A vehicle, system and a method of operating the vehicle is disclosed. The system includes a first sensor, a second sensor and a processor. The first sensor captures an image of a traffic control device. The second sensor identifies a lane within a road that is occupied by the vehicle. The processor is configured to determine an attribute of the lane occupied by the vehicle, associate a semantic meaning to a motion control signal of the traffic control device, determine a maneuver for the vehicle based on the semantic meaning of the motion control signal and the attribute of the lane occupied by the vehicle, and perform the maneuver at the vehicle.

A method of controlling operation of a vehicle includes monitoring one or more features of a road segment, the vehicle configured to communicate with a plurality of objects in a wireless communication network, the vehicle configured to generate a communication based on a reference value of a parameter related to at least one of an environment around the vehicle and a behavior of the vehicle. The method also includes determining, based on the monitoring, a condition of the road segment, the condition including at least a curvature of the road segment, inputting the condition into a machine learning model configured to adjust the reference value based on the condition and output an adjusted reference value, and comparing the adjusted reference value to a current parameter value, and based on the adjusted reference value matching the current parameter value, transmitting an alert to one or more of the plurality of objects.

A method and device for operating an automated vehicle. The method includes a step of receiving a position of the automated vehicle, a step of providing a map, as a function of the position, a step of receiving environment data values, which represent an environment of the automated vehicle, as a function of the position, a step of producing an environment model, as a function of the environment, on the basis of the map, and a step of operating the automated vehicle, as a function of the environment model.

Reports of traction-altering events between vehicle systems and surfaces of routes being traveled upon by the vehicle systems are received, and one or more areas of interest associated with increased likelihood of one or more additional traction-altering events are identified based on the reports that are received. Signals are communicated to one or more other vehicle systems to one or more of warn the one or more other vehicle systems of the traction-altering events or control movement of the one or more other vehicle systems to avoid the one or more additional traction-altering events.

Systems and methods of cooperative autonomous driving which maximize objectives of a global traffic environment are provided. In particular, a cooperative controller may control multiple connected vehicles within a traffic environment. In certain embodiments, the cooperative controller may assign each connected vehicle a traffic role, based in part on their situation within the traffic environment. In some embodiments, this traffic role may also be based on a “priority level” for the connected vehicle which corresponds to a desired travel time. Once traffic roles have been assigned, the cooperative controller may control each connected vehicle according to a driving policy associated with its assigned traffic role.

System, methods, and other embodiments described herein relate to remotely assisting an operator that is impaired using alerts from a vehicle. In one embodiment, a method includes receiving, by a first vehicle using a communications network, assistance information about an operator and a second vehicle near the first vehicle, wherein the assistance information indicates a state of the operator and a position of the second vehicle. The method also includes, upon approving an action according to the state and the position, selecting an alert that changes the state according to the position and attributes determined according to sensor data of the first vehicle. The method also includes activating the alert by the first vehicle.

A system for use with a vehicle includes at least one device installed or present onboard the vehicle and configured to sense or determine at least one condition or characteristic of the vehicle or its driver. The at least one device communicates the condition or characteristic with a remote site or web service using a wireless communication device. The remote site or web service correlates or compares the condition or characteristic of the vehicle or its driver with road conditions, capacities, facilities, and/or established safety data associated with the upcoming roadway, and determines whether the vehicle should stop or enter a facility due to an incompatibility or conflict between the condition or characteristic and the road conditions, capacities, facilities, and/or established safety data. The remote site or web service then communicates the determination of whether the vehicle should stop or enter the facility to the device on the vehicle.

A travel road determination apparatus includes a vehicle position acquisition unit and a travel road determination unit. The vehicle position acquisition unit acquires position information of a vehicle. In first determination processing, the travel road determination unit determines whether or not the vehicle that is determined to be traveling on a first-type road based on first position information of the vehicle has started traveling on a second-type road, based on second position information of the vehicle and first map data. In second determination processing, the travel road determination unit determines whether or not the vehicle that is determined to be traveling on the second-type road based on third position information of the vehicle has started traveling on the first-type road, based on fourth position information of the vehicle and the second map data.

Various examples are directed to systems and methods for routing an autonomous vehicle. For example, a system may access temporal data comprising a first temporal data item. The first temporal data item may describe a first roadway condition, a first time, and a first location. The system may also access a routing graph that comprises a plurality of route components and determine that a first route component of the routing graph corresponds to the first location. The system may generate a constrained routing graph at least in part by modifying the first route component based at least in part on the first roadway condition. The system may additionally generate a route for an autonomous vehicle using the constrained routing graph; and cause the autonomous vehicle to begin traversing the route.

A parking assistance device includes: an order table configured to record an order of setting the guide routes for autonomous vehicles; a guide calculation unit that calculates the guide routes; a re-calculation unit that re-calculates, in accordance with the order, the guide routes for vehicles among the autonomous vehicles for which the guide routes not overlapping with each other cannot be calculated; a guide setting unit configured to: set the guide routes for vehicles among the autonomous vehicles for which the guide routes not overlapping with each other can be calculated; and not set the guide routes for the vehicles for which the guide routes not overlapping with each other cannot be calculated; a route transmission unit that transmits the set guide routes to the autonomous vehicles; and an order change unit that changes the order.