Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints
There is a great need for estimation of passenger flow temporal and spatial distribution in urban rail transit network. The literature review indicates that passenger flow assignment models considering capacity constraints with overload delay factor for in-vehicle crowding are limited in schedule-ba...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/940815 |
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| author | Baoming Han Weiteng Zhou Dewei Li Haodong Yin |
| author_facet | Baoming Han Weiteng Zhou Dewei Li Haodong Yin |
| author_sort | Baoming Han |
| collection | DOAJ |
| description | There is a great need for estimation of passenger flow temporal and spatial distribution in urban rail transit network. The literature review indicates that passenger flow assignment models considering capacity constraints with overload delay factor for in-vehicle crowding are limited in schedule-based network. This paper proposes a stochastic user equilibrium model for solving the assignment problem in a schedule-based rail transit network with considering capacity constraint. As splitting the origin-destination demands into the developed schedule expanded network with time-space paths, the model transformed into a dynamic schedule-based assignment model. The stochastic user equilibrium conditions can be equivalent to the equilibrium passenger overload delay with crowding penalty in the transit network. The proposal model can estimate the path choice probability according to the equilibrium condition when passengers minimize their perceptive cost in a schedule-based network. Numerical example in Beijing urban rail transit (BURT) network is used to demonstrate the performance of the model and estimate the passenger flow temporal and spatial distribution more reasonably and dynamically with train capacity constraints. |
| format | Article |
| id | doaj-art-a0caea15953742b88f823b0abaf3cac0 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-a0caea15953742b88f823b0abaf3cac02025-02-03T05:44:47ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/940815940815Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity ConstraintsBaoming Han0Weiteng Zhou1Dewei Li2Haodong Yin3School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaThere is a great need for estimation of passenger flow temporal and spatial distribution in urban rail transit network. The literature review indicates that passenger flow assignment models considering capacity constraints with overload delay factor for in-vehicle crowding are limited in schedule-based network. This paper proposes a stochastic user equilibrium model for solving the assignment problem in a schedule-based rail transit network with considering capacity constraint. As splitting the origin-destination demands into the developed schedule expanded network with time-space paths, the model transformed into a dynamic schedule-based assignment model. The stochastic user equilibrium conditions can be equivalent to the equilibrium passenger overload delay with crowding penalty in the transit network. The proposal model can estimate the path choice probability according to the equilibrium condition when passengers minimize their perceptive cost in a schedule-based network. Numerical example in Beijing urban rail transit (BURT) network is used to demonstrate the performance of the model and estimate the passenger flow temporal and spatial distribution more reasonably and dynamically with train capacity constraints.http://dx.doi.org/10.1155/2015/940815 |
| spellingShingle | Baoming Han Weiteng Zhou Dewei Li Haodong Yin Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints The Scientific World Journal |
| title | Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints |
| title_full | Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints |
| title_fullStr | Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints |
| title_full_unstemmed | Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints |
| title_short | Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints |
| title_sort | dynamic schedule based assignment model for urban rail transit network with capacity constraints |
| url | http://dx.doi.org/10.1155/2015/940815 |
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