Research on Optimisation Strategies of Energy Saving Train Operation Control

This study is dedicated to solving the complex interchanging patterns adopted by urban rail transit trains in China due to the complexity of passenger flow characteristics, with special focus on the optimisation of urban rail transit train schedules. Through an in-depth study of the operational data under the large and small crossing modes, this paper proposes an effective train schedule optimisation proposal based on the primary and secondary objective planning, using the hierarchical sequence method and the weighting method, and taking the time cost as the core consideration. The study uses cross-section passenger flow diagrams to determine the alternative set, introduces the primary and secondary objective planning and hierarchical sequence method, and constructs a dual-objective nonlinear mixed-integer planning model with the primary objective of satisfying passenger flow demand, combined with the secondary objectives of enterprise operation cost and service level. Through the MATLAB programme solution, the optimal train operation scheme was derived, including the operation interval of small interchanges, and the number of large and small interchanges. Through sensitivity analysis, the study found that the passenger flow has little influence on the selection of the starting and ending points of the minor interchanges, indicating that the model has good robustness. This study provides a practical optimisation scheme to alleviate urban traffic pressure.