|International Journal of Applied Information Systems|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 12 - Number 22|
|Year of Publication: 2019|
|Authors: A. Merbah, A. Makrizi, E. H. Essoufi|
A. Merbah, A. Makrizi, E. H. Essoufi . Intelligent Urban Road Traffic Management at a Crossroads based on Genetic Algorithm. International Journal of Applied Information Systems. 12, 22 ( July 2019), 1-7. DOI=10.5120/ijais2019451810
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.