Disclosed are systems and methods relating to providing corridor metrics based on road network data and telematic data.

A computer-implemented method and system for map matching Global Navigation Satellite System (GNSS) positions of a vehicle with location information of a digital map, including map matching the determined distance between two respective detected consecutive GNSS positions of the vehicle with a route length between the two respective consecutive GNSS positions of the vehicle on the digital map.

Systems and methods are provided for predicting blind spot incursions for a host vehicle. In one implementation, a navigation system for a host vehicle may comprise a processor. The processor may be programmed to receive, from an image capture device located on a rear of the host vehicle, at least one image representative of an environment of the host vehicle. The processor may be programmed to analyze the at least one image to identify an object in the environment of the host vehicle and to determine kinematic information associated with the object. The processor may further be programmed to predict, based on the kinematic information, that the object will travel in a region outside of a field of view of the image capture device and perform a control action based on the prediction.

A device may receive three-dimensional geographical map data for a geographical region associated with a vehicle device of a vehicle and may process the three-dimensional geographical map data, with a data model, to transform the three-dimensional geographical map data into transformed geographical map data with a format that corresponds to a particular standard. The device may generate a message based on the transformed geographical map data and may cause the message to be provided to the vehicle device. The device may perform one or more actions based on the message.

A vehicle coordination system is provided for coordinating the trajectories of vehicles on a road network. The vehicle coordination system comprises a plurality of vehicles each having respective vehicle position tracking assemblies that are in communication with respective vehicle communication systems for transmitting vehicle state messages including positions of the vehicles. A task assignment allocator is provided that is arranged to generate task assignments for each of the plurality of vehicles, including destinations in the road network for the vehicles. A vehicle coordination assembly is in communication with the vehicle communication systems via a data network for receiving the vehicle state messages. The vehicle coordination assembly is configured to determine respective paths for each vehicle to arrive at their respective destinations and determine trajectory control commands for each vehicle to traverse their respective paths whilst optimizing a predetermined objective and avoiding active interactions of two or more of the vehicles occurring in any shared areas of the paths. The vehicle coordination assembly is configured to transmit the trajectory control commands to each vehicle. The predetermined objective may be an aggregate traversal time for the vehicles.

In a road information distribution system, a cloud server detects to road location where an abnormality is occurring based on vehicle location information of a plurality of vehicles or vehicle controlling amount of a plurality of vehicles, and transmits an abnormal road location to a vehicle before identifying a cause of the abnormality. The road information distribution system then notifies the abnormal road location to a driver of the vehicle when the vehicle approaches a predetermined distance from the abnormal road location.

An advance in the art is made according to aspects of the present disclosure directed to distributed fiber optic sensing systems (DFOS), methods, and structures that advantageously monitor and identify—in real-time—roadway traffic and patterns across a multiple-lane highway by employing a multiple-transverse fiber optic cable arrangement of optical fiber cable positioned under the highway/roadway to detect, monitor, and/or identify traffic.

A method determines an anticipated occupation of charging points and a charging strategy for a specified route. The method provides traffic data which is representative for the current traffic density on the route specified. An anticipated occupation of charging points along the specified route can be determined on the basis of the traffic data. A charging strategy can be determined on the basis of the traffic data and the determined anticipated occupation of charging points. The provision of information regarding a charging strategy to a driver allows the time required for the specified route to be reduced.

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing a query request. The method includes determining a first number of requests of a first edge device and a second number of requests of a second edge device in a distributed system. The method further includes determining the first edge device as a parent node and the second edge device as a child node in response to both the first number of requests and the second number of requests being less than a threshold. The method further includes sending to the child node an indication of transmitting data in the child node to the parent node. The method further includes sending, in response to receiving a query request for the child node, the query request to the parent node.

Disclosed are systems and methods relating to providing intersection metrics based on road network data and telematic data.