Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

Quantization and Analysis of Toll Plaza Based on Probability Distributions and Queuing Theory

Authors
Feng Zhang
Corresponding Author
Feng Zhang
Available Online March 2017.
DOI
10.2991/amcce-17.2017.91How to use a DOI?
Keywords
toll plaza; probability distributions; quantification model
Abstract

The toll station, served as the bond to highways, has always been the bottleneck to the capacity of the highway. Based on probability distributions and queuing theory, the thesis builds the quantitative model of capacity and calculates two evaluation indicators to analyze the drawbacks of the traditional toll station.

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 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.91
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.91How 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  - Feng Zhang
PY  - 2017/03
DA  - 2017/03
TI  - Quantization and Analysis of Toll Plaza Based on Probability Distributions and Queuing Theory
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 516
EP  - 519
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.91
DO  - 10.2991/amcce-17.2017.91
ID  - Zhang2017/03
ER  -