TrafC‐AnTabu: AnTabu routing algorithm for congestion control and traffic lights management using fuzzy model

Abstract

Traffic congestion is becoming one of the severe problems around the globe. The rate at which vehicles are increasing is exponentially proportional to more complex issues. Therefore, it becomes necessary to efficiently manage traffic flow to avoid congestion on the roads and other complex problems. In this paper, we have proposed a system model that uses the AnTabu routing algorithm to overcome the severe problem of traffic congestion. We have also implemented a fuzzy model for managing the traffic lights on the road intersections. From the obtained results, it is found that the proposed system model has minimized the average travel time of vehicles and has increased the throughput of vehicles on the road intersections.

The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna

“…They also introduced the ATL algorithm, demonstrating a 70% enhancement in traffic flow for arterial street coordination. In addressing the increasing global issue of traffic congestion, the work of Verma et al (2022) presents a novel system model that employs the AnTabu routing algorithm and a traffic light control system based on fuzzy logic to effectively manage traffic flow, significantly reducing the average vehicle travel time and improving the throughput of the roads intersection. Furthermore, numerous attempts have already been made to simulate traffic networks, incorporating the operational dynamics of traffic lights in various models (Wen, 2008;Harahap et al, 2019).…”