Mobile agents-based modelling for the vehicular network congestion problem resolution
by Soumia Mameri; Yacine Kissoum; Mohammed Redjimi
International Journal of Simulation and Process Modelling (IJSPM), Vol. 21, No. 1, 2023

Abstract: Traffic management systems aim to improve traffic flow and reduce congestion, especially for emergency vehicles. This work focuses on adapting intelligent agents in VANETs to detect and prevent traffic congestion at intersections and minimise waiting time for vehicles at traffic lights, especially priority vehicles. Modelling such systems requires tools with features like mobility and context awareness. This paper proposes a conceptual framework based on a multi-agent system for VANET decision support in dynamic smart environments. The system is modelled using a powerful paradigm called 'nets within nets' and simulated with real scenarios using renew tools. A detailed case study demonstrates that our method runs stably in various scenarios, significantly reducing both vehicle and pedestrian congestion. The simulation results are analysed and compared to existing traffic regulation approaches. The suggested model not only yields positive and encouraging outcomes but also establishes a new benchmark for future research in the field.

Online publication date: Fri, 05-Jul-2024

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