Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line

•We address the integration of passenger demand oriented train scheduling and rolling stock circulation for urban rail transit lines.•We propose three optimization methods to construct the train schedule and rolling stock circulation plan simultaneously.•We investigate the benefits of the integratio...

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Veröffentlicht in:Transportation research. Part B: methodological Jg. 118; S. 193 - 227
Hauptverfasser: Wang, Yihui, D’Ariano, Andrea, Yin, Jiateng, Meng, Lingyun, Tang, Tao, Ning, Bin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.12.2018
Elsevier Science Ltd
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ISSN:0191-2615, 1879-2367
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Abstract •We address the integration of passenger demand oriented train scheduling and rolling stock circulation for urban rail transit lines.•We propose three optimization methods to construct the train schedule and rolling stock circulation plan simultaneously.•We investigate the benefits of the integration, the performance comparison between the proposed approaches, and the sensitivity analysis.•Our integrated model and solution methods can be used in rail practice to obtain better train schedules and circulation plans automatically. We study the integration of train scheduling and rolling stock circulation planning under time-varying passenger demand for an urban rail transit line, where the practical train operation constraints, e.g., the capacity of trains, the number of available rolling stocks, and the entering/exiting depot operations, are considered. Three solution approaches are proposed to solve the resulting multi-objective mixed-integer nonlinear programming (MINLP) problem to deliver both an irregular train schedule (i.e., departure and arrival times of all train services) and a rolling stock circulation plan (including entering/exiting depot operations of rolling stocks and connections between train services) simultaneously. We first present an iterative nonlinear programming (INP) approach, where the solutions of the original MINLP problem are obtained by solving a nonlinear programming problem and a mixed integer linear programming (MILP) problem iteratively. Moreover, an equivalent MILP formulation of the original MINLP model is developed and an approximated MILP approach is proposed to reduce the number of constraints introduced by passenger demand. A case study is conducted based on the practical data of the Beijing Yizhuang line, where the three proposed approaches are compared with a state-of-the-art approach and a practical method used by the traffic planners. This comparison shows the effectiveness and efficiency of the three proposed approaches.
AbstractList We study the integration of train scheduling and rolling stock circulation planning under time-varying passenger demand for an urban rail transit line, where the practical train operation constraints, e.g., the capacity of trains, the number of available rolling stocks, and the entering/exiting depot operations, are considered. Three solution approaches are proposed to solve the resulting multi-objective mixed-integer nonlinear programming (MINLP) problem to deliver both an irregular train schedule (i.e., departure and arrival times of all train services) and a rolling stock circulation plan (including entering/exiting depot operations of rolling stocks and connections between train services) simultaneously. We first present an iterative nonlinear programming (INP) approach, where the solutions of the original MINLP problem are obtained by solving a nonlinear programming problem and a mixed integer linear programming (MILP) problem iteratively. Moreover, an equivalent MILP formulation of the original MINLP model is developed and an approximated MILP approach is proposed to reduce the number of constraints introduced by passenger demand. A case study is conducted based on the practical data of the Beijing Yizhuang line, where the three proposed approaches are compared with a state-of-the-art approach and a practical method used by the traffic planners. This comparison shows the effectiveness and efficiency of the three proposed approaches.
•We address the integration of passenger demand oriented train scheduling and rolling stock circulation for urban rail transit lines.•We propose three optimization methods to construct the train schedule and rolling stock circulation plan simultaneously.•We investigate the benefits of the integration, the performance comparison between the proposed approaches, and the sensitivity analysis.•Our integrated model and solution methods can be used in rail practice to obtain better train schedules and circulation plans automatically. We study the integration of train scheduling and rolling stock circulation planning under time-varying passenger demand for an urban rail transit line, where the practical train operation constraints, e.g., the capacity of trains, the number of available rolling stocks, and the entering/exiting depot operations, are considered. Three solution approaches are proposed to solve the resulting multi-objective mixed-integer nonlinear programming (MINLP) problem to deliver both an irregular train schedule (i.e., departure and arrival times of all train services) and a rolling stock circulation plan (including entering/exiting depot operations of rolling stocks and connections between train services) simultaneously. We first present an iterative nonlinear programming (INP) approach, where the solutions of the original MINLP problem are obtained by solving a nonlinear programming problem and a mixed integer linear programming (MILP) problem iteratively. Moreover, an equivalent MILP formulation of the original MINLP model is developed and an approximated MILP approach is proposed to reduce the number of constraints introduced by passenger demand. A case study is conducted based on the practical data of the Beijing Yizhuang line, where the three proposed approaches are compared with a state-of-the-art approach and a practical method used by the traffic planners. This comparison shows the effectiveness and efficiency of the three proposed approaches.
Author Meng, Lingyun
D’Ariano, Andrea
Tang, Tao
Yin, Jiateng
Ning, Bin
Wang, Yihui
Author_xml – sequence: 1
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  surname: Wang
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  email: yihui.wang@bjtu.edu.cn
  organization: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, PR China
– sequence: 2
  givenname: Andrea
  surname: D’Ariano
  fullname: D’Ariano, Andrea
  email: a.dariano@ing.uniroma3.it
  organization: Deparment of Engineering, Roma Tre University, via della vasca navale 79, Rome 00146, Italy
– sequence: 3
  givenname: Jiateng
  surname: Yin
  fullname: Yin, Jiateng
  email: jiatyin@bjtu.edu.cn
  organization: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, PR China
– sequence: 4
  givenname: Lingyun
  surname: Meng
  fullname: Meng, Lingyun
  email: lymeng@bjtu.edu.cn
  organization: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, PR China
– sequence: 5
  givenname: Tao
  surname: Tang
  fullname: Tang, Tao
  email: ttang@bjtu.edu.cn
  organization: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, PR China
– sequence: 6
  givenname: Bin
  surname: Ning
  fullname: Ning, Bin
  email: bning@bjtu.edu.cn
  organization: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, PR China
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Keywords Iterative nonlinear programming
Urban rail transit
MILP
Train scheduling
Rolling stock circulation
Language English
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Snippet •We address the integration of passenger demand oriented train scheduling and rolling stock circulation for urban rail transit lines.•We propose three...
We study the integration of train scheduling and rolling stock circulation planning under time-varying passenger demand for an urban rail transit line, where...
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SubjectTerms Delivery scheduling
Integer programming
Iterative methods
Iterative nonlinear programming
Linear programming
MILP
Mixed integer
Multiple objective analysis
Nonlinear programming
Passengers
Railroad transportation
Rolling stock
Rolling stock circulation
Scheduling
State of the art
Train scheduling
Trains
Travel demand
Urban areas
Urban rail
Urban rail transit
Urban transportation
Title Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line
URI https://dx.doi.org/10.1016/j.trb.2018.10.006
https://www.proquest.com/docview/2163340946
Volume 118
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