A server-based system for generating a map for storing a turn signal activation location along a road segment may include at least one processor comprising circuitry and a memory. The memory may include instructions that when executed by the circuitry cause the at least one processor to receive drive information from each of a plurality of vehicles that traversed a road segment, wherein the drive information includes turn signal activation information indicating a detected change in state of a turn signal of at least one target vehicle and a location where the detected change in state of the turn signal of the target vehicle occurred; aggregate the turn signal activation information from two or more of the plurality of vehicles to generate a refined location of a turn signal activation location associated with the road segment; store an indicator of the refined location of the turn signal activation location in a map; store an indicator of the refined location of the turn signal activation location in a map; and distribute the map to one or more vehicles that later traverse the road segment.

A method comprises determining a vectorized representation of positions of road agents and road geometry based on sensor data from a vehicle, inputting the vectorized representation of the positions of the road agents and the road geometry into a trained transformer network, predicting one or more road agent trajectories at one or more future time steps based on an output of the transformer network, predicting an acceleration of the vehicle at the one or more future time steps based on the predicted one or more road agent trajectories at the one or more future time steps, and causing the vehicle to perform the predicted acceleration at the one or more future time steps.

A database of high risk locations is formed and high risk causal factors for the high risk locations determined. Driver behavior is monitored at the sites in the database using data collection devices such as electronic logging devices or mobile phones to see if the drivers exhibit the same specific behaviors that are considered contributing factors to specific accident types at risk of occurrence at those sites. Warnings are provided to drivers approaching the specific sites to prompt behavioral changes which may further be monitored by the data collection devices.

Disclosed herein are an apparatus and method for providing a customized traffic guidance service. The method may include acquiring data about one or more nearby objects, detecting surrounding traffic conditions based on the data about the nearby objects, determining whether to provide a customized traffic guidance service, selecting one or more target objects to which the customized traffic guidance service is to be provided and guidance information to be provided to each of the target objects, generating a customized traffic guidance message for the selected guidance information, and transmitting the customized traffic guidance message to the corresponding target object.

A method for regulating traffic emissions across a street network comprises calculating, by an external control entity, a real-time location-dependent immission load across the street network based on at least one of environmental data, traffic data and configuration data of the street network, providing, by motor vehicles using the street network, navigation data characterizing a route of each respective motor vehicle along the street network and emission data characterizing exhaust emission levels of each respective motor vehicle along its route, and calculating an optimized driving route for each motor vehicle along the street network based on the calculated immission load and the exhaust emission levels of the motor vehicles. The optimized driving route is calculated by the external control entity and transmitted to each motor vehicle via a wireless communication network, or wherein the optimized driving route is calculated by an internal control unit of each respective motor vehicle.

Techniques are described for dynamically selecting vehicles to perform road friction probing maneuvers and estimating road friction based on sensor data collected while a vehicle performs the road friction probing maneuvers. In one example, a computing system is configured to select, from a plurality of vehicles, based on an amount of elapsed time since each respective vehicle of the plurality of vehicles has performed a road friction probing maneuver, a vehicle to perform the road friction probing maneuver within a road segment of a roadway, and responsive to selecting the vehicle, output, to the vehicle, a command causing the vehicle to perform the road friction probing maneuver within the road segment.

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.

A method is provided for controlling a passage along a single-track roadway section, wherein confrontational meetings of vehicles moving in opposite directions of travel are avoided through speed adjustment and use of stopping facilities within the single-track roadway section. A system and a vehicle for carrying out the method are further provided.

According to one embodiment, a method, computer system, and computer program product for using mobile devices for anomaly detection in a vehicle. The present invention may include a computer receives sensor data from at least one mobile device associated with the vehicle, where the mobile device having one or more sensors. The computer analyzes data from the one or more sensors to identify an anomaly associated with the vehicle. The computer identifies a message associated with the anomaly. The computer determines an urgency value of the message based on the anomaly. The computer transfers the message with the urgency value to the vehicle and causes the vehicle to notify the message using a vehicle notification device.