Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may transmit a maneuver message for a maneuver of a vehicle associated with the UE; perform a negotiation, with one or more other UEs, associated with the maneuver message, wherein the negotiation includes at least one of: indicating, in the maneuver message, one or more remote vehicle maneuvers, or receiving, from a UE of the one or more other UEs, a response to the maneuver message indicating a suggested maneuver for the vehicle of the UE; and perform an action based at least in part on performing the negotiation. Numerous other aspects are provided.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

A method for preventing an operation of a car application that causes a quality of service of an operation of a computer system of a vehicle to be reduced below a threshold can include receiving, from a separate source, a value indicative of the quality of service of the operation of the computer system during the operation of the car application in conjunction with the operation of the computer system. The method can include determining an existence of a condition. The condition can be that the value is less than the threshold. The method can include causing, in response to a determination of a lack of the condition, the car application to be in a condition to be operated on the vehicle. The method can include preventing, in response to a determination of the existence of the condition, the car application from being in the condition to be operated.

A system receives confirmation that a vehicle has accepted automatic control imposition for a drive within a geo-fenced boundary. The system tracks travel of a plurality of vehicles, including the vehicle, within the geo-fenced boundary. The system may determine that the vehicle has a threshold likelihood of encountering at least one of another vehicle or a boundary of the geo-fence at a threshold speed or above and responsive to the determination, impose automatic control on the vehicle, including at least one of controlled braking or speed limiting.

One variation of a method for accessing supplemental data from other vehicles includes, at an autonomous vehicle: recording a scan image of a scene around the autonomous vehicle at a first time; detecting insufficient perception data in a region of the scan image; in response to detecting insufficient perception data in the region, defining a ground area of interest containing the region and wirelessly broadcasting a query for perception data representing objects within the ground area of interest; in response to receiving supplemental perception data—representing objects within the ground area of interest detected by the second vehicle at approximately the first time—from a second vehicle proximal the scene, incorporating the supplemental perception data into the scan image to form a composite scan image; selecting a navigational action based on objects in the scene represented by the composite scan image; and autonomously executing the navigational action.

Methods and devices for using a relationship between activities of different traffic signals in a network to improve traffic signal state estimation are disclosed. An example method includes determining that a vehicle is approaching an upcoming traffic signal. The method may further include determining a state of one or more traffic signals other than the upcoming traffic signal. Additionally, the method may also include determining an estimate of a state of the upcoming traffic signal based on a relationship between the state of the one or more traffic signals other than the upcoming traffic signal and the state of the upcoming traffic signal.

A motor vehicle has at least one driver assistance system and a navigation system that generates a three-dimensional map and a route-related navigation representation when route guidance is activated by the navigation system. When the at least one driver assistance system is activated, sensor data describing the surroundings of the motor vehicle are acquired by at least one sensor unit of the motor vehicle according to a data acquisition rule of the driver assistance system. The acquired sensor data is evaluated to generate at least one driver assistance related additional information representation. The map with the route-related navigation representation and the driver assistance related additional information representation are output by a display device in the motor vehicle.

This application relates to the automated driving field, and discloses a method for identifying abnormal driving behavior, a system, and a vehicle including the system. The method for identifying abnormal driving behavior includes: obtaining vehicle driving behavior data, and determining, based on the vehicle driving behavior data, whether a vehicle is in a state of suspicious abnormal driving behavior; obtaining current vehicle driving scenario data if the vehicle is in the state of suspicious abnormal driving behavior; and determining, based on the vehicle driving behavior data and the current vehicle driving scenario data, whether the suspicious abnormal driving behavior is abnormal driving behavior. In the technical solutions of this application, current driving scenario information is introduced to an identification process of abnormal driving behavior of the vehicle, so that accuracy of identifying the abnormal driving behavior is improved.

A method for selecting at least one connection pattern drivable by road users using a control device. Trajectory data are received from at least one area. On the basis of the received trajectory data, starting points and end points of drivable trajectories are determined. All the connection patterns between the starting points and the end points of the drivable trajectories are determined in the form of connecting lines. The determined connection patterns are filtered by at least one filter. Connection patterns remaining after filtering are compared with route profiles from the trajectory data. For each remaining connection pattern a number of route profiles which correspond to the connection pattern are counted. A connection pattern with the highest number of matching route profiles is selected. A control device, a computer program, and a machine-readable storage medium are also described.

An apparatus for predicting traffic information includes a storage storing a traffic information prediction model, and a controller configured to calculate a congestion transfer rate W.sub.AB of a target section based on a volume of traffic and vehicle density and input the congestion transfer rate, a speed of the target section, a speed of a section in front of the target section, and a speed of a section behind the target section to the traffic information prediction model to estimate traffic information of the target section.