Vehicle traffic control method and device and storage medium

Abstract

The invention discloses a vehicle traffic control method and device and a storage medium. The vehicle traffic control method is suitable for a first passing vehicle, and comprises the following steps: when detecting that the first passing vehicle enters a first conflict track of a traffic intersection, acquiring a second conflict track conflicting with the first conflict track from a conflict relation graph of the traffic intersection, and determining a second passing vehicle which firstly enters the second conflict track at present; and judging whether the priority of the first passing vehicle is lower than the priority of the second passing vehicle or not based on a predefined traffic control strategy in combination with a first conflict trajectory segment where the first passing vehicle is currently located and a second conflict trajectory segment where the second passing vehicle is currently located, and if yes, performing speed control on the first passing vehicle. According to the invention, large-scale fine-grained traffic control can be realized with a small calculation amount, and the vehicle can be further ensured to safely and efficiently pass through the intersection.

Description

technical field [0001] The present invention relates to the technical field of traffic control, in particular to a vehicle traffic control method, device and storage medium. Background technique [0002] Traffic control refers to controlling vehicles to pass through intersections in accordance with road regulations. The existing vehicle traffic control methods can be roughly divided into macro control methods and micro control methods. The macro control method is to dynamically control the traffic lights at the intersection by detecting the traffic volume in each direction of the intersection, which can realize large-scale traffic control with a small amount of calculation. , microscopic control methods include traffic control strategies such as optimal control strategies in automatic driving, where the optimal control strategy is to minimize the average waiting time of vehicles to obtain the control scheme of each vehicle, which can realize fine-grained traffic control. Th...

AI Technical Summary

Problems solved by technology

These two control methods have their own advantages and disadvantages. The macroscopic control method has a small amount of calculation, but it can only achieve coarse-grained traffic control. Although the microscopic control method can achieve fine-grained traffic control, it has a large amount of calculation.

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