A server may determine that two-way communication to a plurality of autonomous vehicles has been lost, during conditions suitable for using the autonomous vehicles for evacuation. The server may also determine evacuation points and determine a geographic perimeter around each evacuation point, the perimeter projected to encompass sufficient vehicles to service the evacuation point based on determined evacuation needs of a given evacuation point. Further, the server may formulate an evacuation instruction for each evacuation point, each instruction having one or more parameters, including at least the geographic perimeter corresponding to a given evacuation point, wherein a given evacuation instruction instructs vehicles executing the instruction to travel to the corresponding evacuation point. The server additionally may instruct broadcast of one or more of the evacuation instructions from an ATSC transmitter known to cover a geographic region including at least a portion of the geographic perimeter of each evacuation instruction transmitted.

The invention relates to a method and systems for detection of phase and timing of traffic signal lights and notifying drivers and controlling vehicle subsystems with driver assistance information generated through processing phase and timing information with location, speed and heading of vehicles. Phase and timing information is detected through analyzing data received from sensors installed on the traffic signal lights. Processing the detected traffic signal light phase and timing information with location, heading and speed information of vehicles, drivers can be notified to regulate the speed of vehicles according to the situation of the traffic signal lights. Additionally, providing the communication of adaptive cruise control, start-stop and autonomous driving systems of vehicles with the traffic signal lights, vehicles can be controlled by these systems according to the situation of the traffic signal lights.

An operation method of a management node in a vehicle network is provided. The method includes receiving a reservation request for transmission of a data stream from a first communication node and identifying a bandwidth required for transmitting the data stream. A path for transmitting the data stream is calculated based on the identified bandwidth and time sensitive networking (TSN) profile information. Configuration modes of one or more relay nodes in the path are changed and a response to the reservation request is transmitted to the first communication node.

An edge server (10) periodically acquires, by an acquisition unit (11), a location of each communication apparatus (30-1 to 30-N). A control unit (12) identifies an accident-occurrence predicted communication apparatus (30) disposed in an “accident-occurrence predicted vehicle” which is vehicle regarding which there is a high probability of it causing an accident among the communication apparatuses (30-1 to 30-N) based on the location of each communication apparatus (30) acquired by the acquisition unit (11). The transmission unit (13) transmits a “warning message” to the accident-occurrence predicted communication apparatus (30) identified by the control unit (12) via the base station (20).

Communication between autonomous vehicles, in 5G or 6G, is necessary for cooperative hazard avoidance and to coordinate the flow of traffic. However, before cooperative action, each vehicle must determine the wireless address of other vehicles in proximity, so that they can communicate directly with each other. Methods and systems disclosed herein include a computer-readable wireless “connectivity matrix”, an array of black and white squares showing a connectivity code. The connectivity code may be the vehicle's wireless address, an index code, or other information about the vehicle. The connectivity code may be an index in a tabulation of information that provides the wireless address, among other data. Other vehicles, or their cameras, may read the connectivity matrix, determine the code therein, and find the vehicle's wireless address. After determining the wireless address of the other vehicles, the vehicles can then communicate and cooperate to avoid accidents and facilitate the flow of traffic.

A system for implementing an interaction between a semi-autonomous or autonomous motor vehicle and a vulnerable user of a carriageway used by the motor vehicle and potentially crossed by a vulnerable user at a crossing, pedestrians and cyclists being considered to be vulnerable users. The system including an environment sensor, a computer processing the data received from the one or more environment sensors, and a display device arranged on the vehicle and directed to the outside of the vehicle, the display device in the form of a horizontal strip and occupying a longitudinal end of the vehicle, and providing vulnerable users present in the vehicle's environment in the vicinity of the crossing with a visual indication as to whether or not they may cross the carriageway road surface, so that pedestrians and cyclists can obtain unambiguous information as to their presence being taken into account by the vehicle.

Facilitating autonomously linking movement of objects in four dimensions in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a method can include identifying, by a system comprising a memory and a processor, a first portion of a first traversal route grid associated with a first object and a second portion of a second traversal route grid associated with a second object. The identifying can be based on the first portion and the second portion being determined to be overlapping portions during a same time period. The method also can include linking, by the system, during the same time period, a first movement of the first object and a second movement of the second object across the overlapping portions.

In an exemplary method, a traffic monitoring subsystem receives mobile device attribute data from a plurality of mobile devices over a network, selectively aggregates the mobile device attribute data, the selectively aggregating including identifying anomalous data in the mobile device attribute data and excluding the anomalous data from the aggregated mobile device attribute data, and generating traffic condition data based at least in part on the aggregated mobile device attribute data, the traffic condition data representative of a traffic condition. In certain examples, the traffic monitoring system provides the traffic condition data to at least one of the mobile devices.

In one aspect, an exemplary method for sharing traffic data among a plurality of vehicles includes: a first vehicle receiving current traffic data from at least a second vehicle over a first network protocol; the first vehicle transmitting current traffic data from the first vehicle and the current traffic data received from at least the second vehicle to a roadside unit over a second network protocol; the first vehicle receiving processed traffic data from the roadside unit over the second network protocol, the processed traffic data being based on the current traffic data received from the first vehicle and from at least the second vehicle; and the first vehicle transmitting the processed traffic data received from the roadside unit to at least the second vehicle over the first network protocol.

A resource allocation method is provided, the method includes: receives a resource scheduling request by a first side unit (RSU) sent from a first vehicle to everything (V2X) communication group which comprises vehicles in a same driving direction; allocating communication resources for the first V2X communication group. A road side unit is also provided. By utilizing embodiments of the present disclosure, rationality of resource allocation can be improved, qualities of vehicle communication links and channels in the communication group is stable and a performance of vehicle networking can be fully realized.