Proceedings of the 2017 International Conference on Advanced Materials Science and Civil Engineering (AMSCE 2017)

Multi-objective Signal Timing Model of Single Intersection Based on Genetic Algorithm

Authors
Zhuoqun Wang, Yufei Hou, Qin Luo, Min Yan, Yiming Zhang
Corresponding Author
Zhuoqun Wang
Available Online April 2017.
DOI
https://doi.org/10.2991/amsce-17.2017.32How to use a DOI?
Keywords
single-intersection; signal timing; genetic algorithm; Matlab
Abstract
Intersection is an important component of the urban transport network. It is the main place where traffic congestion usually takes place. One of the key to solve urban transport problems is to organize the traffic in intersection reasonably and effectively.This paper learned the theory of signal control based on single intersection and then respectively set up different multi-objective optimization models according to high or low lane saturability.The paper aims to decrease the amount of vehicle delay and reduce the parking rate. The model is carried out through genetic algorithm based on Matlab. A case is shown that the methods of optimization models and genetic algorithm are effective and feasible.
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Proceedings
Part of series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-337-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/amsce-17.2017.32How 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  - Zhuoqun Wang
AU  - Yufei Hou
AU  - Qin Luo
AU  - Min Yan
AU  - Yiming Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Multi-objective Signal Timing Model of Single Intersection Based on Genetic Algorithm
PB  - Atlantis Press
SP  - 138
EP  - 141
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsce-17.2017.32
DO  - https://doi.org/10.2991/amsce-17.2017.32
ID  - Wang2017/04
ER  -