A computer can execute instructions to: receive, power-receiving vehicle data identifying a power-receiving vehicle; identify one or more power-supplying vehicles for providing charging to the power-receiving vehicle; determine a rank for each of the identified one or more power-supplying vehicles based on the received power-receiving vehicle data and data received from the one or more power-supplying vehicles; upon selecting one of the one or more power-supplying vehicles, provide a navigation instruction to navigate at least one of the power-receiving vehicle and the selected power-supplying vehicle to a charging location based on a power-receiving vehicle location and a selected power-supplying vehicle location; and send access data to the power-receiving vehicle to access a charge port of the selected power-supplying vehicle; send a first light actuation instruction to the power-supplying vehicle based on a charging status; and send a second light actuation instruction to the power-receiving vehicle based on charging status.

Systems and methods are disclosed herein for monitoring a location of a client device associated with a transportation service and generating augmented reality images for display on the client device. The systems and methods use sensor data from the client device and a device localization process to monitor the location of the client device by comparing renderings of images captured by the client device to renderings of the vicinity of the pickup location. The systems and methods determine navigation instructions from the user's current location to the pickup location and select one or more augmented reality elements associated with the navigation instructions and/or landmarks along the route to the pickup location. The systems and methods instruct the client device to overlay the selected augmented reality elements on a video feed of the client device.

A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

Provided is a multi-vehicle collaborative trajectory planning method, apparatus (600) and system, and a device, a storage medium, and a computer program product. The method comprises: determining a specific number of different multi-vehicle priority schemes for multiple vehicles (S101); determining, by using a sequential planning policy, a corresponding collaborative planning scheme for each multi-vehicle priority scheme (S102); performing quality evaluation on each collaborative planning scheme to obtain a quality evaluation result (S103); and according to the quality evaluation result, determining a target collaborative planning scheme from the specific number of collaborative planning schemes (S104).

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

A navigation prompt message method includes acquiring a planned driving path including a first intersection and a second intersection to be passed successively. The method further includes, in response to the second intersection being located within a distance threshold of the first intersection, acquiring lane information of a connecting road between the first intersection and the second intersection. In response to the second intersection being located within a distance threshold of the first intersection, the method further includes determining a recommended driving lane on the connecting road based on the lane information, and generating, before a vehicle passes through the first intersection, a navigation prompt message indicating the recommended driving lane the navigation prompt message guiding the vehicle to drive on the recommended driving lane after passing through the first intersection.

An information processing method, an information processing system, an information processing device, and an information terminal of the present invention, accepts a destination for the vehicle, then searches for the travel route to the destination and sets as a first travel route, and sets a travel start time to start traveling on the first travel route. Then, vehicle information is acquired for the vehicle in advance of the travel start time by a prescribed time after the setting of the first travel route; and a travel route to the destination is searched again and a second travel route is set based on the vehicle information.

An information processing device includes a controller, a ride detection device configured to detect a ride of a user, a storage device configured to store action data of the user, an output device configured to output question data for requesting an answer from the user, and an input device configured to receive an input from the user. The controller outputs, from the output device, output data including at least a question regarding an action of the user taken before riding in a vehicle in accordance with positional information of the vehicle when detecting the ride of the user based on a signal acquired from the ride detection device, acquires an answer to the question from the user as input data via the input device, and associates the input data with the positional information of the vehicle or a POI to store the associated data in a storage device.

A control device for an automated valet parking lot includes: a travel path determination unit determining a travel path to one of a plurality of parking sections defined in the parking lot; a travel path transmission unit transmitting the travel path to a vehicle having a function of estimating an own position; and an accuracy evaluation unit evaluating an accuracy of the own position estimated by the vehicle. The accuracy evaluation unit is further configured to: recognize a position of the vehicle in the automated valet parking lot based on information from a sensor disposed in the automated valet parking lot; and evaluate the accuracy of the own position by determining whether the recognized position of the vehicle exceeds a preset allowable range that is a range including the travel path with a predetermined margin.

A method for matching a vehicle with a user including receiving a user ride request for a vehicle from a plurality of available vehicles from a user, receiving a threshold vehicle risk score preference for the user, receiving a user risk score for the user, receiving a threshold user risk score preference for the plurality of available vehicles, identifying a subset of the plurality of available vehicles having a vehicle risk score at or below the threshold vehicle risk score preference of the user and a threshold user risk score preference at or above the user risk score of the user, and presenting the user with ride options for selecting one of the subset of the plurality of available vehicles of the subset of available vehicles for the user ride request.