Path optimization of intelligent vehicle races based on GA

Abstract

Aiming at the problem that it is difficult to determine the shortest path of the intelligent vehicle races, a path optimization model for common sense is proposed in this paper. Several appropriate discrete points are chosen on the runway center line. According to the intelligent vehicle width and runway width some constraints are designed, and GA algorithm is used to optimize discrete points along the radius direction. In order to further verify the feasibility of the algorithm, a intelligent vehicle race track is established. Using the method expatiated above, a shorter path is obtained. Therefore the effectiveness of the optimization model is verified, and the purpose of using a shorter path to get shorter time is reached.