Analysis of adding-runs strategy for peak-hour regular bus services
•Proposing a new adding-runs strategy for peak-hour bus services to alleviate crowding effects.•Developing a bi-level programming model for the optimal adding-runs strategy.•User heterogeneity is considered in model formulation.•Examining the effectiveness of the proposed adding-runs strategy numeri...
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| Published in: | Transportation research. Part E, Logistics and transportation review Vol. 143; p. 102100 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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01.11.2020
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| ISSN: | 1366-5545, 1878-5794 |
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| Abstract | •Proposing a new adding-runs strategy for peak-hour bus services to alleviate crowding effects.•Developing a bi-level programming model for the optimal adding-runs strategy.•User heterogeneity is considered in model formulation.•Examining the effectiveness of the proposed adding-runs strategy numerically.
This paper proposes an adding-runs strategy to alleviate in-vehicle crowding for peak-hour bus services. Passengers’ departure time choices under user equilibrium and system optimum conditions are investigated with and without adding-runs strategy. A bi-level programming model is developed to determine the optimal adding-runs strategy. An artificial bee colony algorithm is adopted to solve the proposed bi-level problem. Numerical examples show that the adding-runs strategy is effective in alleviating crowding effects and reducing schedule delay in peak-hour bus services. The total system cost can be reduced by more than 8% with the optimal adding-runs strategy. |
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| AbstractList | •Proposing a new adding-runs strategy for peak-hour bus services to alleviate crowding effects.•Developing a bi-level programming model for the optimal adding-runs strategy.•User heterogeneity is considered in model formulation.•Examining the effectiveness of the proposed adding-runs strategy numerically.
This paper proposes an adding-runs strategy to alleviate in-vehicle crowding for peak-hour bus services. Passengers’ departure time choices under user equilibrium and system optimum conditions are investigated with and without adding-runs strategy. A bi-level programming model is developed to determine the optimal adding-runs strategy. An artificial bee colony algorithm is adopted to solve the proposed bi-level problem. Numerical examples show that the adding-runs strategy is effective in alleviating crowding effects and reducing schedule delay in peak-hour bus services. The total system cost can be reduced by more than 8% with the optimal adding-runs strategy. |
| ArticleNumber | 102100 |
| Author | Cheng, Qixiu Huang, Di Liu, Zhiyuan An, Qinhe Fu, Xiao |
| Author_xml | – sequence: 1 givenname: Qinhe surname: An fullname: An, Qinhe – sequence: 2 givenname: Xiao surname: Fu fullname: Fu, Xiao – sequence: 3 givenname: Di surname: Huang fullname: Huang, Di – sequence: 4 givenname: Qixiu surname: Cheng fullname: Cheng, Qixiu – sequence: 5 givenname: Zhiyuan surname: Liu fullname: Liu, Zhiyuan email: zhiyuanl@seu.edu.cn |
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| Keywords | Adding bus runs User equilibrium System optimum Bi-level programming problem Peak-hour crowding |
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