Density Based Fuzzy Logic Control Scheme for a Multi-Stoplight Road Network Implemented on a Simplified Traffic Model

Distributed computing can be applied on intelligent traffic management systems to eliminate the need for a central control station and reduce the computational complexity to optimize entire road networks. This however required traffic modules in the road network to perform traffic routing decisions independently based on localized sensor data. This paper proposes a distributed modular fuzzy logic-based control approach for a multi-stoplight road network with a smart traffic management system. This fuzzy control scheme was implemented on a traffic simulation that mimics vehicle density changes across the road network, which was implemented using MATLAB. The fuzzy logic control approach was able to reduce the average road density across the road network by a total of 103.5809 average vehicles as compared to a static system. The fuzzy logic controller was able to determine the best next state and duration of the current state to reduce vehicle density across the road network. Overall, the technique demonstrates a practical way to implement an ITMS, thus significantly reducing traffic jams.