Abstract: A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Abstract: The present disclosure relates to a method and system for communication between a vulnerable road user and an autonomous vehicle using augmented reality to highlight information to the vulnerable road user regarding potential interactions between the autonomous vehicle and the vulnerable road user.

Abstract: A transportation system comprising a logic node configured to determine an optimized rendezvous location for a vehicle in an area based at least in part on traffic data associated with a plurality of vehicles in the area; and a communication element adapted to communicate the optimized rendezvous location to the vehicle.

Abstract: The present disclosure relates to a method and system for communication between a vulnerable road user and an autonomous vehicle using augmented reality to highlight information to the vulnerable road user regarding potential interactions between the autonomous vehicle and the vulnerable road user.

Abstract: The present disclosure discloses a system and a method. In an example implantation, the system and the method can provide a message to a first communications module. The first communications module is configured to transmit the message. The system and the method can also include determining whether the message has been received from a second communications module, and determining whether to generate a warning message based on the determination of whether the message has been received from the second communications module.

Abstract: Systems, methods, and computer-readable media are disclosed for dynamic traffic lane management. Example methods may include receiving traffic information associated with vehicles travelling on a portion of a multilane road; designating at least one lane of the multilane road as a managed lane based on the traffic information; transmitting, via a vehicle-to-everything (V2X) communications protocol, a message to the vehicles, the message indicative of the designation of the lane as the managed lane; and receiving a confirmation message from a vehicle, the confirmation message indicative of the vehicle's acceptance of travelling on the managed lane.

Abstract: Respective priorities are assigned to data about each of a plurality of objects based on a collision severity and a classification of each of the objects. A message is generated including at least some of the data ordered according to the priorities.

Abstract: A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Abstract: An infrastructure element includes a computer that includes a processor and a memory. The memory stores instructions executable by the processor such that the computer is programmed to classify a traffic condition of a road segment based on data received from an object detection sensor with a field of view including the road segment and that is communicatively connected to the computer. The computer is programmed to broadcast, to an area including the road segment, a vehicle-to-vehicle communication parameter, determined based on the classified traffic condition and specifying one or more of (i) a channel identifier, (ii) a transmission rate, (iii) a transmission power, or (iv) a message size.

Abstract: Data is received from a vehicle in a stationary support structure. One or more physical attributes of an infrastructure element is determined based on the vehicle data.

Abstract: A system includes a processor configured to receive a plurality of traffic reports corresponding to individual road segments of an interconnected road network of road segments. The processor is also configured to determine a mitigation strategy, utilizing one or more temporary traffic controls existing for the individual road segments, designed to minimize overall traffic congestion on the road network and send control instructions for the one or more temporary traffic controls, instructing control in accordance with the determined mitigation strategy.

Abstract: Respective planned reference velocities of a reference vehicle are received for each of a plurality of time steps including a current time step. Respective sensed velocities of a subject vehicle for each of the time steps are determined from sensor data. Respective distances between the reference vehicle and the subject vehicle are determined for each of the plurality of time steps. A number of intervening vehicles between the reference vehicle and the subject vehicle is determined. Based on the planned reference velocities of the reference vehicle, the sensed velocities of the subject vehicle, the distance, and the number of intervening vehicles, a future velocity of the subject vehicle is predicted at a time step that is after the current time step.

Abstract: In a computer mounted to a stationary support structure a vehicle and an object proximate to the support structure can be detected from data from a sensor mounted to the support structure. A risk condition can be identified based on the detected vehicle and object.

Abstract: Systems, methods, and computer-readable media are disclosed for dynamic traffic lane management. Example methods may include receiving traffic information associated with vehicles travelling on a portion of a multilane road; designating at least one lane of the multilane road as a managed lane based on the traffic information; transmitting, via a vehicle-to-everything (V2X) communications protocol, a message to the vehicles, the message indicative of the designation of the lane as the managed lane; and receiving a confirmation message from a vehicle, the confirmation message indicative of the vehicle's acceptance of travelling on the managed lane.

Abstract: A transportation system comprising a logic node configured to determine an optimized rendezvous location for a vehicle in an area based at least in part on traffic data associated with a plurality of vehicles in the area; and a communication element adapted to communicate the optimized rendezvous location to the vehicle.

Abstract: A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Abstract: A vehicle includes a memory configured to store a dynamic occupancy grid of observed objects within a space surrounding the vehicle, the dynamic occupancy grid being generated based on information identified by sensors of the vehicle and based on information wirelessly received to the vehicle from connected actors, the connected actors including one or more connected vehicles or roadway infrastructure elements. The vehicle further includes a processor programmed to identify a maneuver space of the dynamic occupancy grid required to complete a driving maneuver responsive to intent to perform a vehicle maneuver, utilize the dynamic occupancy grid to identify obstacles within the maneuver space, and authorize the maneuver with the connected actors based on type and location of the obstacles identified within the maneuver space.

Abstract: A map of an area can be generated describing an occupancy status for each of a plurality of sub-areas in the area. A first message including the map is transmitted. A second message is transmitted including an updated occupancy status for one or more of, and less than all, of the sub-areas.

Abstract: An infrastructure element includes a computer that includes a processor and a memory. The memory stores instructions executable by the processor such that the computer is programmed to classify a traffic condition of a road segment based on data received from an object detection sensor with a field of view including the road segment and that is communicatively connected to the computer. The computer is programmed to broadcast, to an area including the road segment, a vehicle-to-vehicle communication parameter, determined based on the classified traffic condition and specifying one or more of (i) a channel identifier, (ii) a transmission rate, (iii) a transmission power, or (iv) a message size.

Abstract: In a message receiver, a receipt timestamp is assigned according to a time of wirelessly receiving a message. Object data about an object is extracted from the message, including a timestamp adjustment for the object from a message sender. An estimated sender capture timestamp is assigned to the object by subtracting the timestamp adjustment and an estimated message transmission latency from the receipt timestamp; a receiver capture timestamp is assigned to receiver object data captured in the receiver. The sender object data and the receiver object data are combined according to the estimated sender capture timestamp and the receiver capture timestamp, thereby generating combined object data.