Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road. Based on the information indicative of the event affecting the portion of road, the computing device may send, to the one or more traffic devices associated with the portion of road, instructions to change one or more characteristics of the one or more traffic devices.

An apparatus, method and computer program product are provided for predicting wrong-way-driving events. A WWD event defines an event in which a vehicle travels in a direction opposing a traffic direction designated for a portion of a road. In one example, the apparatus estimates a likelihood of portion of the road inducing a wrong-way-driving (WWD) event by using a machine learning model as a function of map data, sensor data, or a combination thereof. If the likelihood satisfies a threshold, the apparatus updates a map layer to indicate the WWD event at the portion of the road.

The present application discloses a method, device and system for automatic oiling of a long-distance transport vehicle. The method provided by the present application includes: obtaining, by a transport planning system at a network side, vehicle status information, transport mission information and highway port information of the vehicle before the long-distance transport vehicle starts from a highway port of departure; generating a transport plan according to the vehicle status information, the transport mission information and the highway port information, wherein the transport plan comprises at least one highway port to be stopped at, cargo quantity to be loaded at each highway port to be stopped at and oil mass to be filled at each highway port to be stopped at; and sending the transport plan to the vehicle.

A method performed by a database managing system for maintaining a database comprising reported traffic-affecting events is provided. The system derives a position of a first vehicle supporting detection of vehicle surroundings and determines by comparing the vehicle position to positions of reported traffic-affecting events comprised in the database, that the first vehicle is approaching at least a first traffic-affecting event. The system prompts the first vehicle to attempt to detect the first traffic-affecting event, which prompting comprises providing to the first vehicle an expected position of the first traffic-affecting event. The system receives a response from the first vehicle, which response indicates whether or not the expected position was at least partly unobstructedly observable by the first vehicle. The response further indicates—if the expected position was at least partly unobstructedly observable—whether or not the first traffic-affecting event was at least partly detected by the first vehicle.

An information processing device (20) includes a route acquisition unit (202) and an automatic driving section determination unit (204). The route acquisition unit (202) acquires route information indicating a moving route of a mobile body. The automatic driving section determination unit (204) acquires adaptation coefficients for a plurality of sections included in the moving route indicated by the route information, with reference to an adaptation coefficient storage unit (206) that stores automatic driving adaptation coefficients set for the respective sections. Further, the automatic driving section determination unit (204) determines the automatic driving sections of the mobile body in the moving route, based on the acquired adaptation coefficients.

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.

Techniques for determining a location and type of traffic-related features and using such features in route planning are discussed herein. The techniques may include determining that sensor data represents a feature such as a traffic light, road segment, building type, and the like. The techniques further include determining a cost of a feature, whereby the cost is associated with the effect of a feature on a vehicle traversing an environment. A feature database can be updated based on features in the environment. A cost of the feature can be used to update costs of routes associated with the location of the feature.

An ising solver system that searches an optimal route of a vehicle from plural routes passing through plural locations. In the ising solver system, the search of the optimal route uses a Hamiltonian. The Hamiltonian includes an equation representing an interaction between Quadratic Unconstrained Binary Optimization (QUBO) variables depending on a relation between a departure location and an arrival location or capacitated variable of the ising solver. The capacitated variable corresponds to one of the QUOBO variables and includes a variable constraint, and the location-to-location travel step number corresponds to an accumulated movement time of the vehicle.

A server includes a communication device and a processor. From a user terminal, the communication device acquires a vehicle dispatch request including information indicating a vehicle dispatch location and a destination of a vehicle. When the communication device acquires the vehicle dispatch request, the processor determines a traveling route of the vehicle from a current location of the vehicle to the destination via the vehicle dispatch location in accordance with the vehicle dispatch request. The processor determines a route from the current location to the vehicle dispatch location such that an amount of power storage in a power storage device at the vehicle dispatch location is larger than an amount of electric power with which the vehicle can travel from the vehicle dispatch location to the destination.

A method for performing an at least partially automatic vehicle function of a vehicle depending on a travel route to be assessed by means of a driver assistance system is disclosed. The method comprises providing a plurality of clusters from route data with respect to at least one known travel route, wherein the clusters group the route data sectionwise according to predefined geometric parameters. The method comprises providing recorded course data that indicate a course of the travel route to be assessed and applying the clusters to the course data in order to divide the travel route to be assessed into route sections corresponding to the clusters. The method comprises determining at least one uncertainty quantity which is characteristic of an uncertainty with respect to the assignment made and determining a control quantity as a function of the uncertainty quantity and providing the control quantity for performing the vehicle function.