Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)

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An improved multi-value cellular automata model for mixed bicycle traffic flow on campus

Authors
Bi-Xiang Li, Lan Fang
Corresponding Author
Bi-Xiang Li
Available Online December 2016.
DOI
10.2991/eeeis-16.2017.107How to use a DOI?
Keywords
Cellular automata model; Multi-value; Mixed traffic; Bicycle.
Abstract

This paper analyzes the defaults of traffic model applying in campus road in China, such as lacking simulation of vehicles, pedestrians and bicycles under mixed traffic flow. An improved multi-value cellular automata model is proposed for revealing complex traffic phenomena for pedestrian-bicycles and pedestrian-vehicle mixed traffic flow. This model includes different forward rules and drift rules for different traffic types under campus roads. Moreover, considering the mutual interference among different traffic types, it is named different interaction behavior. Finally, the difference of the degree of interaction interference among different traffic types is simulated and analyzed. Through qualitative analysis on traffic fundamental diagram, the proposed model can simulate the complex mixed traffic flow phenomena, such as overtaking, drift, interaction, free flow, synchronized flow, congestion flow, slow traffic on the right side, etc. Therefore, related researches in the dissertation not only have a profound theoretical and practical value for campus security, but also have the function of reference and guidance for urban mixed traffic network.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-320-3
ISSN
2352-5401
DOI
10.2991/eeeis-16.2017.107How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

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TY  - CONF
AU  - Bi-Xiang Li
AU  - Lan Fang
PY  - 2016/12
DA  - 2016/12
TI  - An improved multi-value cellular automata model for mixed bicycle traffic flow on campus
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 870
EP  - 877
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.107
DO  - 10.2991/eeeis-16.2017.107
ID  - Li2016/12
ER  -