Research Article
Traffic Flow Maximization using Evolutionary Algorithm
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 101 - Issue 5 |
| Published: September 2014 |
| Authors: Cui Jiaxing, Quentin De Metz |
10.5120/17680-8514
|
Cui Jiaxing, Quentin De Metz . Traffic Flow Maximization using Evolutionary Algorithm. International Journal of Computer Applications. 101, 5 (September 2014), 1-6. DOI=10.5120/17680-8514
@article{ 10.5120/17680-8514,
author = { Cui Jiaxing,Quentin De Metz },
title = { Traffic Flow Maximization using Evolutionary Algorithm },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 101 },
number = { 5 },
pages = { 1-6 },
doi = { 10.5120/17680-8514 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Cui Jiaxing
%A Quentin De Metz
%T Traffic Flow Maximization using Evolutionary Algorithm%T
%J International Journal of Computer Applications
%V 101
%N 5
%P 1-6
%R 10.5120/17680-8514
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Traffic Flow maximization is one of the crucial problems in designing a city. It directly affects the daily life of the people living in that city. It is a complex problem, one that in most cases cannot be deterministically solved. This paper proposes using evolutionary algorithms to solve that problem. This paper compares existing work and traffic flow with solutions yielded by evolutionary approach, and the results show that it is beneficial to adopt this strategy when designing traffic light timings.
References
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