An Optimal Operation Scheme Considering Multiple Factors for Automatic High-Speed Train

Firstly, the stress of the train is analyzed. According to the train force, the dynamic model of train operation is constructed. In view of the performance that the train needs to meet during operation, an optimization model of train energy-saving operation is established. Based on this model, an optimal train operation scheme is obtained by using genetic algorithm. First, the operating interval is partitioned according to the gradient value. Then, by searching the target speed value of each interval, the optimal scheme of automatic train driving with minimum energy consumption is obtained. The correctness of the scheme is verified by comparing with the results of maximum capacity operation.