Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment
A properly designed public transport system is expected to improve traffic efficiency. A high-frequency bus service would decrease the waiting time for passengers, but the interaction between buses and cars might result in more serious congestion. On the other hand, a low-frequency bus service would...
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| Format: | Article |
| Language: | English |
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Maximum Academic Press
2023-12-01
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| Series: | Digital Transportation and Safety |
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| Online Access: | https://www.maxapress.com/article/doi/10.48130/DTS-2023-0020 |
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| author | Kai Yuan Dandan Cui Jiancheng Long |
| author_facet | Kai Yuan Dandan Cui Jiancheng Long |
| author_sort | Kai Yuan |
| collection | DOAJ |
| description | A properly designed public transport system is expected to improve traffic efficiency. A high-frequency bus service would decrease the waiting time for passengers, but the interaction between buses and cars might result in more serious congestion. On the other hand, a low-frequency bus service would increase the waiting time for passengers and would not reduce the use of private cars. It is important to strike a balance between high and low frequencies in order to minimize the total delays for all road users. It is critical to formulate the impacts of bus frequency on congestion dynamics and mode choices. However, as far as the authors know, most proposed bus frequency optimization formulations are based on static demand and the Bureau of Public Roads function, and do not properly consider the congestion dynamics and their impacts on mode choices. To fill this gap, this paper proposes a bi-level optimization model. A three-dimensional Macroscopic Fundamental Diagram based modeling approach is developed to capture the bi-modal congestion dynamics. A variational inequality model for the user equilibrium in mode choices is presented and solved using a double projection algorithm. A surrogate model-based algorithm is used to solve the bi-level programming problem. |
| format | Article |
| id | doaj-art-61005231a9ca457aaeef255176abd10a |
| institution | OA Journals |
| issn | 2837-7842 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Maximum Academic Press |
| record_format | Article |
| series | Digital Transportation and Safety |
| spelling | doaj-art-61005231a9ca457aaeef255176abd10a2025-08-20T02:12:30ZengMaximum Academic PressDigital Transportation and Safety2837-78422023-12-012424125210.48130/DTS-2023-0020DTS-2023-0020Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignmentKai Yuan0Dandan Cui1Jiancheng Long2School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, Anhui, ChinaSchool of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, Anhui, ChinaSchool of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, Anhui, ChinaA properly designed public transport system is expected to improve traffic efficiency. A high-frequency bus service would decrease the waiting time for passengers, but the interaction between buses and cars might result in more serious congestion. On the other hand, a low-frequency bus service would increase the waiting time for passengers and would not reduce the use of private cars. It is important to strike a balance between high and low frequencies in order to minimize the total delays for all road users. It is critical to formulate the impacts of bus frequency on congestion dynamics and mode choices. However, as far as the authors know, most proposed bus frequency optimization formulations are based on static demand and the Bureau of Public Roads function, and do not properly consider the congestion dynamics and their impacts on mode choices. To fill this gap, this paper proposes a bi-level optimization model. A three-dimensional Macroscopic Fundamental Diagram based modeling approach is developed to capture the bi-modal congestion dynamics. A variational inequality model for the user equilibrium in mode choices is presented and solved using a double projection algorithm. A surrogate model-based algorithm is used to solve the bi-level programming problem.https://www.maxapress.com/article/doi/10.48130/DTS-2023-0020three-dimensional macroscopic fundamental diagramdynamic traffic assignmentbi-level programming modeldouble projection algorithmsurrogate model-based algorithm |
| spellingShingle | Kai Yuan Dandan Cui Jiancheng Long Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment Digital Transportation and Safety three-dimensional macroscopic fundamental diagram dynamic traffic assignment bi-level programming model double projection algorithm surrogate model-based algorithm |
| title | Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment |
| title_full | Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment |
| title_fullStr | Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment |
| title_full_unstemmed | Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment |
| title_short | Bus frequency optimization in a large-scale multi-modal transportation system: integrating 3D-MFD and dynamic traffic assignment |
| title_sort | bus frequency optimization in a large scale multi modal transportation system integrating 3d mfd and dynamic traffic assignment |
| topic | three-dimensional macroscopic fundamental diagram dynamic traffic assignment bi-level programming model double projection algorithm surrogate model-based algorithm |
| url | https://www.maxapress.com/article/doi/10.48130/DTS-2023-0020 |
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