考虑车数限制的城市轨道交通非对称时刻表优化
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作者:
作者单位:

1.清华大学;2.国家高速列车青岛技术创新中心

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中图分类号:

U292.4

基金项目:

国家高速列车技术创新中心研发项目:“新型高效能城市轨道交通系统建模与综合智能优化”(批准号Grant No. CX/KJ-2020- 0006)


Optimization of Asymmetric Timetable in Urban Rail Transit Considering Train Quantity Restriction
Author:
Affiliation:

1.Tsinghua University;2.National Innovation Center of High Speed Train

Fund Project:

National Innovation Center of High Speed Train R&D project: “Modeling and comprehensive intelligent optimization for new high efficiency urban rail transit system” (Grant No. CX/KJ-2020- 0006)

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    摘要:

    在城市轨道交通中,优化时刻表是提高能效、改善乘客体验的重要手段.潮汐客流给时刻表的优化带来了较大的困难.此外,地铁建设期购置多少列车、运营期如何在有限车数下制定时刻表也是常常被忽视的问题.针对这些问题,本文以列车发车间隔为决策变量,构建了列车运行模型、乘客行为模型,考虑了车数限制条件,设计了列车能效与乘客体验的优化目标,建立了一个非线性多目标优化问题.该问题采用NSGA-II算法进行求解.本文以某城市某条地铁线路作为算例.在该算例里,通过放宽车数限制最多可以节能11.1%,同时增加车辆储备带来的边际效益递减;通过设计非对称的时刻表,可以在列车能效上最多得到4.6%的优化.当客流具有潮汐特征时,通过设计非对称时刻表可以带来显著的收益.

    Abstract:

    Optimizing timetable is an important method to enhance energy efficiency and passenger experience in urban rail transit systems. Tidal passenger flow brings difficulties to the optimization of timetable.In the meantime, train quantity restriction is necessary but got little attention in previous studies. To solve these problems, a nonlinear multi-objective optimizing problem considering train quantity restriction is proposed in this paper. The decision variables are train headway at the origin station. Two optimization objectives,which are train energy efficiency and passenger experience, are designed based on train operation model and passenger behavior model. NSGA-II algorithm is used to solve this multi-objective problem. One case study is conducted to evaluate the performance of timetable given train quantity based on the real data. The results show that by relaxing the limit on the train quantity, the energy efficiency can be improved by up to 11.1%, and that by designing an asymmetric timetable, the train efficiency can be improved by up to 4.6%.When the passenger flow has tidal characteristics, significant benefits can be achieved by designing asymmetric timetable.

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  • 收稿日期:2021-10-20
  • 最后修改日期:2022-04-28
  • 录用日期:2022-05-13
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