An anomaly handling method using a roadside device is disclosed. The method includes receiving, from a vehicle, an anomaly detection notification, which includes level information indicating a level affecting safety, and a location of the vehicle. The method also includes obtaining a location of the roadside device and determining whether a distance between the location of the vehicle and the location of the roadside device is within a predetermined range. When the distance is within the predetermined range and is shorter than a first predetermined distance, not changing the level information and transmitting the received anomaly detection notification externally from the one vehicle. When the distance is within the predetermined range and is longer than or equal to the first predetermined distance, changing to decrement a level indicated by the level information, and transmitting changed anomaly detection notification externally from the one vehicle.

Systems and methods of providing a V2X communications are generally described. A geographically-limited, operator-independent mapping table is used that maps between groups of V2X applications each associated with a different application category and a different RAT preferred for the V2X application category. Each grouping is based on fulfillment of one or more KPIs for the associated V2X application category. Multiple RATs are prioritized if able to fulfill the KPIs. The mapping table is modified based on the RATs supported by the V2X UE. Carrier aggregation is used when simultaneous transmission on different RATs is desired.

There is provided with a vehicle following travel system configured to cause a following vehicle to perform following travel following a leading vehicle. A departure point and a destination desired by a user of the following vehicle. Based on the departure point and the destination, for the leading vehicle that the following vehicle follows is searched. A travel plan that includes a section of the following travel in at least a part between the departure point and the destination. A reward to the leading vehicle for the following travel is calculated based on the travel plan.

A method, apparatus, and system for controlling an automated guided vehicle. An embodiment of the method comprises: receiving a fault message comprising travel state information for indicating the travel state of a faulty automated guided vehicle and position information of a fault point where a fault occurs (201); determining a fault region, and sending an instruction for indicating prohibition of passing in the fault region to a non-faulty automated guided vehicle (202); determining a target automated guided vehicle from the automated guided vehicles currently not executing a task, and sending a task execution instruction to the target automated guided vehicle (203); and in response to determining that the faulted automated guided vehicle is transferred to a maintenance region, sending an instruction for indicating cancel of the prohibition of passing in the fault region to the non-faulty automated guided vehicle that is executing a task (204).

System for automatically classifying vehicle vocation and benchmarking vehicle performance relative to other vehicles having the same vocation classification, independent of vehicle fleet groupings, industry vehicle application groupings and vehicle type groupings, is disclosed. The system includes a vehicle vocation classifier in communication with a data management system to store historical vehicle data including recurring vehicle usage data, and assign one or more predicted vocations for each vehicle based on the recurring vehicle usage data using a machine learning technique. The system also includes a benchmarking management system for grouping the historical vehicle data for vehicles of same determined predicted vocation, determining therefrom benchmarking vehicles having better performance characteristics than other vehicles of the same determined predicted vocation, and benchmarking performance of the other predicted vocation vehicles relative to the benchmarking vehicles.

An information collection system includes a control device installed at a vehicle, a collection device that collects obstacle information from a plurality of the control devices, and a relay device that relays communications between the control device and the collection device. A first processor of the control device calculates a degree of confidence that an obstacle as included in a captured image captured by an image capture device provided at the vehicle, and transmits image information related to the captured image, position information added to the captured image, and the degree of confidence, to the relay device. A second processor of the relay device receives the image information, the position information, and the degree of confidence, from the control devices, and identifies an obstacle included in a captured image according to the image information in descending order of the degree of confidence. If an obstacle has been identified, the second processor transmits text information relating to the position of the identified obstacle and the content of the identified obstacle to the collection device. A third processor of the collection device receives the text information from one or more of the relay devices and stores the text information corresponding to the identified obstacle.

A method and a traffic control entity (100) for controlling a group of vehicles (104) capable of autonomous driving without requiring a driver, to allow an emergency vehicle (102) to pass the group of vehicles (104) which are travelling concurrently in multiple lanes on a road. When detecting that the emergency vehicle (102) is approaching the group of vehicles (104) e.g. from behind, the vehicles in the group (104) are identified based on information (108) about current position and movement of the vehicles (104). The traffic control entity (100) then issues a command (106) instructing the identified vehicles to adjust their lateral positions relative the lanes to create a passage along the group of vehicles (104). Thereby, the emergency vehicle (102) is able to move through the passage without having to slow down significantly.

The described technology is generally directed towards a multi-connectivity (three or more simultaneous communication links) framework in a wireless communication network, including aspects and components that support the operation of New Radio vehicle-to-everything (V2X) services. Aspects of the framework include initial access and V2X establishment, local manager selection, sidelink and cellular resource configuration, mobility and measurements (and reporting), group communication and vehicular platooning support, and V2X configuration and local manager association.

Autonomous vehicles may be dynamically directed to rendezvous with autonomous vehicle trains or convoys. Current location and/or route information of the Autonomous Vehicle Train (AVT) may be received by an autonomous vehicle. The autonomous vehicle may compare its current location and/or route information to determine a rendezvous point with the AVT. The autonomous vehicle may route itself to the rendezvous point with the AVT. Once there, the autonomous vehicle may verify the identification of the AVT, such as by using sensors/cameras to verify a lead vehicle of the AVT (e.g., by verifying make/model, color, and/or license plate). The autonomous vehicle and lead vehicle may communicate to allow the autonomous vehicle to join the AVT. A minimum level of autonomous vehicle functionality may be verified prior to the autonomous vehicle being allowed to join the AVT. As a result, vehicle traffic flow and travel experience by passengers may be enhanced.

The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed. According to the method proposed in the present invention, the problem of lacking platoon lane change performance quantitative evaluation at present is solved, vehicle motion state parameters can be measured in a high-precision and comprehensive manner, multi-dimensional platoon lane change performance evaluation indexes are quantified and output, and comprehensive, accurate, and reliable scientific quantitative evaluation for platoon lane change performance is achieved.