Theory of dynamic hybrid fuzzy logic control of traffic light network with accident detection and action system

Abstract

Traffic congestion is a problem that requires extremely complex and iterative solutions. Our work demonstrates the main Map and the theory of the proposed Hybrid system, which based on fuzzy logic technique for optimally controlling the traffic flow and accident detection in cities. The proposed system was developed into a two-layered: the Architecture layer and the Application layer. The focus of this paper is to discuss the Application layer represented by the algorithm and the methods used in the in the Intelligent Traffic light control system. The system was divided into three sub systems: The proposed Dynamic Webster with dynamic Cycle Time algorithm, Accident Detection System using fuzzy logic theory and Action System depending on Accident Detection System. This paper explain the main parts of the system with a great details showed in flow charts.