Accident detection and action system using fuzzy logic theory

Intelligent Traffic light systems primarily focus on solving the traffic congestion problems with ever evolving algorithms. The solutions cater only to the problems based on traffic flow and density and does not include if an accident is causing the delay. There are various solutions that exist for detecting the accidents close to traffic control systems but most lack the capability to take the necessary action after the detection. This paper discusses an accident detection system based on fuzzy logic to detect an accident near a traffic light system and also provide a mechanism to ease the traffic flow with help from the Action system. The accident detection systems is based on fuzzy logic; but the algorithm used for calculation the cycle time and other parameters is based on modification of Webster Method and is called Dynamic Webster with Dynamic Cycle time (DWDC). The paper focuses in the working principles of the Accident Detection system based on the linguistic variables, membership function and the rules sets as part of the Fuzzy Logic system.