Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window
This paper proposes an optimization model for the train operation scheme of the Airport Express Line (AEL) based on the expected arrival time of passengers by the introduction of the train departure time to cope with the time-dependent passenger flow and provide better prompt train service according...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2024/2206358 |
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| _version_ | 1832543609513050112 |
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| author | Jin He Yinzhen Li Yuhong Chao Ruhu Gao |
| author_facet | Jin He Yinzhen Li Yuhong Chao Ruhu Gao |
| author_sort | Jin He |
| collection | DOAJ |
| description | This paper proposes an optimization model for the train operation scheme of the Airport Express Line (AEL) based on the expected arrival time of passengers by the introduction of the train departure time to cope with the time-dependent passenger flow and provide better prompt train service according to passengers’ demand. Considering factors such as train sections, station arrangement, passenger capacity, departure time windows, passenger flow conservation, and boarding and disembarkation processes, this paper also aims to find the optimal combination of the passengers’ total travel time and the train operation cost. A set of alternative train options is introduced to simplify the model and convert integer variables related to train pairs into 0-1 variables. The elaborately designed simulated annealing algorithm mainly focuses on the key elements of strategies like initial solution generation, neighborhood solution construction, and the allocation of passenger flows, tailored to the model’s unique features and the time-dependent passenger flow. Neighborhood solution strategies include the increase or haut of train operations and the adjustment of the number of stops, which refines the solution space and boosts the process efficiency of the heuristic algorithm. Additionally, the model and algorithm proposed in this paper are practiced during the peak hour of Nanjing Metro Line S1 for empirical validation. The research findings demonstrate that the optimized train operation scheme is better synchronized with the fluctuating number of time-dependent passenger flows and exhibits notable improvement in computational efficiency and convergence. |
| format | Article |
| id | doaj-art-f516b334d45143cd9e8d20e8d597d054 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-f516b334d45143cd9e8d20e8d597d0542025-02-03T11:39:00ZengWileyJournal of Advanced Transportation2042-31952024-01-01202410.1155/2024/2206358Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time WindowJin He0Yinzhen Li1Yuhong Chao2Ruhu Gao3School of Traffic and TransportationSchool of Traffic and TransportationCRRC P&D Institute Co., Ltd.School of Traffic and TransportationThis paper proposes an optimization model for the train operation scheme of the Airport Express Line (AEL) based on the expected arrival time of passengers by the introduction of the train departure time to cope with the time-dependent passenger flow and provide better prompt train service according to passengers’ demand. Considering factors such as train sections, station arrangement, passenger capacity, departure time windows, passenger flow conservation, and boarding and disembarkation processes, this paper also aims to find the optimal combination of the passengers’ total travel time and the train operation cost. A set of alternative train options is introduced to simplify the model and convert integer variables related to train pairs into 0-1 variables. The elaborately designed simulated annealing algorithm mainly focuses on the key elements of strategies like initial solution generation, neighborhood solution construction, and the allocation of passenger flows, tailored to the model’s unique features and the time-dependent passenger flow. Neighborhood solution strategies include the increase or haut of train operations and the adjustment of the number of stops, which refines the solution space and boosts the process efficiency of the heuristic algorithm. Additionally, the model and algorithm proposed in this paper are practiced during the peak hour of Nanjing Metro Line S1 for empirical validation. The research findings demonstrate that the optimized train operation scheme is better synchronized with the fluctuating number of time-dependent passenger flows and exhibits notable improvement in computational efficiency and convergence.http://dx.doi.org/10.1155/2024/2206358 |
| spellingShingle | Jin He Yinzhen Li Yuhong Chao Ruhu Gao Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window Journal of Advanced Transportation |
| title | Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window |
| title_full | Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window |
| title_fullStr | Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window |
| title_full_unstemmed | Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window |
| title_short | Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window |
| title_sort | optimization of the operation plan of airport express train with consideration of train departure time window |
| url | http://dx.doi.org/10.1155/2024/2206358 |
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