Optimization Control Based on Improved Traffic Signal Genetic Algorithm

DOI

10.2991/mmsa-18.2018.36How to use a DOI?

Keywords

single intersection; signal timing; genetic algorithm; clustering; the number of queue vehicles; objective function

Abstract

To the optimization control problem of traffic signal timing of single intersection, an optimization method based on the Clustering Genetic Algorithm(CGA) was put forward. In a cycle, we take the total number of queue vehicles of corresponding release lane at the end of each phase as the performance index to construct the objective optimization function. The experiment results show that the total number of queue vehicles when CGA is applied to optimize is less than the ones when standard genetic algorithm(SGA) and traditional method are applied respectively; thus this method can effectively reduce the number of queue vehicles at the end of green light, and improve the traffic capacity of single intersection.

Copyright

© 2018, 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/).

Download article (PDF)

TY  - CONF
AU  - Daming Li
PY  - 2018/03
DA  - 2018/03
TI  - Optimization Control Based on Improved Traffic Signal Genetic Algorithm
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 165
EP  - 168
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.36
DO  - 10.2991/mmsa-18.2018.36
ID  - Li2018/03
ER  -