Traffic Flow Maximization using Evolutionary Algorithm
Author(s) -
Jiaxing Cui,
Quentin de Metz
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/17680-8514
Subject(s) - computer science , maximization , flow (mathematics) , algorithm , mathematical optimization , mathematics , geometry
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.
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