Integrated Optimization of High-speed Rail Train Stopping Plan and Diagram for Newly-added Passenger Flow

To improve the operational efficiency of high-speed railway transportation systems and adapt the train capacity to passenger demand during holidays, an integrated optimization model for train station planning and timetabling was proposed, which considers constrains including train service frequency, train station dwell time, and train safety gaps with the objective of minimizing the total travel time of additional trains. A 0-1 nonlinear feature was addressed in the model, and a time-space two-dimensional network was constructed to depict the original train trajectories. Genetic algorithm (GA) and whale algorithm were separately designed to solve the spatiotemporal trajectories of the additional trains obtaining their station planning and timetables, and part of the Beijing-Shanghai high-speed railway were used as a case for verification. Result shows that under the same combination conditions, compared with GA, the whale algorithm can optimize the total travel time of the trains by 7. 18% . Therefore, the whale optimization algorithm, which is employed to solve the proposed model, can obtain efficient new train stopping of existing trains, meeting the travel needs of new passengers and providing reference for further improving the transportation efficiency of high-speed rail systems.