Design of adaptive traffic flow control system with soft computing tools for green signaling

Traffic on urban roads is increasing day by day. In India there has been a sudden rise in vehicles on road leading to several problems such as loss of time, increased fuel consumption, wasted fuel increasing air pollution and carbon dioxide emissions, noise pollution, inconvenience caused due to long queues and increased cost. Intelligent methods have not yet been adopted on Indian roads. Most of the cities rely on pre-timed control. This paper presents an intelligent system for traffic flow prediction and control through green signaling. Live Data from upstream detectors and historical data of a particular junction are input to the fuzzy control which predicts the estimated flow at the intersection. Based on this estimated flow Particle Swarm Optimizer outputs the optimized green timing for the intersection. TSIS-CORSIM is used for simulation of the system. The results show that the proposed system results in lesser delay than the pre-timed and actuated controller of CORSIM.