Research on speed profile generation of train automatic driving planning based on improved genetic algorithm

Abstract

Aiming at the problems of punctuality, parking accuracy, energy saving and comfort in the automatic driving of urban rail trains, this paper proposes an algorithm for generating planned speed profile based on improved genetic algorithm. This improved genetic algorithm aims to achieve multi-objective optimization of on-time, accurate parking, energy saving and comfort and improve the optimization efficiency of traditional genetic algorithms. The simulation results show that the proposed algorithm can satisfy the basic constraints of safe, punctual and accurate stopping of trains. The algorithm also reduces the operation energy consumption and improves the operation comfort.