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Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach
Joint Authors
Wang, Dianhai
Jin, Sheng
Ma, Dongfang
Zhou, Dan
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
2015-08-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhou, Dan& Jin, Sheng& Ma, Dongfang& Wang, Dianhai. 2015. Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060503
Modern Language Association (MLA)
Zhou, Dan…[et al.]. Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1060503
American Medical Association (AMA)
Zhou, Dan& Jin, Sheng& Ma, Dongfang& Wang, Dianhai. Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1060503
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060503