TrafC-AnTabu: AnTabu routing algorithm for congestion control and traffic lights management using fuzzy model
Abbreviations: , number of vehicles; , central information authority; , time stamp; , pheromone; , average value of density pheromone; , tabu list; , pheromone evaporation rate; , pheromone on lane (a, b); , pheromone deposited; , future route of vehicle; , intersection; , traffic light time; , maximum queue length for ; , average travel time of vehicles; , threshold Tabu value (0.6).
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.
Open Research
DATA AVAILABILITY STATEMENT
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
