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 |
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| Hauptverfasser: | , , , , , |
| 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. |
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| 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 givenname: Yihui surname: Wang fullname: Wang, Yihui 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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| 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 |
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