Authors:
Ameni Aloui
1
;
Hela Hachicha
2
;
1
and
Ezzeddine Zagrouba
1
Affiliations:
1
University of Tunis El Manar, Higher Institute of Computer Science, Laboratory of Informatics, Modeling and Information and Knowledge Processing (LIMTIC), Ariana 2080, Tunisia
;
2
University of Jeddah, College of Computer Science and Engineering, Al Faisaliah, Jeddah, Saudi Arabia
Keyword(s):
C-ITS, Multi-Agent Systems, Traffic Management, Communication, Congestion Detection, Decision-Making.
Abstract:
The continual growth in road traffic poses significant challenges to effective traffic management, necessitating innovative solutions such as Cooperative Intelligent Transport Systems (C-ITS). This paper introduces a novel multi-agent based model designed to address road traffic management in C-ITS systems. Our approach aims to reduce congestion and enhance driver decision-making by leveraging dynamic communication and information exchange between vehicles and infrastructure. Our multi-agent system is intricately designed to play specific roles in managing traffic flow. Through real-time execution using a C-ITS road safety case study focused on warning accidents, we evaluate the performance of our architecture through key metrics including mean travel time and mean speed in the C-ITS system. The innovative aspects of our approach lie in the integration of multi-agent systems in such a system, providing a significant advancement in the field of C-ITS road traffic management. By detail
ing the instantiation of our system and emphasizing concrete services, we contribute to the broader goal of improving road safety and traffic efficiency in urban environments.
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