Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway
Due to high transport efficiency, reduced transfer time, and various other advantages, the joint operation of different rail transit systems emerges as the optimal choice for rail transit systems. This article mainly studies the line-planning problem under the line-sharing operation mode between met...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/8847456 |
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| _version_ | 1832547948526829568 |
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| author | Li Lin Xuelei Meng Xiaoqing Cheng Yangyang Ma Shichao Xu Zheng Han |
| author_facet | Li Lin Xuelei Meng Xiaoqing Cheng Yangyang Ma Shichao Xu Zheng Han |
| author_sort | Li Lin |
| collection | DOAJ |
| description | Due to high transport efficiency, reduced transfer time, and various other advantages, the joint operation of different rail transit systems emerges as the optimal choice for rail transit systems. This article mainly studies the line-planning problem under the line-sharing operation mode between metro and suburban railway. First, a complex multiobjective programming model is established to maximize the net profit of two operating companies and the time savings of passengers. The constraints of this model encompass passenger flow, available vehicles, line carrying capacity, station capacity, cross-line configuration, departure frequency, and variable value range. Second, the linear weighted sum method is introduced to consolidate three objective functions into a single one, while utilizing the improved artificial bee colony (IABC) algorithm to address the line-planning problem. Besides, the traditional artificial bee colony (TABC) algorithm and the simulated annealing (SA) algorithm are provided as comparison groups to solve the same numerical example problem. The results demonstrate significant reductions in travel time by adopting the line-sharing operation mode. In addition, the IABC algorithm exhibits better solution quality and higher efficiency than both the TABC and SA algorithms. The proposed method proves to be valuable in formulating and optimizing the line plan. |
| format | Article |
| id | doaj-art-cdaa1bbec69d465fbf57b6317633f0e0 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-cdaa1bbec69d465fbf57b6317633f0e02025-02-03T06:42:53ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/8847456Line Planning under the Operation Mode of Line Sharing between Metro and Suburban RailwayLi Lin0Xuelei Meng1Xiaoqing Cheng2Yangyang Ma3Shichao Xu4Zheng Han5School of Traffic and TransportationSchool of Traffic and TransportationState Key Laboratory of Rail Traffic Control and SafetyChina Railway Design CorporationSchool of Traffic and TransportationSchool of Traffic and TransportationDue to high transport efficiency, reduced transfer time, and various other advantages, the joint operation of different rail transit systems emerges as the optimal choice for rail transit systems. This article mainly studies the line-planning problem under the line-sharing operation mode between metro and suburban railway. First, a complex multiobjective programming model is established to maximize the net profit of two operating companies and the time savings of passengers. The constraints of this model encompass passenger flow, available vehicles, line carrying capacity, station capacity, cross-line configuration, departure frequency, and variable value range. Second, the linear weighted sum method is introduced to consolidate three objective functions into a single one, while utilizing the improved artificial bee colony (IABC) algorithm to address the line-planning problem. Besides, the traditional artificial bee colony (TABC) algorithm and the simulated annealing (SA) algorithm are provided as comparison groups to solve the same numerical example problem. The results demonstrate significant reductions in travel time by adopting the line-sharing operation mode. In addition, the IABC algorithm exhibits better solution quality and higher efficiency than both the TABC and SA algorithms. The proposed method proves to be valuable in formulating and optimizing the line plan.http://dx.doi.org/10.1155/2023/8847456 |
| spellingShingle | Li Lin Xuelei Meng Xiaoqing Cheng Yangyang Ma Shichao Xu Zheng Han Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway Journal of Advanced Transportation |
| title | Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway |
| title_full | Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway |
| title_fullStr | Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway |
| title_full_unstemmed | Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway |
| title_short | Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway |
| title_sort | line planning under the operation mode of line sharing between metro and suburban railway |
| url | http://dx.doi.org/10.1155/2023/8847456 |
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