Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Evaluation Model and Simulation of High Efficient Toll Plaza

Authors
Zhidan Cai, Juewei Hu, Xiaoyu Liu, Xin Li
Corresponding Author
Zhidan Cai
Available Online November 2017.
DOI
10.2991/amms-17.2017.57How to use a DOI?
Keywords
evaluation model; traffic flow; cellular automata
Abstract

In this paper, we mainly discuss the design and evaluate of how the vehicle return to the original line after passing the toll station. In the case of considering only one direction of the toll square, we establish the evaluation model based on the cellular automata. In the meantime, we emphasis on the probability of accidents and exclude the influence of subjective factors. In view of the physical truth, we change the shape of the toll booth, we distinguish the speed of car based on the original evaluation methodology in order to reduce the cost and the rate of accident.Finally, we come to the conclusion that the improvement toll station is superior to the original one according to the performance appraisal.

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 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/amms-17.2017.57
ISSN
1951-6851
DOI
10.2991/amms-17.2017.57How 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

TY  - CONF
AU  - Zhidan Cai
AU  - Juewei Hu
AU  - Xiaoyu Liu
AU  - Xin Li
PY  - 2017/11
DA  - 2017/11
TI  - Evaluation Model and Simulation of High Efficient Toll Plaza
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 256
EP  - 258
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.57
DO  - 10.2991/amms-17.2017.57
ID  - Cai2017/11
ER  -