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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Detalles Bibliográficos
Autores principales: Armas, Rolando, Aguirre, Hernán, Daolio, Fabio, Tanaka, Kiyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728506/
https://www.ncbi.nlm.nih.gov/pubmed/29236733
http://dx.doi.org/10.1371/journal.pone.0188757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728506/
https://www.ncbi.nlm.nih.gov/pubmed/29236733
http://dx.doi.org/10.1371/journal.pone.0188757

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