Abstract: Timing and energy saving for subway train is a multi-objective optimization problem. The timing and energy saving model for the train was built based on timing and energy saving optimization. The multi-objective genetic algorithm was used to find an answer of optimal driving strategy. In this method, the complex multi-objective optimization problem was decomposed into several sub problems with the idea of decomposition and coordination, through analyzing the different stress states during the train running, considering the constraints such as the speed limit, the maximum acceleration, fixed point parking, and etc., the optimal solution was obtained by means of linear weighting and iteration. Finally, a numerical example and simulation results showed that the proposed algorithm was effective.