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Intelligent Urban Road Traffic Management at a Crossroads based on Genetic Algorithm

A. Merbah, A. Makrizi, E. H. Essoufi in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2019
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:A. Merbah, A. Makrizi, E. H. Essoufi
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  1. A Merbah, A Makrizi and E H Essoufi. Intelligent Urban Road Traffic Management at a Crossroads based on Genetic Algorithm. International Journal of Applied Information Systems 12(22):1-7, July 2019. URL, DOI BibTeX

    	author = "A. Merbah and A. Makrizi and E. H. Essoufi",
    	title = "Intelligent Urban Road Traffic Management at a Crossroads based on Genetic Algorithm",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "July, 2019",
    	volume = 12,
    	number = 22,
    	month = "July",
    	year = 2019,
    	issn = "2249-0868",
    	pages = "1-7",
    	url = "",
    	doi = "10.5120/ijais2019451810",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


The present paper is mainly concerned with the issue of developing an integrated nonlinear model that aims to minimize the waiting time of the crossroads users including cars, HGVs and trams. It takes into consideration the constraints related to the pedestrian safety and the crossroads structure. Given the complexity of the crossroads management system due to infrastructure and security constraints, on one hand, and the non-linearity of some equations and the independent variables to be considered, on the other hand, the genetic algorithm (GA) appears to be most suitable to solve such problem as it supplies satisfactory results in real time compared to the semi-adaptive system and no-adaptive system. The experiment was run on a simple four-light crossroads, and a six-light roundabout considered as one of the most important and complex crossroads in Casablanca.


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An adaptive regulation system, crossroads, genetic algorithm, lights color, traffic control