A two-layer optimization model for high-speed railway line planning

Abstract：Line planning is the first important strategic element in the railway operation planning process,which will directly affect the successive planning to determine the efficiency of the whole railway system.A two-layer optimization model is proposed within a simulation framework to deal with the high-speed railway (HSR) line planning problem.In the model,the top layer aims at achieving an optimal stop-schedule set with the service frequencies,and is formulated as a nonlinear program,solved by genetic algorithm.The objective of top layer is to minimize the total operation cost and unserved passenger volume.Given a specific stop-schedule,the bottom layer focuses on weighted passenger flow assignment,formulated as a mixed integer program with the objective of maximizing the served passenger volume and minimizing the total travel time for all passengers.The case study on Taiwan HSR shows that the proposed two-layer model is better than the existing techniques.In addition,this model is also illustrated with the Beijing-Shanghai HSR in China.The result shows that the two-layer optimization model can reduce computation complexity and that an optimal set of stop-schedules can always be generated with less calculation time. 作者： Author： Li WANG  Li-min JIA  Yong QIN  Jie XU  Wen-ring MO 作者單位： State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China 期 刊： 浙江大學學報（英文版）（A輯：應用物理和工程）   ISTICEISCI Journal： Journal of Zhejiang University Science A 年，卷(期)： 2011, 12(12) 分類號： U292 Keywords： Line plan    Stop-schedule    Passenger assignment    High-speed railway (HSR)    機標分類號： TP3 TE6 機標關鍵詞： optimization model    computation complexity    operation planning    flow assignment    bottom layer    travel time    total    case study    HSR    framework    deal with    addition    service    focuses    set    better    aims 基金項目： the National Natural Science Foundation of China，the National Key Technology R&D Program of China，the Research Fund of the State Key Laboratory of Rail Traffic Control and Safety，the Research Fund of Beijing Jiaotong University

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