Minimizing Intersection Delays: A Novel Fuzzy Logic-Based Architecture for Traffic Signal Control

This paper proposes a new fuzzy architecture for the management of an isolated intersection. The challenge of this study is to reduce the waiting time of vehicles in the lanes compared to what exists in the state of the art. The proposed approach is based on five fuzzy logic-based controllers, four for phase management and one for phase selection. The priority of a phase is managed dynamically and intelligently through a flexible cycle. A significant gain in terms of average and cumulative vehicle waiting time is proven in the simulation results compared to other architectures presented in the literature. The performance of the developed system is proven in three different scenarios, the first one containing a low vehicle arrival rate, the second one with a medium arrival rate, and the last one in a critical case with a high arrival rate. Our findings highlight the potential of fuzzy logic-based approaches for the development of intelligent transportation systems that can help alleviate traffic congestion and improve overall urban mobility.