehicle spacing control
US10262542B2 (en) 2012-12-28 2019-04-16 General Electric Company Vehicle convoy control system and method
KR102124483B1 (en) 2014-05-12 2020-06-19 엘지전자 주식회사 Vehicle and method for controlling the same
US10078133B2 (en) 2014-08-15 2018-09-18 Aeye, Inc. Method and system for ladar transmission with closed loop feedback control of dynamic scan patterns
DE102015202216A1 (en) * 2014-09-19 2016-03-24 Robert Bosch Gmbh Method and device for operating a motor vehicle by specifying a desired speed
DE102014225804A1 (en) * 2014-12-15 2016-06-16 Bayerische Motoren Werke Aktiengesellschaft Assistance in driving a vehicle
EP3238964B1 (en) * 2014-12-26 2020-01-22 The Yokohama Rubber Co., Ltd. Tire state monitoring system
US9919640B2 (en) 2015-01-13 2018-03-20 Mark Allen BUCKINGHAM System and method for controlling dollies
WO2016134770A1 (en) * 2015-02-26 2016-09-01 Volvo Truck Corporation Method of controlling inter-vehicle gap(s) in a platoon
DE102015205032A1 (en) 2015-03-19 2016-09-22 Kuka Roboter Gmbh Vehicle network and method for forming and operating a vehicle network
US20160362048A1 (en) * 2015-06-09 2016-12-15 AWARE 360 Ltd. Self-monitoring of vehicles in a convoy
US11034443B2 (en) 2015-06-12 2021-06-15 Sunlight Aerospace Inc. Modular aircraft assembly for airborne and ground transport
US9714090B2 (en) * 2015-06-12 2017-07-25 Sunlight Photonics Inc. Aircraft for vertical take-off and landing
US10013883B2 (en) * 2015-06-22 2018-07-03 Digital Ally, Inc. Tracking and analysis of drivers within a fleet of vehicles
US10078338B2 (en) * 2015-08-26 2018-09-18 Peloton Technology, Inc. Devices, systems, and methods for remote authorization of autonomous vehicle operation
JP6265186B2 (en) * 2015-09-03 2018-01-24 トヨタ自動車株式会社 Automatic driving device
US20170083771A1 (en) * 2015-09-17 2017-03-23 David Clark Vehicle mounted side camera system
EP3351025B1 (en) * 2015-09-17 2020-04-08 Telefonaktiebolaget LM Ericsson (publ) Communication device, first radio node, second radio node, and methods therein, for determining whether to allow a first vehicle to overtake a vehicle platoon
US20160088427A1 (en) * 2015-11-30 2016-03-24 Caterpillar Inc. Linking machine components in bluetooth low energy system
DE102015225241A1 (en) * 2015-12-15 2017-06-22 Volkswagen Aktiengesellschaft Method and system for automatically controlling a following vehicle with a fore vehicle
WO2017134865A1 (en) * 2016-02-05 2017-08-10 日立マクセル株式会社 Head-up display device
US10782393B2 (en) 2016-02-18 2020-09-22 Aeye, Inc. Ladar receiver range measurement using distinct optical path for reference light
US10042159B2 (en) 2016-02-18 2018-08-07 Aeye, Inc. Ladar transmitter with optical field splitter/inverter
US20170242104A1 (en) 2016-02-18 2017-08-24 Aeye, Inc. Ladar Transmitter with Induced Phase Drift for Improved Gaze on Scan Area Portions
US9933513B2 (en) 2016-02-18 2018-04-03 Aeye, Inc. Method and apparatus for an adaptive ladar receiver
JP6565793B2 (en) * 2016-05-30 2019-08-28 株式会社デンソー Convoy travel system
GB2540039A (en) * 2016-06-03 2017-01-04 Daimler Ag Method for operating a vehicle as a following vehicle in a platoon
US10017179B2 (en) * 2016-06-06 2018-07-10 GM Global Technology Operations LLC Method for optimizing inter-vehicle distance and equitably sharing fuel benefits in a vehicle platoon
DE102016111447A1 (en) * 2016-06-22 2017-12-28 Terex Mhps Gmbh System for transporting containers, in particular ISO containers, by means of heavy-duty vehicles
DE102016111450A1 (en) 2016-06-22 2017-12-28 Terex Mhps Gmbh System for transporting containers, in particular ISO containers, by means of heavy-duty vehicles
US10737667B2 (en) * 2016-06-23 2020-08-11 Honda Motor Co., Ltd. System and method for vehicle control in tailgating situations
US10625742B2 (en) * 2016-06-23 2020-04-21 Honda Motor Co., Ltd. System and method for vehicle control in tailgating situations
US10081357B2 (en) 2016-06-23 2018-09-25 Honda Motor Co., Ltd. Vehicular communications network and methods of use and manufacture thereof
US10449962B2 (en) 2016-06-23 2019-10-22 Honda Motor Co., Ltd. System and method for vehicle control using vehicular communication
US10286913B2 (en) 2016-06-23 2019-05-14 Honda Motor Co., Ltd. System and method for merge assist using vehicular communication
US10059285B2 (en) * 2016-06-28 2018-08-28 Toyota Motor Engineering & Manufacturing North America, Inc. Device and/or system deactivation for energy efficiency improvements in vehicle
US10027024B2 (en) * 2016-06-29 2018-07-17 Denso International America, Inc. Antenna for vehicle platooning
US11107018B2 (en) 2016-07-15 2021-08-31 Cummins Inc. Method and apparatus for platooning of vehicles
US10392055B2 (en) * 2016-07-20 2019-08-27 GM Global Technology Operations LLC Turbulent air mitigation for vehicles
FR3054917A1 (en) * 2016-08-05 2018-02-09 Daher Technologies METHOD FOR CONTROLLING, GUIDING AND CONTROLLING A ROAD TRANSPORT CONVOY AND ITS IMPLEMENTING DEVICES
US10668823B2 (en) * 2016-08-09 2020-06-02 Nio Usa, Inc. Smart cruise control and ADAS for range extension
US10545508B2 (en) * 2016-08-31 2020-01-28 International Business Machines Corporation Managing synchronized movement of a set of vehicles
US9940840B1 (en) 2016-10-06 2018-04-10 X Development Llc Smart platooning of vehicles
US10185329B2 (en) * 2016-10-24 2019-01-22 GM Global Technology Operations LLC Methods and systems for vehicle-to-vehicle communication
US10635117B2 (en) 2016-10-25 2020-04-28 International Business Machines Corporation Traffic navigation for a lead vehicle and associated following vehicles
JP6532170B2 (en) * 2016-11-22 2019-06-19 本田技研工業株式会社 Vehicle control system, vehicle control method, and vehicle control program
US10482767B2 (en) 2016-12-30 2019-11-19 Bendix Commercial Vehicle Systems Llc Detection of extra-platoon vehicle intermediate or adjacent to platoon member vehicles
US10503176B2 (en) 2016-12-30 2019-12-10 Bendix Commercial Vehicle Systems Llc Self-ordering of fleet vehicles in a platoon
DE102017223364A1 (en) * 2017-01-04 2018-07-05 Honda Motor Co., Ltd. SYSTEM AND METHOD FOR VEHICLE CONTROL IN TERRITORY SITUATIONS
EP3582205B1 (en) * 2017-02-09 2024-06-12 Sony Semiconductor Solutions Corporation Travel assistance device, travel assistance management device and method therefor, and travel assistance system
US10379205B2 (en) 2017-02-17 2019-08-13 Aeye, Inc. Ladar pulse deconfliction method
DE102017002381A1 (en) 2017-03-11 2018-09-13 Wabco Gmbh Method for the wireless transmission of radio signals between vehicles of a platoon and communication device
CN108877199A (en) 2017-05-15 2018-11-23 华为技术有限公司 Control method, equipment and the car networking system of fleet
DE102017004741A1 (en) 2017-05-17 2018-11-22 Wabco Gmbh Control arrangement for adjusting a distance between two vehicles and method for adjusting a distance between two vehicles with such a control arrangement
US10074894B1 (en) 2017-05-22 2018-09-11 Peloton Technology, Inc. Transceiver antenna for vehicle side mirrors
US10986603B2 (en) * 2017-05-22 2021-04-20 Sony Corporation Method of clustering transportation units, transportation unit and computer program
US10857896B2 (en) * 2017-06-14 2020-12-08 Samuel Rutt Bridges Roadway transportation system
EP3418843B1 (en) * 2017-06-23 2021-03-17 Volkswagen Aktiengesellschaft Concept of coordinating an emergency braking of a platoon of communicatively coupled vehicles
WO2018236392A1 (en) 2017-06-23 2018-12-27 Cummins Inc. Variable engine braking for thermal management
US10220768B2 (en) * 2017-07-11 2019-03-05 Paccar Inc Platooning light fence system and method
US10017039B1 (en) * 2017-07-20 2018-07-10 Bendix Commercial Vehicle Systems Llc Vehicle platooning with a hybrid electric vehicle system
US20190033859A1 (en) * 2017-07-27 2019-01-31 Aptiv Technologies Limited Sensor failure compensation system for an automated vehicle
US10818189B2 (en) * 2017-07-31 2020-10-27 Ford Global Technologies, Llc Platooning vehicle order
US11048251B2 (en) * 2017-08-16 2021-06-29 Uatc, Llc Configuring motion planning for a self-driving tractor unit
JP6572271B2 (en) * 2017-09-13 2019-09-04 本田技研工業株式会社 VEHICLE CONTROL DEVICE, VEHICLE, PROCESSING METHOD AND PROGRAM FOR VEHICLE CONTROL DEVICE
CN111344647B (en) 2017-09-15 2024-08-02 艾耶股份有限公司 Intelligent laser radar system with low-delay motion planning update
US10698421B1 (en) 2017-09-25 2020-06-30 State Farm Mutual Automobile Insurance Company Dynamic autonomous vehicle train
US10948927B1 (en) * 2017-10-05 2021-03-16 State Farm Mutual Automobile Insurance Company Dynamic autonomous vehicle train
DE102017009310A1 (en) 2017-10-07 2019-04-11 Wabco Gmbh Method for adjusting an air handling system of a vehicle in a platoon and adjusting arrangement for carrying out the method
US10943490B2 (en) 2017-10-31 2021-03-09 Cummins, Inc. Platoon system for vehicles
WO2019089699A1 (en) * 2017-10-31 2019-05-09 Cummins Inc. Method and apparatus for adaptive platooning of vehicles for thermal management
US11022981B2 (en) 2017-10-31 2021-06-01 Cummins Inc. Control architecture for predictive and optimal vehicle operations in a single vehicle environment
KR102350092B1 (en) * 2017-11-13 2022-01-12 현대자동차주식회사 Apparatus for controlling cluster driving of vehicle and method thereof
DE102018001055A1 (en) * 2017-12-08 2019-06-13 Knorr-Bremse Systeme für Nutzfahrzeuge GmbH Method for triggering an automatic emergency braking operation in a vehicle convoy
KR102290055B1 (en) * 2017-12-08 2021-08-13 현대모비스 주식회사 Apparatus for controlling group driving and method thereof
KR102417905B1 (en) * 2017-12-11 2022-07-07 현대자동차주식회사 Apparatus and method for controlling platooning of leading vehicle
KR102406522B1 (en) 2017-12-12 2022-06-10 현대자동차주식회사 Apparatus for controlling platooning based-on weather environment, system having the same and method thereof
CN111492324A (en) * 2017-12-13 2020-08-04 福特全球技术公司 Mileage-based vehicle queue ranking
CN111727467B (en) 2017-12-14 2023-05-23 卡明斯公司 Interface for engine controller and train travel controller
MX2018016198A (en) * 2017-12-20 2019-10-14 Haldex Brake Products Corp Modular trailer system.
FR3076047B1 (en) * 2017-12-22 2021-01-08 Michelin & Cie PROCESS FOR MANAGING A PLATOON OF TRUCKS BASED ON INFORMATION RELATING TO THE TIRES EQUIPPING THE TRUCKS DUDIT PLATOON
KR102395308B1 (en) 2017-12-29 2022-05-09 현대자동차주식회사 Apparatus for controlling lamp of platooning vehicles and method thereof
US10818190B2 (en) * 2018-01-09 2020-10-27 Ford Global Technologies, Llc System and method for vehicle travelling in caravan mode
US10919444B2 (en) * 2018-01-24 2021-02-16 Peloton Technology, Inc. Systems and methods for providing information about vehicles
FR3078786A1 (en) 2018-03-08 2019-09-13 Orange METHOD FOR ADAPTING THE SPEED OF VEHICLES MOVING INTO CONVOY
JP2019159829A (en) * 2018-03-13 2019-09-19 本田技研工業株式会社 Vehicle control device, vehicle control method, and program
US11120693B2 (en) * 2018-04-17 2021-09-14 Blackberry Limited Providing inter-vehicle data communications for vehicular drafting operations
EP3567565A1 (en) * 2018-05-09 2019-11-13 Volkswagen AG Apparatus, method, computer program, base station and vehicle for providing information related to an approaching vehicle
US11454970B2 (en) * 2018-05-21 2022-09-27 Cummins Inc. Adjustment of autonomous vehicle control authority
US11854405B2 (en) 2018-06-06 2023-12-26 International Business Machines Corporation Performing vehicle logistics in a blockchain
DE102018210224A1 (en) * 2018-06-22 2019-12-24 Robert Bosch Gmbh Method and device for agreeing a cooperation between a first system and a second system
US11205026B2 (en) * 2018-06-25 2021-12-21 Toyota Research Institute, Inc. Benefit apportioning system and methods for vehicle platoons
US10899323B2 (en) 2018-07-08 2021-01-26 Peloton Technology, Inc. Devices, systems, and methods for vehicle braking
US10875496B2 (en) 2018-07-17 2020-12-29 Ford Global Technologies, Llc Vehicle load prediction
US10358082B1 (en) * 2018-07-26 2019-07-23 Kinney ASWD Holding Company, LLC Advanced warning lighting systems and methods
US10554521B1 (en) 2018-08-14 2020-02-04 Nxp B.V. Health monitoring of wireless connections among vehicles
US10607416B2 (en) 2018-08-30 2020-03-31 Valeo Comfort And Driving Assistance Conditional availability of vehicular mixed-reality
WO2020051492A2 (en) * 2018-09-06 2020-03-12 The Trustees Of Indiana University Caravanning autonomous vehicles
US20190051188A1 (en) * 2018-09-27 2019-02-14 Intel Corporation Technologies for on-demand ad hoc cooperation for autonomous vehicles in emergency situations
US20200125117A1 (en) * 2018-10-23 2020-04-23 Peloton Technology, Inc. Systems and methods for platooning and automation safety
US10762791B2 (en) 2018-10-29 2020-09-01 Peloton Technology, Inc. Systems and methods for managing communications between vehicles
WO2020096584A1 (en) 2018-11-07 2020-05-14 Google Llc Providing navigation instructions to one device in view of another device
US10906547B2 (en) * 2018-11-28 2021-02-02 Hyundai Motor Company Controlling engine idle sailing in a vehicle using relative vehicle speed
US10836313B2 (en) 2018-11-28 2020-11-17 Valeo Comfort And Driving Assistance Mixed reality view for enhancing pedestrian safety
JP2020087206A (en) * 2018-11-29 2020-06-04 株式会社日立製作所 Autonomous body system and control method therefor
KR102610748B1 (en) * 2018-12-07 2023-12-08 현대자동차주식회사 Apparatus and method for providing user interface for platooning of vehicle
KR20200083683A (en) * 2018-12-14 2020-07-09 현대자동차주식회사 Vehicle, Server communicating with the vehicle and method for controlling the same
US11367361B2 (en) * 2019-02-22 2022-06-21 Kyndryl, Inc. Emulating unmanned aerial vehicle (UAV)
US11011064B2 (en) 2019-03-05 2021-05-18 Denso International America, Inc. System and method for vehicle platooning
KR102645057B1 (en) * 2019-04-10 2024-03-11 현대자동차주식회사 Apparatus and method for outputting platooning information of vehicle
US11427196B2 (en) 2019-04-15 2022-08-30 Peloton Technology, Inc. Systems and methods for managing tractor-trailers
US11287834B2 (en) 2019-04-15 2022-03-29 Hyundai Motor Company Platooning controller, system including the same, and method thereof
DE102019205480A1 (en) * 2019-04-16 2020-10-22 Robert Bosch Gmbh Method for operating a team, team, convoy
JP7303667B2 (en) * 2019-05-31 2023-07-05 株式会社Subaru Automated driving support device
EP3798075B1 (en) * 2019-09-25 2023-08-02 Ningbo Geely Automobile Research & Development Co. Ltd. A method for driving a vehicle platoon
US11320838B2 (en) * 2019-10-09 2022-05-03 Logan A. Lopez Concerted autonomous vehicle collision avoidance
DE102019128783A1 (en) * 2019-10-24 2021-04-29 Audi Ag Method for operating several motor vehicles and motor vehicle
US11883960B2 (en) * 2019-10-31 2024-01-30 Nippon Telegraph And Telephone Corporation Moving robot, moving robot control method and program therefor
US11650060B2 (en) * 2019-11-05 2023-05-16 International Business Machines Corporation Coordination management of multiple vehicles
US11027650B2 (en) 2019-11-07 2021-06-08 Nio Usa, Inc. Method and apparatus for improving operation of a motor vehicle
CN113044032B (en) * 2019-12-26 2021-11-05 北汽福田汽车股份有限公司 Vehicle running power control method and device and vehicle
US20210325200A1 (en) * 2020-04-20 2021-10-21 Polaris Industries Inc. Systems and methods for communicating information
CN114179801A (en) * 2020-08-24 2022-03-15 均联智行有限公司 Determining an optimal distance between two vehicles
CN112099505B (en) * 2020-09-17 2021-09-28 湖南大学 Low-complexity visual servo formation control method for mobile robot
EP4002048A1 (en) 2020-11-12 2022-05-25 Volvo Truck Corporation Method for reducing air resistance for a vehicle
US11604264B2 (en) 2021-03-26 2023-03-14 Aeye, Inc. Switchable multi-lens Lidar receiver
US11493610B2 (en) 2021-03-26 2022-11-08 Aeye, Inc. Hyper temporal lidar with detection-based adaptive shot scheduling
US11467263B1 (en) 2021-03-26 2022-10-11 Aeye, Inc. Hyper temporal lidar with controllable variable laser seed energy
US11630188B1 (en) 2021-03-26 2023-04-18 Aeye, Inc. Hyper temporal lidar with dynamic laser control using safety models
US11500093B2 (en) 2021-03-26 2022-11-15 Aeye, Inc. Hyper temporal lidar using multiple matched filters to determine target obliquity
US11635495B1 (en) 2021-03-26 2023-04-25 Aeye, Inc. Hyper temporal lidar with controllable tilt amplitude for a variable amplitude scan mirror
US20220308219A1 (en) 2021-03-26 2022-09-29 Aeye, Inc. Hyper Temporal Lidar with Controllable Detection Intervals Based on Environmental Conditions
WO2022221353A1 (en) * 2021-04-14 2022-10-20 Locomation, Inc. Segmented relay transportation network
US11673579B1 (en) * 2022-03-30 2023-06-13 Plusai, Inc. Controlling a vehicle based on data processing for a faulty tire
CN114924562B (en) * 2022-05-17 2023-07-07 厦门金龙联合汽车工业有限公司 Calculation method of track target point for vehicle formation
US11950017B2 (en) 2022-05-17 2024-04-02 Digital Ally, Inc. Redundant mobile video recording
US20240005566A1 (en) * 2022-07-01 2024-01-04 State Farm Mutual Automobile Insurance Company VR Environment for Real-time Road Conditions
US12073010B2 (en) * 2022-07-01 2024-08-27 State Farm Mutual Automobile Insurance Company VR environment for accident reconstruction
US11790776B1 (en) 2022-07-01 2023-10-17 State Farm Mutual Automobile Insurance Company Generating virtual reality (VR) alerts for challenging streets

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004077378A1 (en) * 2003-02-25 2004-09-10 Philips Intellectual Property & Standards Gmbh Method and system for leading a plurality of vehicles
EP0991046B1 (en) * 1998-09-30 2005-03-30 Honda Giken Kogyo Kabushiki Kaisha Automatic vehicle following control system
US20090012666A1 (en) * 2007-07-06 2009-01-08 Simpson Rich C Powered vehicle convoying systems and methods of convoying powered vehicles
US20100256852A1 (en) * 2009-04-06 2010-10-07 Gm Global Technology Operations, Inc. Platoon vehicle management
WO2013006826A2 (en) * 2011-07-06 2013-01-10 Peloton Technology Inc. Systems and methods for semi-autonomous vehicular convoying

Family Cites Families (78)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2995970B2 (en) 1991-12-18 1999-12-27 トヨタ自動車株式会社 Travel control device for vehicles
US5331561A (en) 1992-04-23 1994-07-19 Alliant Techsystems Inc. Active cross path position correlation device
US5572449A (en) 1994-05-19 1996-11-05 Vi&T Group, Inc. Automatic vehicle following system
JP3358403B2 (en) 1995-09-11 2002-12-16 トヨタ自動車株式会社 Platoon running control device
US6125321A (en) 1996-06-07 2000-09-26 Toyota Jidosha Kabushiki Kaisha Motor vehicle drive system controller and automatic drive controller
JP3732292B2 (en) 1996-11-27 2006-01-05 本田技研工業株式会社 Vehicle group running control system
US8255144B2 (en) * 1997-10-22 2012-08-28 Intelligent Technologies International, Inc. Intra-vehicle information conveyance system and method
DE19849583B4 (en) 1997-10-27 2009-06-18 Nissan Motor Co., Ltd., Yokohama-shi System and method for controlling a distance between vehicles
JP2000085407A (en) 1998-07-17 2000-03-28 Denso Corp Vehicle-to-vehicle control device and recording medium
DE19936586B4 (en) 1998-08-04 2015-04-09 Denso Corporation Apparatus and method for controlling a desired distance and a warning distance between two moving vehicles and data carriers for storing the control method
DE10024739A1 (en) 1999-05-21 2000-12-07 Honda Motor Co Ltd Vehicle convoy travel mode control device transmits request to join existing convoy or break away from convoy to convoy lead vehicle and switches between manual and automatic control modes upon request recognition
JP4082831B2 (en) 1999-10-26 2008-04-30 株式会社小松製作所 Vehicle control device
US6510381B2 (en) 2000-02-11 2003-01-21 Thomas L. Grounds Vehicle mounted device and a method for transmitting vehicle position data to a network-based server
MXPA03004611A (en) 2000-11-30 2004-10-14 Pirelli System and method for monitoring tyres.
JP2002190091A (en) 2000-12-20 2002-07-05 Pioneer Electronic Corp Traveling time setting method and device, method and device for calculating route using it
JP3838048B2 (en) 2001-04-16 2006-10-25 日産自動車株式会社 Vehicle travel control device
JP4703917B2 (en) 2001-09-10 2011-06-15 コマツレンタル株式会社 Rental system and rental business support method
US20130317676A1 (en) 2012-05-23 2013-11-28 Jared Klineman Cooper System and method for inspecting a route during movement of a vehicle system over the route
US6963795B2 (en) 2002-07-16 2005-11-08 Honeywell Interntaional Inc. Vehicle position keeping system
JP4076071B2 (en) 2002-08-19 2008-04-16 アルパイン株式会社 Communication method and vehicle communication apparatus between moving bodies
WO2004038335A1 (en) 2002-10-22 2004-05-06 Hitachi, Ltd. Map data delivering method for communication-type navigation system
JP2004217175A (en) 2003-01-17 2004-08-05 Toyota Motor Corp Vehicle-to-vehicle distance control device
WO2005123502A2 (en) 2003-12-12 2005-12-29 Advanced Ceramics Research, Inc. Unmanned vehicle
EP1734339B1 (en) 2004-03-29 2012-12-19 Hitachi, Ltd. Navigation system and course guiding method
US8903617B2 (en) 2004-10-05 2014-12-02 Vision Works Ip Corporation Absolute acceleration sensor for use within moving vehicles
US7715965B2 (en) * 2004-10-15 2010-05-11 Ford Global Technologies System and method for qualitatively determining vehicle loading conditions
JP2006131055A (en) 2004-11-04 2006-05-25 Denso Corp Vehicle traveling controlling device
EP1681663B1 (en) * 2005-01-14 2007-08-01 Alcatel Lucent Navigation service
WO2007084147A2 (en) 2005-02-02 2007-07-26 Raytheon Company System for situational awareness
US7593811B2 (en) 2005-03-31 2009-09-22 Deere & Company Method and system for following a lead vehicle
US8442735B2 (en) 2005-06-15 2013-05-14 Ford Global Technologies, Llc Traction control system and method
US7894982B2 (en) 2005-08-01 2011-02-22 General Motors Llc Method and system for linked vehicle navigation
US20070233337A1 (en) 2005-09-14 2007-10-04 Plishner Paul J Semi-autonomous guidance system for a vehicle
JP4720457B2 (en) 2005-11-22 2011-07-13 アイシン・エィ・ダブリュ株式会社 Vehicle driving support method and driving support device
US8000874B2 (en) 2006-03-10 2011-08-16 Nissan Motor Co., Ltd. Vehicle headway maintenance assist system and method
US9373149B2 (en) 2006-03-17 2016-06-21 Fatdoor, Inc. Autonomous neighborhood vehicle commerce network and community
US20070244641A1 (en) * 2006-04-17 2007-10-18 Gm Global Technology Operations, Inc. Active material based haptic communication systems
WO2007143757A2 (en) 2006-06-09 2007-12-13 Carnegie Mellon University Software architecture for high-speed traversal of prescribed routes
US8139109B2 (en) 2006-06-19 2012-03-20 Oshkosh Corporation Vision system for an autonomous vehicle
US8947531B2 (en) 2006-06-19 2015-02-03 Oshkosh Corporation Vehicle diagnostics based on information communicated between vehicles
US7554435B2 (en) 2006-09-07 2009-06-30 Nissan Technical Center North America, Inc. Vehicle on-board unit
US8532862B2 (en) * 2006-11-29 2013-09-10 Ryan A. Neff Driverless vehicle
EP2145288A4 (en) 2007-03-05 2013-09-04 Digitaloptics Corp Europe Ltd Red eye false positive filtering using face location and orientation
US20080249667A1 (en) 2007-04-09 2008-10-09 Microsoft Corporation Learning and reasoning to enhance energy efficiency in transportation systems
US20090062974A1 (en) 2007-09-03 2009-03-05 Junichi Tamamoto Autonomous Mobile Robot System
US20090157461A1 (en) 2007-12-12 2009-06-18 Honeywell International Inc. Vehicle deployment planning system
US8090517B2 (en) 2007-12-19 2012-01-03 Nissan Motor Co., Ltd. Inter-vehicle distance maintenance supporting system and method
US8285456B2 (en) 2008-02-29 2012-10-09 Caterpillar Inc. System for controlling a multimachine caravan
US8214122B2 (en) * 2008-04-10 2012-07-03 GM Global Technology Operations LLC Energy economy mode using preview information
FR2931984B1 (en) 2008-06-02 2014-12-12 Airbus France METHOD AND APPARATUS FOR GENERATING A CONTROLLED SPEED FOR AN AIRCRAFT RUNNING ON THE GROUND WITHIN AN AIRCRAFT CONVOY.
JP2010030525A (en) 2008-07-30 2010-02-12 Toyota Motor Corp Travel support device
US8116921B2 (en) 2008-08-20 2012-02-14 Autonomous Solutions, Inc. Follower vehicle control system and method for forward and reverse convoy movement
US20100082179A1 (en) 2008-09-29 2010-04-01 David Kronenberg Methods for Linking Motor Vehicles to Reduce Aerodynamic Drag and Improve Fuel Economy
JP5195930B2 (en) 2009-01-20 2013-05-15 トヨタ自動車株式会社 Convoy travel control system and vehicle
KR100957137B1 (en) 2009-02-26 2010-05-11 한국과학기술원 System and method for controlling group driving
US8224551B2 (en) 2009-03-24 2012-07-17 Bendix Commercial Vehicle Systems Llc ACC extended mode operation
JP5170008B2 (en) 2009-06-22 2013-03-27 Jfeエンジニアリング株式会社 Welding line scanning control method and apparatus
US8380362B2 (en) 2009-07-10 2013-02-19 The Boeing Company Systems and methods for remotely collaborative vehicles
US8397063B2 (en) 2009-10-07 2013-03-12 Telcordia Technologies, Inc. Method for a public-key infrastructure for vehicular networks with limited number of infrastructure servers
US8738238B2 (en) * 2009-11-12 2014-05-27 Deere & Company Coordination of vehicle movement in a field
US9145137B2 (en) 2010-04-07 2015-09-29 Toyota Jidosha Kabushiki Kaisha Vehicle driving-support apparatus
JP5585177B2 (en) 2010-04-12 2014-09-10 トヨタ自動車株式会社 Leading vehicle position determination device
EP2390744B1 (en) 2010-05-31 2012-11-14 Volvo Car Corporation Control system for travel in a platoon
US9582006B2 (en) 2011-07-06 2017-02-28 Peloton Technology, Inc. Systems and methods for semi-autonomous convoying of vehicles
JP5533810B2 (en) 2011-07-23 2014-06-25 株式会社デンソー Follow-up control device
US9165470B2 (en) 2011-07-25 2015-10-20 GM Global Technology Operations LLC Autonomous convoying technique for vehicles
JP5472248B2 (en) 2011-09-27 2014-04-16 株式会社デンソー Convoy travel device
JP5949366B2 (en) 2012-09-13 2016-07-06 トヨタ自動車株式会社 Road traffic control method, road traffic control system and in-vehicle terminal
US20140309836A1 (en) 2013-04-16 2014-10-16 Neya Systems, Llc Position Estimation and Vehicle Control in Autonomous Multi-Vehicle Convoys
FR3006088B1 (en) 2013-05-27 2015-11-27 Renault Sas DEVICE FOR ESTIMATING THE PERMANENT MODE OF OPERATION OF A MOTOR VEHICLE AND ASSOCIATED METHOD
SE537603C2 (en) 2013-09-30 2015-07-21 Scania Cv Ab Method and system for handling obstacles for vehicle trains
DE112014005106T5 (en) 2013-11-08 2016-08-25 Honda Motor Co., Ltd. Column drive control device
JP6042794B2 (en) 2013-12-03 2016-12-14 本田技研工業株式会社 Vehicle control method
US9079587B1 (en) 2014-02-14 2015-07-14 Ford Global Technologies, Llc Autonomous control in a dense vehicle environment
US9731732B2 (en) 2014-03-09 2017-08-15 General Electric Company Systems and methods for vehicle control
DE102014013672B4 (en) 2014-09-16 2022-08-11 Mercedes-Benz Group AG Method and system for securing autonomous or semi-autonomous operation of vehicles on a traffic route network
WO2016090282A1 (en) 2014-12-05 2016-06-09 Cowbyt Technologies Llc Autonomous navigation system
US9964948B2 (en) 2016-04-20 2018-05-08 The Florida International University Board Of Trustees Remote control and concierge service for an autonomous transit vehicle fleet

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0991046B1 (en) * 1998-09-30 2005-03-30 Honda Giken Kogyo Kabushiki Kaisha Automatic vehicle following control system
WO2004077378A1 (en) * 2003-02-25 2004-09-10 Philips Intellectual Property & Standards Gmbh Method and system for leading a plurality of vehicles
US20090012666A1 (en) * 2007-07-06 2009-01-08 Simpson Rich C Powered vehicle convoying systems and methods of convoying powered vehicles
US20100256852A1 (en) * 2009-04-06 2010-10-07 Gm Global Technology Operations, Inc. Platoon vehicle management
WO2013006826A2 (en) * 2011-07-06 2013-01-10 Peloton Technology Inc. Systems and methods for semi-autonomous vehicular convoying

Cited By (54)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11334092B2 (en) 2011-07-06 2022-05-17 Peloton Technology, Inc. Devices, systems, and methods for transmitting vehicle data
US10520581B2 (en) 2011-07-06 2019-12-31 Peloton Technology, Inc. Sensor fusion for autonomous or partially autonomous vehicle control
US10474166B2 (en) 2011-07-06 2019-11-12 Peloton Technology, Inc. System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles
US10514706B2 (en) 2011-07-06 2019-12-24 Peloton Technology, Inc. Gap measurement for vehicle convoying
US10234871B2 (en) 2011-07-06 2019-03-19 Peloton Technology, Inc. Distributed safety monitors for automated vehicles
US10732645B2 (en) 2011-07-06 2020-08-04 Peloton Technology, Inc. Methods and systems for semi-autonomous vehicular convoys
US10216195B2 (en) 2011-07-06 2019-02-26 Peloton Technology, Inc. Applications for using mass estimations for vehicles
US11294396B2 (en) 2013-03-15 2022-04-05 Peloton Technology, Inc. System and method for implementing pre-cognition braking and/or avoiding or mitigation risks among platooning vehicles
EP3210090A4 (en) * 2014-10-21 2018-07-11 Road Trains LLC Platooning control via accurate synchronization
US10488869B2 (en) 2014-10-21 2019-11-26 Road Trains Llc Platooning control via accurate synchronization
DE112016001079B4 (en) 2015-04-10 2023-10-26 Scania Cv Ab Apparatus and method for classifying road sections based on their suitability for platooning
WO2016163929A1 (en) * 2015-04-10 2016-10-13 Scania Cv Ab Device and method for classification of road segments based on their suitability for platooning
WO2017003341A1 (en) * 2015-07-01 2017-01-05 Scania Cv Ab Method and system for alerting a driver in a follower vehicle
EP3132988B1 (en) * 2015-08-20 2024-10-09 Harman International Industries, Incorporated Systems and methods for driver assistance
EP3341924A4 (en) * 2015-08-26 2019-02-20 Peloton Technology Inc. Devices systems and methods for vehicle monitoring and platooning
CN108140310A (en) * 2015-08-26 2018-06-08 佩路通科技股份有限公司 For vehicle monitoring and the device formed into columns, system and method
WO2017035516A1 (en) 2015-08-26 2017-03-02 Peloton Technology, Inc. Devices systems and methods for vehicle monitoring and platooning
US10062290B2 (en) 2015-12-16 2018-08-28 Ford Global Technologies, Llc Convoy vehicle look-ahead
GB2545571A (en) * 2015-12-16 2017-06-21 Ford Global Tech Llc Convoy vehicle look-ahead
US9632507B1 (en) 2016-01-29 2017-04-25 Meritor Wabco Vehicle Control Systems System and method for adjusting vehicle platoon distances based on predicted external perturbations
US11004344B2 (en) 2016-04-04 2021-05-11 Volvo Truck Corporation Method for vehicle identification
CN109155102B (en) * 2016-04-04 2021-10-08 沃尔沃卡车集团 Automobile identification method
CN109155102A (en) * 2016-04-04 2019-01-04 沃尔沃卡车集团 Automobile recognition methods
US10254764B2 (en) 2016-05-31 2019-04-09 Peloton Technology, Inc. Platoon controller state machine
EP3465371A4 (en) * 2016-05-31 2019-12-18 Peloton Technology Inc. Platoon controller state machine
CN110382323A (en) * 2016-08-22 2019-10-25 佩路通科技股份有限公司 The application estimated using the quality of vehicle
US10369998B2 (en) 2016-08-22 2019-08-06 Peloton Technology, Inc. Dynamic gap control for automated driving
CN110382323B (en) * 2016-08-22 2024-03-01 佩路通科技股份有限公司 Application using mass estimation of a vehicle
US10152064B2 (en) 2016-08-22 2018-12-11 Peloton Technology, Inc. Applications for using mass estimations for vehicles
US10906544B2 (en) 2016-08-22 2021-02-02 Peloton Technology, Inc. Dynamic gap control for automated driving
US10921822B2 (en) 2016-08-22 2021-02-16 Peloton Technology, Inc. Automated vehicle control system architecture
RU2674744C1 (en) * 2016-09-16 2018-12-12 ФОРД ГЛОУБАЛ ТЕКНОЛОДЖИЗ, ЭлЭлСи Interaction between vehicles for streamlining traffic
US10089882B2 (en) 2016-09-21 2018-10-02 Wabco Europe Bvba Method for controlling an own vehicle to participate in a platoon
WO2018054518A1 (en) * 2016-09-21 2018-03-29 Wabco Europe Bvba Method for controlling an own vehicle to participate in a platoon
WO2018085107A1 (en) * 2016-11-02 2018-05-11 Peloton Technology, Inc. Gap measurement for vehicle convoying
JP2020500367A (en) * 2016-11-02 2020-01-09 ぺロトン テクノロジー インコーポレイテッド Gap measurement for vehicle platoons
JP7152395B2 (en) 2016-11-02 2022-10-12 ぺロトン テクノロジー インコーポレイテッド Gap measurement for vehicle platoons
WO2018124987A1 (en) * 2016-12-28 2018-07-05 Tty Motorlu Araclar Turizm Tasimacilik Insaat Tekstil Elektronik Bilisim Sanayi Ve Ticaret Limited Sirketi Modular safe driving assistant
WO2018177605A1 (en) * 2017-03-28 2018-10-04 Volvo Truck Corporation A method for a string comprising a plurality of platooning vehicles
WO2018177507A1 (en) * 2017-03-28 2018-10-04 Volvo Truck Corporation A method for a string comprising a plurality of platooning vehicles
US11328608B2 (en) 2017-03-28 2022-05-10 Volvo Truck Corporation Method for controlling the braking of a following vehicle of a string comprising a plurality of platooning vehicles
CN110476193B (en) * 2017-03-28 2022-06-14 沃尔沃卡车集团 Method for a queue comprising a plurality of queued vehicles
CN109151764A (en) * 2017-06-28 2019-01-04 电信科学技术研究院 A kind of information processing method, device, equipment and computer readable storage medium
WO2019068397A1 (en) * 2017-10-07 2019-04-11 Wabco Gmbh Method for performing emergency braking in a motor vehicle and emergency braking system for performing the method
US10929689B2 (en) 2017-10-10 2021-02-23 Robert Bosch Gmbh Using a camera to assist forward vehicles in a caravan
WO2019072517A1 (en) * 2017-10-10 2019-04-18 Robert Bosch Gmbh Using a camera to assist forward vehicles in a caravan
US10467907B2 (en) 2017-12-28 2019-11-05 Bendix Commercial Vehicle Systems Llc Initialization and safety maintenance strategy for platooning vehicles
US11164463B2 (en) 2017-12-29 2021-11-02 Bendix Commercial Vehicle Systems Llc Brake performance monitoring for vehicle platooning operation
US11874671B2 (en) 2018-11-08 2024-01-16 SafeAI, Inc. Performing tasks using autonomous machines
WO2020097486A1 (en) * 2018-11-08 2020-05-14 SafeAI, Inc. Performing tasks using autonomous machines
US11011063B2 (en) * 2018-11-16 2021-05-18 Toyota Motor North America, Inc. Distributed data collection and processing among vehicle convoy members
US11352004B2 (en) * 2019-12-04 2022-06-07 Hyundai Motor Company Vehicle travel control system and control method therefor
US11713059B2 (en) 2021-04-22 2023-08-01 SafeAI, Inc. Autonomous control of heavy equipment and vehicles using task hierarchies
EP4195125A1 (en) * 2021-12-09 2023-06-14 Jungheinrich Aktiengesellschaft Logistics system, method for operating a logistics system and for transporting an industrial truck in a logistics system, upgrade kit and computer program product

Also Published As

Publication number Publication date
US20190346861A1 (en) 2019-11-14
WO2014145918A9 (en) 2014-12-04
US20190346863A1 (en) 2019-11-14
US10481614B2 (en) 2019-11-19
US9645579B2 (en) 2017-05-09
CA2907452A1 (en) 2014-09-18
US20190346864A1 (en) 2019-11-14
US20160054735A1 (en) 2016-02-25
US20170308097A1 (en) 2017-10-26

Similar Documents

Publication Publication Date Title
US10481614B2 (en) Vehicle platooning systems and methods
US10732645B2 (en) Methods and systems for semi-autonomous vehicular convoys
US11614752B2 (en) Vehicle platooning systems and methods
US12066836B2 (en) Detecting general road weather conditions
WO2013006826A2 (en) Systems and methods for semi-autonomous vehicular convoying
JP6051162B2 (en) System and method for predicting the behavior of detected objects
US20240126271A1 (en) Methods and systems for semi-autonomous vehicular convoys

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14765179

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2907452

Country of ref document: CA

NENP Non-entry into the national phase

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 14855044

Country of ref document: US

122 Ep: pct application non-entry in european phase

Ref document number: 14765179

Country of ref document: EP

Kind code of ref document: A1