Evolutionary design optimization of traffic signals applied to Quito city.

This work applies evolutionary computation and machine learning methods to study the transportation system of Quito from a design optimization perspective. It couples an evolutionary algorithm with a microscopic transport simulator and uses the outcome of the optimization process to deepen our under...

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Bibliographic Details
Main Authors: Rolando Armas, Hernán Aguirre, Fabio Daolio, Kiyoshi Tanaka
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5728506?pdf=render