The week's pick
Random Articles
Reseach Article
Intelligent Urban Road Traffic Management at a Crossroads based on Genetic Algorithm
| 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 |
10.5120/ijais2019451810
|
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
Abstract
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.
References
- Y. Ge, “A Two-Stage Fuzzy Logic Control Method of Traffic Signal Based on Traffic Urgency Degree”, Hindawi Publishing Corporation Modelling and Simulation in Engineering, Vol. 2014, Article ID 694185, 6 pages (2014).
- J. Jina, X. Maa and I.Kosonen, “An intelligent control system for traffic lights with simulation-based evaluation”, Control Engineering Practice, Vol. 58, No.3, pp.24-33, (January 2017).
- S. Kachroudi, M.Grossard and N.Abroug,“ Predictive Driving Guidance of Full Electric Vehicles Using Particle Swarm Optimization”, IEEE Trans. Vehicular Technology, Vol. 61, No. 9, pp. 3909–3919, (2012).
- F. Yan, M. DRIDI and A. E. MOUDNI,“ An autonomous vehicle sequencing problem at intersections: A genetic algorithm approach”, International Journal of Applied Mathematics and Computer Science, Vol. 23, No. 1, pp. 183-200, ( March 2013).
- Y. Dujardin, D. Vanderpooten and F.Boillot“ A multi-objective interactive system for adaptive traffic control”, European Journal of Operational Research, Vol. 244, No. 2, pp. 601-610, (July 2015).
- Y.J. Cao and Q.H. Wu, “Teaching genetic algorithm using matlab”, International Journal of Electrical Engineering Education, Vol.36, pp.139-153, (1999).
- A Merbah, A. Makrizi and E.H. Essoufi, “La gestion en temps r´eel d’un carrefour `a feux par algorithmes g´en´etiques”, Proceedings of International Meeting on Applied Mathematics in Errachidia. Faculty of Siences and Technics Errachidia, Moulay Ismail University, Errachidia, Morocco, pp. 106–107, May 9-12, (2016)
- Y. Collette and P. Siarry, Optimisation multiobjectif, Eyrolles, Paris, (2002).
- R. Malhotra, N. Singh and Y. Singh, “Genetic algorithms: Concepts, design for optimization of process controllers”, Computer and Information Science, No.4, pp.39-54, (2011).
Index Terms
Keywords