Proceedings of the 2016 International Conference on Civil, Transportation and Environment

A PSO based Signal Timing Optimization Approach of Phase Combination

Authors
Yuedong Zhao, Wei Fang, Chenchen Qing
Corresponding Author
Yuedong Zhao
Available Online January 2016.
DOI
10.2991/iccte-16.2016.54How to use a DOI?
Keywords
traffic signals, phasing, particle swarm optimization, green split
Abstract

A signal timing optimization approach of phase combination on PSO (particle swarm optimization) is proposed in the paper. The objective function is to minimize the number of stops at intersection by combining the less different flow ratio of two streams into a team. The method is applied at the intersection of Huangshan road and Kexue Avenue of Hefei, China. It shows the number of stops is decreased about 19.04% through this phase combination. The total delay and CO emissions are also decreased by minimizing the number of stops. The method is effective in upgrading the traffic signal control program.

Copyright
© 2016, 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 2016 International Conference on Civil, Transportation and Environment
Series
Advances in Engineering Research
Publication Date
January 2016
ISBN
10.2991/iccte-16.2016.54
ISSN
2352-5401
DOI
10.2991/iccte-16.2016.54How to use a DOI?
Copyright
© 2016, 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  - Yuedong Zhao
AU  - Wei Fang
AU  - Chenchen Qing
PY  - 2016/01
DA  - 2016/01
TI  - A PSO based Signal Timing Optimization Approach of Phase Combination
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 314
EP  - 319
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.54
DO  - 10.2991/iccte-16.2016.54
ID  - Zhao2016/01
ER  -