A simulation-based dynamic traffic assignment model with combined modes
<p>This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing a mesoscopic simulation model. Several traffic means such as private car, subway, bus and bicycle are considered in the network. The mesoscopic simulator consists of a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2014-02-01
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| Series: | Promet (Zagreb) |
| Subjects: | |
| Online Access: | http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1252 |
| _version_ | 1818192761189302272 |
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| author | Meng Meng Chunfu Shao Jingjing Zeng Chunjiao Dong |
| author_facet | Meng Meng Chunfu Shao Jingjing Zeng Chunjiao Dong |
| author_sort | Meng Meng |
| collection | DOAJ |
| description | <p>This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing a mesoscopic simulation model. Several traffic means such as private car, subway, bus and bicycle are considered in the network. The mesoscopic simulator consists of a mesoscopic supply simulator based on MesoTS model and a time-dependent demand simulator. The mode choice is simultaneously considered with the route choice based on the improved C-Logit model. The traffic assignment procedure is implemented by a time-dependent shortest path (TDSP) algorithm in which travellers choose their modes and routes based on a range of choice criteria. The model is particularly suited for appraising a variety of transportation management measures, especially for the application of Intelligent Transport Systems (ITS). Five example cases including OD demand level, bus frequency, parking fee, information supply and car ownership rate are designed to test the proposed simulation model through a medium-scale case study in Beijing Chaoyang District in China. Computational results illustrate excellent performance and the application of the model to analysis of urban multi-modal transportation networks.</p> <p><strong> </strong></p> |
| first_indexed | 2024-12-12T00:35:38Z |
| format | Article |
| id | doaj.art-91b59d79fb7c4a46917669d182d86592 |
| institution | Directory Open Access Journal |
| issn | 0353-5320 1848-4069 |
| language | English |
| last_indexed | 2024-12-12T00:35:38Z |
| publishDate | 2014-02-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
| record_format | Article |
| series | Promet (Zagreb) |
| spelling | doaj.art-91b59d79fb7c4a46917669d182d865922022-12-22T00:44:22ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692014-02-01261657310.7307/ptt.v26i1.12521110A simulation-based dynamic traffic assignment model with combined modesMeng Meng0Chunfu Shao1Jingjing Zeng2Chunjiao Dong3Beijing jiaotong UniversityBeijing Jiaotong UniversityBeijing E-Hualu Information Technology Company LimitedThe University of Tennessee<p>This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing a mesoscopic simulation model. Several traffic means such as private car, subway, bus and bicycle are considered in the network. The mesoscopic simulator consists of a mesoscopic supply simulator based on MesoTS model and a time-dependent demand simulator. The mode choice is simultaneously considered with the route choice based on the improved C-Logit model. The traffic assignment procedure is implemented by a time-dependent shortest path (TDSP) algorithm in which travellers choose their modes and routes based on a range of choice criteria. The model is particularly suited for appraising a variety of transportation management measures, especially for the application of Intelligent Transport Systems (ITS). Five example cases including OD demand level, bus frequency, parking fee, information supply and car ownership rate are designed to test the proposed simulation model through a medium-scale case study in Beijing Chaoyang District in China. Computational results illustrate excellent performance and the application of the model to analysis of urban multi-modal transportation networks.</p> <p><strong> </strong></p>http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1252dynamic traffic assignmentcombined modesmesoscopic simulationtime-dependent shortest path algorithm |
| spellingShingle | Meng Meng Chunfu Shao Jingjing Zeng Chunjiao Dong A simulation-based dynamic traffic assignment model with combined modes Promet (Zagreb) dynamic traffic assignment combined modes mesoscopic simulation time-dependent shortest path algorithm |
| title | A simulation-based dynamic traffic assignment model with combined modes |
| title_full | A simulation-based dynamic traffic assignment model with combined modes |
| title_fullStr | A simulation-based dynamic traffic assignment model with combined modes |
| title_full_unstemmed | A simulation-based dynamic traffic assignment model with combined modes |
| title_short | A simulation-based dynamic traffic assignment model with combined modes |
| title_sort | simulation based dynamic traffic assignment model with combined modes |
| topic | dynamic traffic assignment combined modes mesoscopic simulation time-dependent shortest path algorithm |
| url | http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1252 |
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