Timetable optimization method based on regenerated energy utilization and passenger travel time

The invention discloses a timetable optimization method based on regenerated energy utilization and passenger travel time, and belongs to the technical field of rail transit. Comprising the following steps: S1, measuring utilization of regenerated energy based on train motor power curve overlapping; s2, measuring the influence of timetable optimization on the passengers based on the average travel time of the passengers; s3, establishing a mathematical model of a timetable based on the data in S1 and S2: establishing a dual-objective optimization model of minimum total energy consumption of the system and minimum average travel time of passengers by taking station dwell time as a decision variable; and S4, associating and solving the dual-objective optimization model by adopting an NSGA-II algorithm, designing crossover and mutation operators according to composition structure characteristics of the train timetable, and solving an optimal Pareto solution set. According to the method, the energy-saving optimiz