Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach
Simulation, as a powerful tool for evaluating transportation systems, has been widely used in transportation planning, management, and operations. Most of the simulation models are focused on motorized vehicles, and the modeling of nonmotorized vehicles is ignored. The cellular automata (CA) model i...
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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/10.1155/2015/420581 |
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| _version_ | 1832566839486447616 |
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| author | Dan Zhou Sheng Jin Dongfang Ma Dianhai Wang |
| author_facet | Dan Zhou Sheng Jin Dongfang Ma Dianhai Wang |
| author_sort | Dan Zhou |
| collection | DOAJ |
| description | Simulation, as a powerful tool for evaluating transportation systems, has been widely used in transportation planning, management, and operations. Most of the simulation models are focused on motorized vehicles, and the modeling of nonmotorized vehicles is ignored. The cellular automata (CA) model is a very important simulation approach and is widely used for motorized vehicle traffic. The Nagel-Schreckenberg (NS) CA model and the multivalue CA (M-CA) model are two categories of CA model that have been used in previous studies on bicycle traffic flow. This paper improves on these two CA models and also compares their characteristics. It introduces a two-lane NS CA model and M-CA model for both regular bicycles (RBs) and electric bicycles (EBs). In the research for this paper, many cases, featuring different values for the slowing down probability, lane-changing probability, and proportion of EBs, were simulated, while the fundamental diagrams and capacities of the proposed models were analyzed and compared between the two models. Field data were collected for the evaluation of the two models. The results show that the M-CA model exhibits more stable performance than the two-lane NS model and provides results that are closer to real bicycle traffic. |
| format | Article |
| id | doaj-art-8feb19e6c3cc4f47ac2d23d89fb17fa7 |
| 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-8feb19e6c3cc4f47ac2d23d89fb17fa72025-02-03T01:03:00ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/420581420581Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata ApproachDan Zhou0Sheng Jin1Dongfang Ma2Dianhai Wang3College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, ChinaCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, ChinaCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, ChinaCollege of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, ChinaSimulation, as a powerful tool for evaluating transportation systems, has been widely used in transportation planning, management, and operations. Most of the simulation models are focused on motorized vehicles, and the modeling of nonmotorized vehicles is ignored. The cellular automata (CA) model is a very important simulation approach and is widely used for motorized vehicle traffic. The Nagel-Schreckenberg (NS) CA model and the multivalue CA (M-CA) model are two categories of CA model that have been used in previous studies on bicycle traffic flow. This paper improves on these two CA models and also compares their characteristics. It introduces a two-lane NS CA model and M-CA model for both regular bicycles (RBs) and electric bicycles (EBs). In the research for this paper, many cases, featuring different values for the slowing down probability, lane-changing probability, and proportion of EBs, were simulated, while the fundamental diagrams and capacities of the proposed models were analyzed and compared between the two models. Field data were collected for the evaluation of the two models. The results show that the M-CA model exhibits more stable performance than the two-lane NS model and provides results that are closer to real bicycle traffic.http://dx.doi.org/10.1155/2015/420581 |
| spellingShingle | Dan Zhou Sheng Jin Dongfang Ma Dianhai Wang Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach Discrete Dynamics in Nature and Society |
| title | Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach |
| title_full | Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach |
| title_fullStr | Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach |
| title_full_unstemmed | Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach |
| title_short | Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach |
| title_sort | modeling mixed bicycle traffic flow a comparative study on the cellular automata approach |
| url | http://dx.doi.org/10.1155/2015/420581 |
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