Application of Genetic Algorithm in Automatic Train Operation

作者：Wang, Guiyang; Xiao, Shuo; Chen, Xi^*; Li, Xin

来源：Wireless Personal Communications, 2018, 102(2): 1695-1704.

DOI：10.1007/s11277-017-5228-6

• Automatic train driving
• Genetic algorithm
• Intelligent control
• Speed curve

This paper designs the performance index of the automatic train operation (ATO) speed curve model. In addition, based on the principle of genetic algorithm, it optimizes the ATO speed curve. At last, combined with train operation route and train parameters, we design the optimization process of the ATO speed curve in details. System speed protection index, punctuality index, accurate parking index, comfort index and energy saving index meet the requirements, and at the same time achieve the purpose of optimal optimization. The result of this paper shows that using the characteristics of global optimization of genetic algorithm has significant advantages in solving the optimization of complex nonlinear ATO speed curve. Therefore, it can be concluded that it is feasible and advantageous to apply genetic algorithm to the optimization of ATO speed curve, which has reference value in the practical application of ATO speed curve optimization.

• 出版日期2018-9
• 单位中国矿业大学（北京）