Method and system for automatic driving vehicle intersection scheduling based on sequence selection

Abstract

The invention discloses an automatic driving vehicle intersection scheduling method and system based on order selection. The steps of the method include: S1. When the vehicle to be dispatched enters the dispatching area of ​​the destination intersection, the vehicle to be dispatched establishes communication with the coordinator of the destination intersection, enters Scheduling stage; S2. According to the distance between the vehicle to be dispatched and the destination intersection, and the current state information of the vehicle to be dispatched, estimate the earliest time point when the vehicle to be dispatched arrives at the intersection; S3. Obtain the current road condition information sent by the coordinator, according to the acquired The road condition information and the estimated earliest time point, select the earliest time when the vehicle to be dispatched reaches the destination intersection under the safety constraints as the planned arrival time point; S4. Set the driving plan for the vehicle to be dispatched to reach the destination intersection according to the planned arrival time point. The invention can realize the intelligent dispatching of vehicles at intersections without traffic lights by FIFS, and improve the traffic efficiency of vehicles at intersections under the premise of ensuring safety.

Description

technical field [0001] The present invention relates to the technical field of automatic driving vehicle control, in particular to a sequence selection-based automatic driving vehicle intersection scheduling method and system. Background technique [0002] With the development of technologies such as artificial intelligence and edge computing, autonomous vehicles and related systems have become research hotspots in the fields of computing science and road traffic. Compared with traditional vehicles, autonomous vehicles usually have significant advantages in terms of interaction and communication capabilities and computing power. These advantages enable self-driving vehicles to drive more safely and efficiently in more complex traffic environments, and thus gradually attract attention and be put into use in various traffic scenarios. In fact, application examples consisting only of autonomous vehicles have begun to appear in scenarios such as logistics transportation and ind...

AI Technical Summary

Problems solved by technology

However, in order to realize non-FIFO scheduling without traffic lights, there will be how to establish a vehicle scheduling rule that is more efficient than FIFO to make intersections more efficient, and how to set more reasonable constraints based on vehicle kinematics analysis to avoid Problems such as collisions that may occur when vehicles pass through intersections

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