A vehicle control system comprising a vehicle control device, and a remote operation terminal. The vehicle control device controls a host vehicle capable of traveling in each of an autonomous self-driving mode, a remote self-driving mode, and a manual driving mode. The remote operation terminal remotely operate the host vehicle. The vehicle control device acquires a nearby-vehicle driving mode representing a driving mode of a nearby vehicle that is a vehicle near the host vehicle. In a case in which the nearby-vehicle driving mode of the nearby vehicle is a remote self-driving mode and a driving mode of the host vehicle is the autonomous self-driving mode, the vehicle control device controls travel of the host vehicle in the autonomous self-driving mode so that a distance between the nearby vehicle and the host vehicle becomes equal to or greater than a predetermined distance.

According to one embodiment, a travel control apparatus includes an area setter configured to set a second area on at least one of a plurality of travel paths provided among a plurality of first areas; and a travel controller configured to control timing of a first mobile body to pass through the second area on a travel route of the first mobile body based on passing sequence information on one of the first areas that is located behind the second area, wherein the passing sequence information defines a sequence in which a plurality of mobile bodies including the first mobile body passes through the first area.

Disclosed is a control method for delivery robots, wherein a distribution area has a preset home point. The control method includes: identifying a second delivery robot that obstructs a first delivery robot, wherein the first delivery robot is in a working state of heading to one or more target positions, and the second delivery robot is in an idle state; determining a distance between the second delivery robot and the home point; and controlling the second delivery robot to avoid the first delivery robot according to the distance between the second delivery robot and the home point. In view of the situation that an idle delivery robot may obstruct a delivery robot performing a task, the disclosure proposes an avoidance judgment logic to control the idle delivery robot to avoid, thereby improving distribution efficiency and preventing congestion.

A traveling vehicle system includes a plurality of traveling vehicles, a controller that controls the plurality of transport vehicles, a traveling region of the traveling vehicles having a plurality of blocking sections each of which undergoes exclusive control to prohibit another traveling vehicle from moving thereinto. The traveling vehicle makes a request to the controller for occupation permissions regarding a plurality of blocking sections to be occupied by the traveling vehicle and are designated by instructions. The controller then determines, among the plurality of blocking sections for which the traveling vehicle makes a request for occupation permissions, one or more of the blocking sections that are able to allow permissions consecutively from an end thereof to be primarily occupied, based on the traveling direction of the traveling vehicle, and the controller grants the traveling vehicle the permissions for one or more blocking sections determined to allow the permissions.

A multi-AGV motion planning method, device and system are disclosed. The method of the present disclosure comprises: establishing an object model through reinforcement learning; building a neural network model based on the object model, performing environment settings including AGV group deployment, and using the object model of the AGV in a set environment to train the neural network model until a stable neural network model is obtained; setting an action constraint rule; and after the motion planning is started, inputting the state of current AGV, states of other AGVs and permitted actions in a current environment into the neural network model after trained, obtaining the evaluation indexes of a motion planning result output by the neural network model, obtaining an action to be executed of the current AGV according to the evaluation indexes, and performing validity judgment on the action to be executed using the action constraint rule.

A management system for a work vehicle, includes: a traveling condition data generation unit configured to generate traveling condition data that causes a work vehicle to enter with forward movement, from an entrance of a workplace to a work point of the workplace, and exit with backward movement, from the work point to an exit of the workplace; and an output unit configured to output the traveling condition data to the work vehicle.

Techniques are provided which may be implemented using various methods and/or apparatuses in a vehicle to utilize vehicle external sensor data, vehicle internal sensor data, vehicle capabilities and external CV2X input to determine, send, receive and utilize data elements to determine inter-vehicle spacing, intersection priority, lane change behavior and spacing and other autonomous vehicle behavior.

A dock area control system includes a vehicle proximity detection system (PDSC). The PDSC includes a vehicle low frequency magnetic field generator (MFG) that generates a vehicle pulsed magnetic field that is sensed by a dock area controller electronics module (DEM).

An apparatus and method for controlling driving of a vehicle are disclosed. The disclosed method includes: determining, by a determinator, whether smart cruise driving of a vehicle is performed; determining, by the determinator, whether a rear vehicle performs a lane change when the vehicle is in a smart cruise driving state; determining, by the determinator, a collision possibility based on whether the rear vehicle performs the lane change; determining, by the determinator, whether a front vehicle is present; based on the determined collision possibility; and calculating, by a controller, a target distance or a target speed when there is a front vehicle.

An industrial vehicle passing maneuver is authorized by an automated process. The process comprises receiving, by a processor, a first message, a second message and a third message. The first message indicates a position of a first industrial vehicle in a work environment. The second message indicates a position of an electronic badge that is detected by the first industrial vehicle. The third message indicates a position of a second industrial vehicle within the work environment. The processor determines that the second industrial vehicle intends to pass the first industrial vehicle, and determines an instruction comprising a select one of an instruction related to a passing maneuver or an instruction not to pass based upon the position of the first industrial vehicle, the position of the electronic badge, and the position of the second industrial vehicle. The instruction is communicated to the second industrial vehicle.