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A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling
Joint Authors
Li, Zhibin
Shan, Xiaonian
Chen, Xiaohong
Ye, Jianhong
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shan, Xiaonian& Li, Zhibin& Chen, Xiaohong& Ye, Jianhong. 2015. A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060416
Modern Language Association (MLA)
Shan, Xiaonian…[et al.]. A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1060416
American Medical Association (AMA)
Shan, Xiaonian& Li, Zhibin& Chen, Xiaohong& Ye, Jianhong. A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060416
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060416