Effective lane management for emergency vehicles and adaptive signaling for dynamic traffic congestion using fuzzy logic

Proliferation of vehicles, ineffective traffic management and insufficient road infrastructure increase traffic congestion in urban areas. In traditional traffic control system, round robin algorithm is used for scheduling traffic controller in which equal priority is assigned for all the lanes in the intersection. It is failed to measure the traffic density. It leads to ineffective lane utilization. The main objective of this paper is to i) reduce the average waiting time of a vehicle at an intersection using effective lane management based on fuzzy logic and heuristic value ii) to reduce the average waiting time of emergency vehicles by applying prioritization and iii) adaptive signaling for dynamic traffic behavior. From the simulation results, it shows that the proposed system is effective during traffic congestion in the real time environment.