An analytical method to calculate station evacuation capacity
The major objective of this work was to calculate evacuation capacity and solve the optimal routing problem in a given station topology from a network optimization perspective where station facilities were modelled as open finite queueing networks with a multi-objective set of performance measures....
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| Published in | Journal of Central South University Vol. 21; no. 10; pp. 4043 - 4050 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
Central South University
01.10.2014
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| Subjects | |
| Online Access | Get full text |
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| Abstract | The major objective of this work was to calculate evacuation capacity and solve the optimal routing problem in a given station topology from a network optimization perspective where station facilities were modelled as open finite queueing networks with a multi-objective set of performance measures. The optimal routing problem was determined so that the number of evacuation passengers was maximized while the service level was higher than a certain criterion. An analytical technique for modelling open finite queueing networks, called the iteration generalized expansion method (IGEM), was utilized to calculate the desired outputs. A differential evolution algorithm was presented for determining the optimal routes. As demonstrated, the design methodology which combines the optimization and analytical queueing network models provides a very effective procedure for simultaneously determining the service level and the maximum number of evacuation passengers in the best evacuation routes. |
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| AbstractList | The major objective of this work was to calculate evacuation capacity and solve the optimal routing problem in a given station topology from a network optimization perspective where station facilities were modelled as open finite queueing networks with a multi-objective set of performance measures. The optimal routing problem was determined so that the number of evacuation passengers was maximized while the service level was higher than a certain criterion. An analytical technique for modelling open finite queueing networks, called the iteration generalized expansion method (IGEM), was utilized to calculate the desired outputs. A differential evolution algorithm was presented for determining the optimal routes. As demonstrated, the design methodology which combines the optimization and analytical queueing network models provides a very effective procedure for simultaneously determining the service level and the maximum number of evacuation passengers in the best evacuation routes. |
| Author | Zhou, Yan-fang 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 Laboratory of Rail Traffic Control & Safety, Beijing Jiaotong University, School of Traffic and Transportation, Beijing Jiaotong University – sequence: 2 givenname: Jun surname: Liu fullname: Liu, Jun organization: School of Traffic and Transportation, Beijing Jiaotong University – sequence: 3 givenname: Hai-ying surname: Li fullname: Li, Hai-ying organization: State Key Laboratory of Rail Traffic Control & Safety, Beijing Jiaotong University – sequence: 4 givenname: Yan-fang surname: Zhou fullname: Zhou, Yan-fang organization: Research Institute of Highway of Ministry of Transport |
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| Keywords | queuing network subway station service level evacuation capacity genetic algorithms optimal routing |
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| Title | An analytical method to calculate station evacuation capacity |
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