Methods and systems for notifying a driver of a first vehicle of obstacles discouraging passing of a second vehicle in front of the first vehicle. The system includes a sensor of the second vehicle configured to detect spatial data in proximity of the second vehicle. The system also includes an electronic control unit (ECU) of the first vehicle. The ECU is configured to receive the spatial data from a transceiver of the second vehicle. The ECU is also configured to determine obstacle data based on the spatial data, the obstacle data identifying a presence of obstacles ahead of the second vehicle discouraging passing of the second vehicle by the first vehicle. The ECU is also configured to provide a notification to the driver of the first vehicle when the obstacle data indicates the presence of obstacles ahead of the second vehicle.

A user equipment (UE) in a vehicle, or a road side unit, may broadcast an inter-vehicle message for a driving maneuver to be executed by the vehicle. The inter-vehicle message may be a coordinated driving maneuver request requiring acceptance from another vehicle or an informational message for the intended driving maneuver. The inter-vehicle message includes a temporal execution window defining a range of time during which the driving maneuver will be initiated. A temporal window defining a range of time during which the driving maneuver will be completed may also be included. A spatial window defining a range of distance for a start and/or stop location for the driving maneuver may also be completed. The vehicle may execute the driving maneuver within the temporal execution window, e.g., if a driving maneuver response is received before the expiration of the temporal execution window, and will otherwise cancel the driving maneuver.

Embodiments of the present disclosure relates to dynamic virtual platoon. According to embodiments of the present disclosure, a first device receives driving information from vehicles and forwards the driving information to a network device. The second device determines the vehicle platoon based on the driving information and transmits the information related to the vehicle platoon to the first device. The first device determines control information to remotely drive the vehicles. In this way, the coverage of the vehicle platoon is increased and a dynamic platoon is formed. The first device controls the driving of the vehicles instead of the head vehicle, which reduces burden on the head vehicle.

The present invention relates to a method of cooperatively coordinating future driving maneuvers of a vehicle with fellow maneuvers of at least one fellow vehicle, wherein trajectories for the vehicle are rated with an effort value each, trajectories and fellow trajectories of the fellow vehicle are combined into tuples, the trajectory and the associated effort value of a collision-free tuple are selected as reference trajectory and reference effort value, trajectories with a lower effort value than the reference effort value are classified as demand trajectories, trajectories with higher effort value than the reference effort value are classified as alternative trajectories, and a data packet having a trajectory set consisting of the reference trajectory and the associated reference effort value as well as at least one trajectory from a group comprising the demand trajectories and the alternative trajectories as well as the respective effort values is transmitted to the fellow vehicle.

Provided is a position estimation device capable of highly accurate position estimation. A position estimation device 1 of the present invention is the position estimation device 1 which estimates a current position of a moving object 100 equipped with an imaging device 12, estimates the current position of the moving object 100, create a plurality of virtual positions based on the current position, creates virtual images at the plurality of virtual positions, respectively, compares the plurality of virtual images with an actual image to calculate a comparison error, calculates a weight based on at least one of information acquired by the imaging device 12 and information of a current position error of the moving object, performs weighting on the comparison error using the weight, and corrects the current position based on the comparison error to be weighted.

A traffic control system for an automatic driving vehicle includes a vehicle control system and a management and control system. The management and control system collects snow removal information by a snow removal information collector, and calculates traveling environment information of the snow-removed area by a snow-removed area traveling environment information calculator. The vehicle control system performs, by a first automatic driving controller, first automatic driving control that is made redundant by a control system based on map information and location information and by a control system based on external environment recognition information. The vehicle control system performs, by a second automatic driving controller, second automatic driving control that is made redundant by a control system based on the location information and the map information corrected using the traveling environment information of the snow-removed area and by a control system based on the external environment recognition information.

An example operation includes one or more of receiving, via a transport, a transport audio, classifying, via the transport, a subset of the transport audio as an atypical transport audio, determining, via the transport, a possible source location of the atypical transport audio, transmitting, via the transport, the atypical transport audio and the possible source location to a server, determining, via the server, a set of potential causes of the atypical transport audio and receiving, via the transport, the set of potential causes of the atypical transport audio.

Provided herein is a system of a vehicle that comprises one or more sensors, one or more processors, and memory storing instructions that, when executed by the one or more processors, causes the system to perform: selecting a trajectory along a route of the vehicle; predicting a trajectory of another object along the route; adjusting the selected trajectory based on a predicted change, in response to adjusting the selected trajectory, to the predicted trajectory of the another object, the predicted change to the predicted trajectory of the another object being stored in a model; determining an actual change, in response to adjusting the selected trajectory, to a trajectory of the another object, in response to an interaction between the vehicle and the another object; updating the model based on the determined actual change to the trajectory of the another object; and selecting a future trajectory based on the updated model.

A device may receive a message identifying an incident associated with a vehicle and may forgo rebroadcast of the message when the message was previously received. The device may store the message when the message was not previously received and may calculate a distance from the device to the vehicle based on a received power associated with the message. The device may determine whether to stop rebroadcasting the message based on a stop condition and based on the distance or a current location of the device and may calculate a particular coverage area of a rebroadcasted message based on coverage areas of the device and the vehicle. The device may determine, based on not determining to stop rebroadcasting the message and based on the distance or the particular coverage area, a delay time to wait before rebroadcasting the message and may rebroadcast the message after the delay time expires.

Systems and methods for determining the performance of a driver of a vehicle based on changes, over time, in the context and environment in which the vehicle operates, and any resultant driver behavior are disclosed. A set of driver response data is created from based on an analysis of time-series data indicative of the driver's operation of the vehicle in conjunction with time-series data indicative of changes in the vehicle's context/environment. The driver response data indicates the types and magnitudes of the driver's responses to various changes in the vehicle's operating context/environment and the driver's time-to-respond for each of the responses. That is, the driver response data indicates how a driver compensated his or her behavior (if at all) in response to different changes in the vehicle's context and/or environment. The driver response data may be compared to one or more thresholds to determine the driver's performance.