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Optimization of train plan of full-length short-turn routing mode based on data analysis

机译:基于数据分析的全长短程转乘模式列车计划的优化

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According to the analysis of passenger travel behavior, the properties of the full-length & short-turn routing mode and huge amounts of AFC data processed by CLEMENTINE, a multi-objective nonlinear mixed integer programming optimization model of train plan for a single transit line is established. The objective functions are minimum passenger travel cost and enterprise operation cost. In order to validate the feasibility of the model, Matlab software can be used to figure out the solution to a case based on TOPSIS which can convert the above model into the single objective model. The validity of the model is verified by a case, and the sensitivities of upper limit of train load factor and positions of turn-back stations are also analyzed. The results indicate that compared with single routing mode, full-length & short-turn routing mode is better and the length of short-turn routing and train frequencies have a great impact.
机译:根据对乘客出行行为的分析,CLEMENTINE处理的全长和短匝路线模式以及大量AFC数据的特性,这是一个单路线公交计划的多目标非线性混合整数规划优化模型成立。目标函数是最低旅客旅行成本和企业运营成本。为了验证该模型的可行性,可以使用Matlab软件找出基于TOPSIS的案例的解决方案,该解决方案可以将上述模型转换为单个目标模型。通过实例验证了模型的有效性,并分析了列车荷载系数上限和折返站位置的敏感性。结果表明,与单路由模式相比,全长和短匝路由模式更好,短匝路由的长度和列车频率有很大的影响。

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