Automatic train driving system (ATO) is the core of automatic train control, and is also an important guarantee for safe, stable and efficient operation of trains. Aiming at the complex and diverse control objectives of the automatic train driving system and the instability of the environmental variables, a multi-objective model of urban rail transit operation is established based on energy consumption, punctuality, accurate parking and comfort. The improved state space evolutionary algorithm is used to optimize the train operation target curve, and the train operation target curve is obtained...