关键词: 列车运行调整, 鱼群算法, 最小晚点时间

Abstract: Due to characteristics of large scale, nonlinearity, strong constraint and difficulty to model, the problem of train operation adjustment is hard to be solved through general operational method. Based on artificial fish swarm algorithm, one adjustment method is firstly proposed and simultaneously the procedures are provided in detail. Specifically, the number of arrival-departure tracks of station and the train overtaking is taken into consideration and then the adjustment model of high-speed railway train is established to minimize the total delay time of train’s entering and leaving the station. Finally, through utilizing the Zhengzhou-Xi’an high-speed rail transport data, the simulation results verify the validity and convergence of proposed method.

Key words: train operation adjustment, fish swarm algorithm, minimum delay time