Research on Optimization of Intercity Railway Train Stop Planning Based on Train Scheduling Simulation Evaluation

To ensure the feasibility of optimized train stop planning, this paper proposes a novel optimization method. A train scheduling compilation simulation experiment was conducted based on train stop planning. Train scheduling was then evaluated for optimization of train stop planning. Specifically, random interference and dynamic matching of buffer time distribution and train stop planning were embedded into the simulation experiment. The resources occupied and stability of train scheduling were adopted as the objective function, and passenger demand, number of stops were used as constraints. Genetic algorithm and the resolution strategy of constraint conflict were designed to solve the model. Finally, numerical experiments were implemented based on the operational data of Shanghai-Nanjing intercity railway. Results showed that optimized train stop planning improves carrying capacity by 8.47% under the premise of ensuring good stability, which verifies the effectiveness and efficiency of the proposed approach.