Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study
•Introduce a problem how to passenger flow control under uncertain demand.•Propose an analysis framework of subway station service capacity for passenger flow control.•Develop a simulation-based algorithm embedded genetic algorithm and data envelopment analysis to solve these models.•Provide a real-...
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| Published in | Transportation research. Part E, Logistics and transportation review Vol. 87; pp. 130 - 148 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Exeter
Elsevier India Pvt Ltd
01.03.2016
Elsevier Sequoia S.A |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1366-5545 1878-5794 |
| DOI | 10.1016/j.tre.2016.01.004 |
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| Abstract | •Introduce a problem how to passenger flow control under uncertain demand.•Propose an analysis framework of subway station service capacity for passenger flow control.•Develop a simulation-based algorithm embedded genetic algorithm and data envelopment analysis to solve these models.•Provide a real-world large-scale case study with detailed analysis results.
This paper proposes a problem of passenger flow organization in subway stations under uncertain demand. The existing concepts of station service capacity are extended and further classified into three in different demand scenarios. Mathematical models are put forward to measure the three capacities and a unified simulation-based algorithm is developed to solve them. To increase computing speed, data envelopment analysis (DEA) and genetic algorithms (GA) are embedded in this algorithm. A case study will demonstrate the performance of the proposed algorithm and give a detailed procedure of passenger flow control based on station service capacity in various demand scenarios. |
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| AbstractList | This paper proposes a problem of passenger flow organization in subway stations under uncertain demand. The existing concepts of station service capacity are extended and further classified into three in different demand scenarios. Mathematical models are put forward to measure the three capacities and a unified simulation-based algorithm is developed to solve them. To increase computing speed, data envelopment analysis (DEA) and genetic algorithms (GA) are embedded in this algorithm. A case study will demonstrate the performance of the proposed algorithm and give a detailed procedure of passenger flow control based on station service capacity in various demand scenarios. •Introduce a problem how to passenger flow control under uncertain demand.•Propose an analysis framework of subway station service capacity for passenger flow control.•Develop a simulation-based algorithm embedded genetic algorithm and data envelopment analysis to solve these models.•Provide a real-world large-scale case study with detailed analysis results. This paper proposes a problem of passenger flow organization in subway stations under uncertain demand. The existing concepts of station service capacity are extended and further classified into three in different demand scenarios. Mathematical models are put forward to measure the three capacities and a unified simulation-based algorithm is developed to solve them. To increase computing speed, data envelopment analysis (DEA) and genetic algorithms (GA) are embedded in this algorithm. A case study will demonstrate the performance of the proposed algorithm and give a detailed procedure of passenger flow control based on station service capacity in various demand scenarios. |
| Author | Jiang, Man Xu, Xin-yue Liu, Jun Li, Hai-ying |
| Author_xml | – sequence: 1 givenname: Xin-yue surname: Xu fullname: Xu, Xin-yue email: xxy_1983@163.com organization: State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China – sequence: 2 givenname: Jun surname: Liu fullname: Liu, Jun email: ljiu@bjtu.edu.cn organization: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China – sequence: 3 givenname: Hai-ying surname: Li fullname: Li, Hai-ying email: hyli@bjtu.edu.cn organization: State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China – sequence: 4 givenname: Man surname: Jiang fullname: Jiang, Man email: 13120855@bjtu.edu.cn organization: State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China |
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| Snippet | •Introduce a problem how to passenger flow control under uncertain demand.•Propose an analysis framework of subway station service capacity for passenger flow... This paper proposes a problem of passenger flow organization in subway stations under uncertain demand. The existing concepts of station service capacity are... |
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| SubjectTerms | Airports Algorithms Case studies Data envelopment analysis Demand Flow control Genetic algorithm Genetic algorithms Mathematical models Passengers Simulation Simulation optimization Station service capacity Stations Studies Subway station Subway stations Subways Transportation Uncertain demand |
| Title | Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study |
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