A multi-agent Framework for dynamic traffic management Considering Priority Link

Authors

  • Abdelouafi IKIDID
  • Abdelaziz El Fazziki Computer Science Dept, Laboratory ISI. Cadi Ayyad University Marrakesh, Morocco
  • Mohamed Sadgal Computer Science Dept, Laboratory ISI. Cadi Ayyad University Marrakesh, Morocco

DOI:

https://doi.org/10.17762/ijcnis.v13i2.4977

Abstract

To favor emergency vehicles, promote collective modes of transport in Moroccan cities, we propose in this paper a control system to manage traffic at signalized intersections with priority links in urban settings. This system combines multi-agent technology and fuzzy logic to regulate traffic flows. The traffic system flow is divided into two types of vehicles; priority and regular vehicles. The regular vehicles can use only the regular links, while the priority vehicles may use both priority and the regular links. This approach aims to favor emergency vehicles and promote collective modes of transport, it acts on the traffic light phases length and order to control all traffic flows. We proposed a decentralized system of regulation based on real-time monitoring to develop a local inter-section state, and intelligent coordination between neighboring intersections to build an overview of the traffic state. The regulation and prioritization decisions are made through cooperation, communication, and coordination between different agents. The performance of the proposed system is investigated and instantiated in ANYLOGIC simulator, using a section of the Marrakesh road network that contains priority links. The results indicate that the designed system can significantly develop the efficiency of the traffic regulation system.

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Published

2021-08-26 — Updated on 2022-04-15

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How to Cite

IKIDID, A., El Fazziki, A., & Sadgal, M. (2022). A multi-agent Framework for dynamic traffic management Considering Priority Link. International Journal of Communication Networks and Information Security (IJCNIS), 13(2). https://doi.org/10.17762/ijcnis.v13i2.4977 (Original work published August 26, 2021)

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Research Articles