Urban Rail Transit Scheduling under Time-Varying Passenger Demand
In view of the conflict between the time-variation of urban rail transit passenger demand and the homogeneity of the train timetable, this paper takes into account the interests of both passengers and operators to build an urban rail transit scheduling model to acquire an optimized time-dependent tr...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/7285148 |
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| _version_ | 1832558747000504320 |
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| author | Xing Zhao Zhongyan Hou Jihuai Chen Yin Zhang Junying Sun |
| author_facet | Xing Zhao Zhongyan Hou Jihuai Chen Yin Zhang Junying Sun |
| author_sort | Xing Zhao |
| collection | DOAJ |
| description | In view of the conflict between the time-variation of urban rail transit passenger demand and the homogeneity of the train timetable, this paper takes into account the interests of both passengers and operators to build an urban rail transit scheduling model to acquire an optimized time-dependent train timetable. Based on the dynamic passenger volumes of origin-destination pairs from the automatic fare collection system, the model focuses on minimizing the total passenger waiting time with constraints on time interval between two consecutive trains, number and capacity of trains available, and load factor of trains. A hybrid algorithm which consists of the main algorithm based on genetic algorithm and the nested algorithm based on train traction calculation and safety distance requirement is designed to solve the model. To justify the effectiveness and the practical value of the proposed model and algorithm, a case of Nanjing Metro Line S1 is illustrated in this paper. The result shows that the optimized train timetable has advantage compared to the original one. |
| format | Article |
| id | doaj-art-a842102b61b54514b0ee78b29a688a74 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-a842102b61b54514b0ee78b29a688a742025-02-03T01:31:43ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/72851487285148Urban Rail Transit Scheduling under Time-Varying Passenger DemandXing Zhao0Zhongyan Hou1Jihuai Chen2Yin Zhang3Junying Sun4College of Civil and Transportation Engineering, Hohai University, No. 1, Xikang Road, Nanjing 210098, ChinaCollege of Civil and Transportation Engineering, Hohai University, No. 1, Xikang Road, Nanjing 210098, ChinaCollege of Civil and Transportation Engineering, Hohai University, No. 1, Xikang Road, Nanjing 210098, ChinaCollege of Civil and Transportation Engineering, Hohai University, No. 1, Xikang Road, Nanjing 210098, ChinaCollege of Civil and Transportation Engineering, Hohai University, No. 1, Xikang Road, Nanjing 210098, ChinaIn view of the conflict between the time-variation of urban rail transit passenger demand and the homogeneity of the train timetable, this paper takes into account the interests of both passengers and operators to build an urban rail transit scheduling model to acquire an optimized time-dependent train timetable. Based on the dynamic passenger volumes of origin-destination pairs from the automatic fare collection system, the model focuses on minimizing the total passenger waiting time with constraints on time interval between two consecutive trains, number and capacity of trains available, and load factor of trains. A hybrid algorithm which consists of the main algorithm based on genetic algorithm and the nested algorithm based on train traction calculation and safety distance requirement is designed to solve the model. To justify the effectiveness and the practical value of the proposed model and algorithm, a case of Nanjing Metro Line S1 is illustrated in this paper. The result shows that the optimized train timetable has advantage compared to the original one.http://dx.doi.org/10.1155/2018/7285148 |
| spellingShingle | Xing Zhao Zhongyan Hou Jihuai Chen Yin Zhang Junying Sun Urban Rail Transit Scheduling under Time-Varying Passenger Demand Journal of Advanced Transportation |
| title | Urban Rail Transit Scheduling under Time-Varying Passenger Demand |
| title_full | Urban Rail Transit Scheduling under Time-Varying Passenger Demand |
| title_fullStr | Urban Rail Transit Scheduling under Time-Varying Passenger Demand |
| title_full_unstemmed | Urban Rail Transit Scheduling under Time-Varying Passenger Demand |
| title_short | Urban Rail Transit Scheduling under Time-Varying Passenger Demand |
| title_sort | urban rail transit scheduling under time varying passenger demand |
| url | http://dx.doi.org/10.1155/2018/7285148 |
| work_keys_str_mv | AT xingzhao urbanrailtransitschedulingundertimevaryingpassengerdemand AT zhongyanhou urbanrailtransitschedulingundertimevaryingpassengerdemand AT jihuaichen urbanrailtransitschedulingundertimevaryingpassengerdemand AT yinzhang urbanrailtransitschedulingundertimevaryingpassengerdemand AT junyingsun urbanrailtransitschedulingundertimevaryingpassengerdemand |