Optimization of Urban Single-line Metro Timetable for Total Passenger Travel Time under Dynamic Passenger Demand
This paper studies the optimization of an urban single-line metro timetable for total passenger travel time adapted to dynamic passenger demand, which arises in an urban metro service and is a common problem in major cities. After analyzing the components of the total passenger travel time, a model...
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| Veröffentlicht in: | Procedia engineering Jg. 137; S. 151 - 160 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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2016
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| ISSN: | 1877-7058, 1877-7058 |
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| Abstract | This paper studies the optimization of an urban single-line metro timetable for total passenger travel time adapted to dynamic passenger demand, which arises in an urban metro service and is a common problem in major cities. After analyzing the components of the total passenger travel time, a model is presented with the aim of minimizing total passenger travel time. An S-pattern function is proposed to represent the cumulative demand function for each pair of origin and destination in an urban single-line metro. Furthermore, a spatial branch and bound algorithm that is applicable to the model is presented. The advantages of designing a timetable that optimizes the total passenger travel time adapted to dynamic passenger demand are depicted through extensive computational experiments on several cases derived from a real urban single-line metro. An extensive computational comparison of a regular timetable, a timetable optimizing average waiting time, and a timetable optimizing total passenger travel time timetable are performed. |
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| AbstractList | This paper studies the optimization of an urban single-line metro timetable for total passenger travel time adapted to dynamic passenger demand, which arises in an urban metro service and is a common problem in major cities. After analyzing the components of the total passenger travel time, a model is presented with the aim of minimizing total passenger travel time. An S-pattern function is proposed to represent the cumulative demand function for each pair of origin and destination in an urban single-line metro. Furthermore, a spatial branch and bound algorithm that is applicable to the model is presented. The advantages of designing a timetable that optimizes the total passenger travel time adapted to dynamic passenger demand are depicted through extensive computational experiments on several cases derived from a real urban single-line metro. An extensive computational comparison of a regular timetable, a timetable optimizing average waiting time, and a timetable optimizing total passenger travel time timetable are performed. |
| Author | Li, Ruimin Shang, Pan Yang, Liya |
| Author_xml | – sequence: 1 givenname: Pan surname: Shang fullname: Shang, Pan organization: Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China – sequence: 2 givenname: Ruimin surname: Li fullname: Li, Ruimin email: lrmin@tsinghua.edu.cn organization: Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China – sequence: 3 givenname: Liya surname: Yang fullname: Yang, Liya organization: School of Public Administration and Policy, Renmin University of China, Beijing 100872, China |
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| Cites_doi | 10.1080/10556780903087124 10.1016/j.trc.2013.08.016 10.1287/trsc.7.2.109 10.1016/S0098-1354(98)00027-1 10.1016/S0098-1354(98)00286-5 10.1016/j.ejor.2011.11.003 10.1016/j.trb.2010.09.001 10.1137/0402049 10.1016/j.ejor.2004.12.013 10.1016/j.trb.2014.08.013 10.1287/opre.50.5.851.362 10.1016/j.cor.2013.11.003 10.1287/inte.1080.0409 10.1287/trsc.35.2.181.10132 10.1016/0191-2615(94)90033-7 |
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| Keywords | train timetable dynamic demand regular timetable total passenger travel time spatial branch and bound algorithm |
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| SubjectTerms | dynamic demand regular timetable spatial branch and bound algorithm total passenger travel time train timetable |
| Title | Optimization of Urban Single-line Metro Timetable for Total Passenger Travel Time under Dynamic Passenger Demand |
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