A congestion prediction server includes: a storage device configured to store route information of a determined route on which a vehicle is scheduled to travel; and a server control unit configured to, in a case of receiving route information of a searched route searched by an in-vehicle device loaded in the vehicle, generate reference information regarding the searched route based on the route information of the determined route and transmit the generated reference information to the in-vehicle device.

An example operation includes one or more of receiving, by a transport, a notification when at least one of an emergency transport and the transport approach one another, wherein the notification includes a movement for the transport, wherein the movement includes a path, a speed and a time for the transport to maneuver, and displaying the notification in the transport.

An autonomous vehicle is equipped with a beacon, preferably including a transmitter and receiver, or a transceiver, for bi-directional communication, which is programmed to interact with other beacons for the exchange of contextual travel information to assist in autonomous operation of the vehicle. Beacons may be stationary and positioned along a roadway such that a signal transmitted by such a stationary beacon can be received by a passing beacon-equipped vehicle, the operation of which can be adjusted depending on instructions received from the stationary beacon. The vehicle can also transmit information to the stationary beacon, which information can be used to assess traffic conditions to thereafter adjust information and alerts sent to other beacon-equipped vehicles. Beacons located within multiple vehicles may also interact to share information that may be used by individual vehicles to adjust or maintain the autonomous operation of the vehicle.

A message conveying system comprising a set of sensors that can detect features such as a camera, LADAR, ranging sensors, or acoustic sensors in which the lead autonomous vehicle conveys messages to the other autonomous vehicles that follow behind of rendezvous locations for the entire convoy to meet when they get separated from the lead autonomous vehicle. The rendezvous locations are derived from paths entered by the operator, by using the general direction of travel, or by using the old route. In addition, different rendezvous points can be chosen based on exactly where the loss of communication occurs. These rendezvous points may or may not lead to the final destination dictated by the lead autonomous vehicle.

An autonomous vehicle service system having a display device, a receiver, and a controller. The receiver is remote from an autonomous vehicle and configured to receive transmitted data from a third party and the autonomous vehicle. The controller is configured to monitor the transmitted data related to the status of the autonomous vehicle, and cause information related to the autonomous vehicle to be displayed on the display device, the controller further configured to enable the autonomous vehicle service system to be accessed by the third party so as to be capable of forming and updating a supervision zone to restrict access to an area by the autonomous vehicle.

Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.

A method for controlling autonomous lane change of a moving body is disclosed. The method includes calculating a driving route from a current location of the moving body to a destination; determining whether an intersection or a forked road exists at a predetermined distance from the current location of the moving body on the calculated driving route; checking, when the intersection or the forked road exists, link information corresponding to a lane in which the moving body is located, and determining a moving direction toward the intersection or the forked road; determining an entry route for entering the intersection or the forked road according to the determined moving direction; and generating a control signal for controlling a moving direction of the moving body according to the determined entry route.

A transportation threat detection system includes a communication module that receives an inertial event report from a reporting vehicle. The report includes (i) an indication of an inertial event from an inertial sensor at the reporting vehicle, and (ii) an indication of a geographic location associated with the event. The system also includes a fusion processor that associates the inertial event report with a potential transportation threat, consistent with the inertial event report and at the geographic location. The fusion processor generates a measure of support for the transportation threat potentially existing at the geographic location based on a participation rate generated using any additional inertial event reports received from respective additional reporting vehicles. The system also includes a reporting interface that renders output indicative of the potential transportation threat, wherein the output is made as a function of the generated measure of support.

A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.

An example operation includes one or more of receiving, by a transport, a notification when at least one of an emergency transport and the transport approach one another, wherein the notification includes a movement for the transport, wherein the movement includes a path, a speed and a time for the transport to maneuver, and displaying the notification in the transport.