To address the challenges in formulating train operation schemes in the implementation of"Daily Train Timetabling",a two-layer planning model based on passenger flow demands was constructed.Under given constraints,the lower layer involves stochastic user equilibrium allocation,while controlling maximum occupancy rates on critical sections,and utilizes the simulated annealing algorithm for solution.For testing this model,Shanghai-Nanjing Intercity High-speed Railway was taken as a case for study.The results of analysis reveal that the proposed model shows high computational efficiency,significantly alleviating the inefficiencies inherent in manually devising train operation schemes.The optimization method thus demonstrates considerable practical significance.
simulated annealing algorithmtrain operation schemesDaily Train Timetablingtwo-layer planning model
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