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

DOI

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.

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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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
BT  - Proceedings of the 2017 International Conference on Advanced Materials Science and Civil Engineering (AMSCE 2017)
PB  - Atlantis Press
SP  - 138
EP  - 141
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsce-17.2017.32
DO  - 10.2991/amsce-17.2017.32
ID  - Wang2017/04
ER  -