Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering

Coordinate Signal Control in Urban Traffic of Two-direction Green Wave based on Genetic BP Neural Network

Authors
Shaojiao Lv, Chungui Li, Zheming Li, Qingkai Zang
Corresponding Author
Shaojiao Lv
Available Online November 2012.
DOI
https://doi.org/10.2991/mmat.2013.7How to use a DOI?
Keywords
Coordinate signal control, Genetic algorithm, BP neural network, Green wave bandwidth.
Abstract
To maximize the bandwidth of green wave of trunk road is a main issue in the research of signal control in urban traffic. However, the traditional analytical algorithm can not be applied in actual traffic widely. A novel dynamic two-direction green wave coordinate control strategy was proposed to overcome the problem. By combining the genetic BP neural network with the traditional analytical algorithm, the urban traffic of two-direction was controlled coordinately online. Finally, an actual example was presented. It shows that not only the green wave bandwidth, the phase-difference of each intersection and the critical cycle of trunk road were optimized according to real-time traffic flow, but also our algorithm can be used in different traffic condition by adjusting the parameters of the model.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-90-78677-62-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mmat.2013.7How 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  - Shaojiao Lv
AU  - Chungui Li
AU  - Zheming Li
AU  - Qingkai Zang
PY  - 2012/11
DA  - 2012/11
TI  - Coordinate Signal Control in Urban Traffic of Two-direction Green Wave based on Genetic BP Neural Network
BT  - Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials and Metallurgy Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmat.2013.7
DO  - https://doi.org/10.2991/mmat.2013.7
ID  - Lv2012/11
ER  -