Publicação: Optimizing urban traffic flow using genetic algorithm with petri net analysis as fitness function
Carregando...
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Artigo
Direito de acesso
Acesso aberto
Resumo
This paper describes a new methodology adopted for urban traffic stream optimization. By using Petri net analysis as fitness function of a Genetic Algorithm, an entire urban road network is controlled in real time. With the advent of new technologies that have been published, particularly focusing on communications among vehicles and roads infrastructures, we consider that vehicles can provide their positions and their destinations to a central server so that it is able to calculate the best route for one of them. Our tests concentrate on comparisons between the proposed approach and other algorithms that are currently used for the same purpose, being possible to conclude that our algorithm optimizes traffic in a relevant manner.
Descrição
Palavras-chave
Algoritmos Genéticos, Redes de Petri, Embedded Systems, Sistemas de Tempo Real, Sistemas Inteligentes, Urban traffic, Genetic Algorithm, Petri net, Optimization
Idioma
Inglês
Como citar
Neurocomputing, v. 124, p. 162-167, 2013.
