Otro
Optimizing urban traffic flow using genetic algorithm with petri net analysis as fitness function
Registro en:
Neurocomputing, v. 124, p. 162-167, 2013.
0925-2312
0000-0003-1086-3312
2098623262892719
2663276714773913
Autor
Dezani, Henrique
Bassi, Regiane Denise Solgon
Marranghello, Norian
Gomes, Luis Filipe dos Santos
Damiani, Furio
Silva, Ivan Nunes da
Resumen
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.