Controlling traffic jams on urban roads modeled in Coloured Petri net using Genetic Algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents an application to traffic lights control in congested urban traffic, in real time, taking as input the position and route of the vehicles in the involved areas. This data is obtained from the communication between vehicles and infrastructure (V2I). Due to the great complexity of the possible combination of traffic lights and the short time to get a response, Genetic Algorithm was used to optimize this control. According to test results, the application can reduce the number of vehicles in congested areas, even with the entry of vehicles that previously were not being considered in these roads, such as parked vehicles.
Original languageUnknown
Title of host publicationIECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Pages3043 - 3048
ISBN (Electronic)978-1-4673-2420-5
DOIs
Publication statusPublished - 1 Jan 2012
EventIECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society -
Duration: 1 Jan 2012 → …

Conference

ConferenceIECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Period1/01/12 → …

Cite this

Gomes, L. F. D. S., & DEE Group Author (2012). Controlling traffic jams on urban roads modeled in Coloured Petri net using Genetic Algorithm. In IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society (pp. 3043 - 3048) https://doi.org/10.1109/IECON.2012.6389412