A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling
Several previous studies have used the Cellular Automaton (CA) for the modeling of bicycle traffic flow. However, previous CA models have several limitations, resulting in differences between the simulated and the observed traffic flow features. The primary objective of this study is to propose a mo...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/213204 |
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| _version_ | 1832567252623294464 |
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| author | Xiaonian Shan Zhibin Li Xiaohong Chen Jianhong Ye |
| author_facet | Xiaonian Shan Zhibin Li Xiaohong Chen Jianhong Ye |
| author_sort | Xiaonian Shan |
| collection | DOAJ |
| description | Several previous studies have used the Cellular Automaton (CA) for the modeling of bicycle traffic flow. However, previous CA models have several limitations, resulting in differences between the simulated and the observed traffic flow features. The primary objective of this study is to propose a modified CA model for simulating the characteristics of mixed bicycle traffic flow. Field data were collected on physically separated bicycle path in Shanghai, China, and were used to calibrate the CA model using the genetic algorithm. Traffic flow features between simulations of several CA models and field observations were compared. The results showed that our modified CA model produced more accurate simulation for the fundamental diagram and the passing events in mixed bicycle traffic flow. Based on our model, the bicycle traffic flow features, including the fundamental diagram, the number of passing events, and the number of lane changes, were analyzed. We also analyzed the traffic flow features with different traffic densities, traffic components on different travel lanes. Results of the study can provide important information for understanding and simulating the operations of mixed bicycle traffic flow. |
| format | Article |
| id | doaj-art-ac5708eb985944bc99037d0d127479de |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-ac5708eb985944bc99037d0d127479de2025-02-03T01:02:05ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/213204213204A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow ModelingXiaonian Shan0Zhibin Li1Xiaohong Chen2Jianhong Ye3Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaSchool of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaSeveral previous studies have used the Cellular Automaton (CA) for the modeling of bicycle traffic flow. However, previous CA models have several limitations, resulting in differences between the simulated and the observed traffic flow features. The primary objective of this study is to propose a modified CA model for simulating the characteristics of mixed bicycle traffic flow. Field data were collected on physically separated bicycle path in Shanghai, China, and were used to calibrate the CA model using the genetic algorithm. Traffic flow features between simulations of several CA models and field observations were compared. The results showed that our modified CA model produced more accurate simulation for the fundamental diagram and the passing events in mixed bicycle traffic flow. Based on our model, the bicycle traffic flow features, including the fundamental diagram, the number of passing events, and the number of lane changes, were analyzed. We also analyzed the traffic flow features with different traffic densities, traffic components on different travel lanes. Results of the study can provide important information for understanding and simulating the operations of mixed bicycle traffic flow.http://dx.doi.org/10.1155/2015/213204 |
| spellingShingle | Xiaonian Shan Zhibin Li Xiaohong Chen Jianhong Ye A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling Discrete Dynamics in Nature and Society |
| title | A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling |
| title_full | A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling |
| title_fullStr | A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling |
| title_full_unstemmed | A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling |
| title_short | A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling |
| title_sort | modified cellular automaton approach for mixed bicycle traffic flow modeling |
| url | http://dx.doi.org/10.1155/2015/213204 |
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