Vehicle scheduling method in intersection region under Internet-of-Vehicles environment

Abstract

The invention provides a vehicle scheduling method in an intersection region under an Internet-of-Vehicles environment. The vehicle scheduling method is mainly divided into two phases. The first phaseis a queuing occurrence judgment phase, and the second phase refers to a vehicle scheduling method after the queuing occurrence. The vehicle scheduling method comprises the steps of transmitting a queuing condition of the first phase to a vehicle-mounted unit and a central base station, suspending a judging mechanism when detecting the occurrence of queuing, sending control signals to vehicles entering a control region by means of the vehicle-mounted unit and the central base station, starting vehicle control of a queuing lane and other lanes in the second phase, and controlling vehicles in the queuing lane to obtain driving priority on the premise of guaranteeing safety. The vehicle scheduling method is applicable to the intersection region and an upstream area without signal lamps, is more efficient than the traditional intersection signal control, and can allow the vehicles to pass through an intersection rapidly.

Description

technical field [0001] The invention relates to the field of intelligent traffic, in particular to an intelligent traffic control method based on the Internet of Vehicles. Background technique [0002] In recent years, with the increase in car ownership and the development of intelligent transportation, more and more Internet of Vehicles technologies have been applied to urban traffic. Information exchange can be realized through sensors and wireless communication devices. Vehicle control methods will enter a new stage. [0003] At home and abroad, there have been some studies on the dispatching methods of vehicles at intersections under the environment of Internet of Vehicles or Vehicle-Infrastructure Coordination. The main control ideas are focused on the consideration of safety distance and global optimality when dispatching vehicles under all or part of the network. For example, delineate the control area to ensure that vehicles travel at a predetermined speed to avoid...

AI Technical Summary

Problems solved by technology

However, when the intersection area is not ideal or there are emergencies, such as queuing caused by different reasons or sudden non-faulty parking of individual vehicles, there is little research on the vehicle scheduling method in the intersection area.

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