Optimizing urban traffic flow using genetic algorithm with petri net analysis as fitness function
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Data
2013
Autores
Dezani, Henrique
Bassi, Regiane Denise Solgon
Marranghello, Norian [UNESP]
Gomes, Luis Filipe dos Santos
Damiani, Furio
Silva, Ivan Nunes da
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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.
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Algoritmos Genéticos, Redes de Petri, Embedded Systems, Sistemas de Tempo Real, Sistemas Inteligentes, Urban traffic, Genetic Algorithm, Petri net, Optimization
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Neurocomputing, v. 124, p. 162-167, 2013.