Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection

Authors

  • Nouha Rida Mohammed V University, Mohammadia School of Engineers
  • Mohammed Ouadoud Abdelmalek Essaadi University, Faculty of Sciences, Tetouan, Morocco https://orcid.org/0000-0003-0715-0573
  • Aberrahim Hasbi

DOI:

https://doi.org/10.3991/ijim.v14i02.10332

Keywords:

Traffic congestion, smart traffic, traffic light control, intelligent transportation system, ant colony optimization, smart mobility, intelligent mobility.

Abstract


In this paper, we present a new scheme to intelligently control the cycles and phases of traffic lights by exploiting the road traffic data collected by a wireless sensor network installed on the road. The traffic light controller determines the next phase of traffic lights by applying the Ant Colony Optimazation metaheuristics to the information collected by WSN. The objective of this system is to find an optimal solution that gives the best possible results in terms of reducing the waiting time of vehicles and maximizing the flow crossing the intersection during the green light. The results of simulations by the SUMO traffic simulator confirm the preference of the developed algorithm over the predefined time controller and other dynamic controllers.

Author Biographies

Nouha Rida, Mohammed V University, Mohammadia School of Engineers

Computer and Education Research Laboratory, Mohammadia School of Engineers

Mohammed Ouadoud, Abdelmalek Essaadi University, Faculty of Sciences, Tetouan, Morocco

He is a Ph.D. in Computer sciences, at the Laboratory of Informatics, Research Operational and Statistic Applied (LIROSA) at Faculty of Sciences, Abdelmalek Essaâdi University. In 2018, he completed his Ph.D. thesis in computer science at the faculty of science of Tetouan, Morocco. His dissertation research, focus on Modeling and Prototyping a Learning Management System Based on the IMD-LD and the Hybridization between Learning Theories. He has a Master degree in Multimedia Engineering of Instructional Design at the École Normale Supérieure of Martil, Morocco in 2013. His current research focuses on E-learning, Software Engineering, Man Machine Interface, Geomatics, Geotech and Bigdata. Mohammed Ouadoud is a reviewer in several International journals.

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Published

2020-02-10

How to Cite

Rida, N., Ouadoud, M., & Hasbi, A. (2020). Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection. International Journal of Interactive Mobile Technologies (iJIM), 14(02), pp. 196–214. https://doi.org/10.3991/ijim.v14i02.10332

Issue

Vol. 14 No. 02 (2020)

Section

Papers

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