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

DOI

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.

Copyright

© 2013, 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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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
SP  - 35
EP  - 38
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmat.2013.7
DO  - 10.2991/mmat.2013.7
ID  - Lv2012/11
ER  -