To realize an apparatus and a method for receiving a recognition level of an own vehicle from another vehicle and/or an infrastructure facility and performing control to improve a recognition level. A recognition level of the own vehicle calculated by another vehicle or the infrastructure facility is received, and control for improvement of a recognition level of the own vehicle is executed in accordance with the received recognition level. As the control for improvement of a recognition level of the own vehicle, any process is executed among: (a) a process of reducing a traveling speed or stopping; (b) a process of turning on a light; and (c) a process of changing transmission information from the own vehicle. As the process of changing transmission information, a process of adding, to the transmission information, vehicle location information, vehicle speed information, vehicle size information, or reference marker position information is executed.

An intelligent traffic control system may be configured to manage autonomous vehicle traffic, such as by communicating with autonomous vehicles. The intelligent traffic control system may be configured to output an indication of a traffic control command to autonomous vehicles and non-autonomous vehicles. The intelligent traffic control system may be configured to determine traffic control commands for autonomous vehicles and non-autonomous vehicles.

An intelligent traffic control system may be configured to manage autonomous vehicle traffic, such as by communicating with autonomous vehicles. The intelligent traffic control system may be configured to output an indication of a traffic control command to autonomous vehicles and non-autonomous vehicles. The intelligent traffic control system may be configured to determine traffic control commands for autonomous vehicles and non-autonomous vehicles.

A method includes receiving a request from a requesting vehicle to locate a parking spot having capacity to receive solar power, determining a parking location having the capacity to receive solar power, based on a location of the requesting vehicle, the request, and a parking map that indicates an expected charging rate at each of a plurality of parking locations, and transmitting the determined parking location to the requesting vehicle.

The disclosed subject matter relates to an Intelligent Transportation System (ITS) service station, comprising: a receiver configured to receive, from one or more sensors, information on a set of road users perceived by the sensors, wherein said road user information includes, for each road user in the set, a respective geographical position determined by the sensors; a controller connected to the receiver and configured to determine, on the basis of said geographical positions, whether a subset of road users in said set meets a predetermined criterion of mutual proximity; and a transmitter connected to the controller and configured to transmit, when said subset comprises two or more road users, a service message indicative of said subset.

Embodiments relate to a vehicle, an apparatus, a method and a computer program for sharing sound data. The apparatus (10) for sharing sound data from a vehicle (100) comprises one or more interfaces (12) configured to communicate in a mobile communication system (300) and one or more microphones (16) configured to record sound data. The apparatus (10) further comprises a control module (14), which is configured to control the one or more interfaces (12) and the one or more microphones (12). The control module (14) is further configured to record sound samples using the one or more microphones (16), and to communicate information on the sound samples to another vehicle (200) using the one or more interfaces (12).

Provided is a traffic control server, a traffic control system, and a display device capable of wirelessly communicating with the traffic control server that are capable of realizing both safety securement for a manned vehicle and an unmanned vehicle traveling in a mine and prevention of reduction in productivity by controlling interference between the manned vehicle and the unmanned vehicle. An interference control part of the traffic control server generates warning information for performing at least one of displaying a warning screen or making a warning sound to the manned vehicle in accordance with an overlap (interference) among a stop trigger region of the manned vehicle, a travel-permitted section set for the unmanned vehicle, a next travel-permitted section that is the travel-permitted section to be subsequently set for the unmanned vehicle, and a warning region set for the travel-permitted section, and a server-side communication control part transmits the warning information to the manned vehicle.

An optical fiber sensing system according to the present disclosure includes: an optical fiber (10) provided along a road R to detect vibrations; a detection unit (21) configured to detect a vibration pattern of a vibration caused by a traffic accident that has occurred on the road R from optical signals received from the optical fiber (10); and an estimation unit (22) configured to estimate a situation of the traffic accident based on the vibration pattern.

Provided is an intersection deadlock identification method for a mixed flow of autonomous vehicles. This method considers the reality that the intersection traffic flow is composed of human driven vehicles and connected autonomous vehicles. Firstly, the two-dimensional coordinates, speed and front wheel steering angle information of all vehicles in the intersection are obtained, and the blockage graph of vehicles is constructed on the assumption that the front wheel steering angles of all vehicles are fixed. If there is no ring structure in the blockage graph, there is no deadlock; if there is a ring structure, the evasion distance propagation algorithm is used to calculate the evasion requirement distance of a vehicle in the ring. When the evasion requirement distance is greater than the permitted travelling distance of the vehicle itself, a weak traffic deadlock exists.

Provided is an intersection deadlock identification method for a mixed flow of autonomous vehicles. This method considers the reality that the intersection traffic flow is composed of human driven vehicles and connected autonomous vehicles. Firstly, the two-dimensional coordinates, speed and front wheel steering angle information of all vehicles in the intersection are obtained, and the blockage graph of vehicles is constructed on the assumption that the front wheel steering angles of all vehicles are fixed. If there is no ring structure in the blockage graph, there is no deadlock; if there is a ring structure, the evasion distance propagation algorithm is used to calculate the evasion requirement distance of a vehicle in the ring. When the evasion requirement distance is greater than the permitted travelling distance of the vehicle itself, a weak traffic deadlock exists.