Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Interference and Conflict Simulation of Left-turning Vehicle and Pedestrian Based on Cellular Automation

Authors
Xueyuan Wang, Xingqiang Zhang, Pan Chen
Corresponding Author
Xueyuan Wang
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.27How to use a DOI?
Keywords
conflict interference; VDR-Blue model; arrival rate; traffic flow volume
Abstract
In order to analyze microscopic operating law of intersection mixed traffic flow, a coupled cellular model of the vehicle VDR model and the one-way pedestrian Blue model was presented. Based on the definition of pedestrian ??'vehicle interference area, vehicle ??'pedestrian interference area and the crossing behaviors of left-turning vehicle and pedestrian, the interference and conflict rules between left-turning vehicle and pedestrian at intersection were formulated. Finally, the relationships of traffic flow states, variation trend, and arrival rate were simulated to study the mixed traffic characteristics of left-turning vehicle and pedestrian.
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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.27How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xueyuan Wang
AU  - Xingqiang Zhang
AU  - Pan Chen
PY  - 2018/05
DA  - 2018/05
TI  - Interference and Conflict Simulation of Left-turning Vehicle and Pedestrian Based on Cellular Automation
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.27
DO  - https://doi.org/10.2991/amcce-18.2018.27
ID  - Wang2018/05
ER  -