Fuzzy Based Real Time Traffic Signal Controller to Optimize Congestion Delays

With the increasing number of vehicle on roads, current traffic load cannot be maintained by preset Traffic signal controller. There is need to regularly monitor the traffic at roads and controller should work accordingly. Better Traffic prediction will result in better controller output. So, only solution to the problem of dynamic nature of traffic load is Dynamic or Intelligent Traffic Signal Controller. The main goal of controller is to avoid jams without any conflict in the signals. Real Time Controller is based on Sensor Mechanism and Controller unit, both will decide whether to extend or terminate the current phase. There are various ways to implement intelligent traffic signal controller, but a small amount of delay or conflict can affect the performance of whole system. Here, Work shows an optimization method for Real Time Traffic Controller using fuzzy logic that reduces waiting time significantly and its comparison with other controllers [1]. The fuzzy controller is dependent on the two factors considered here are: distance covered by vehicles over roads and total free space among vehicles on the road. The time of signal required changes dynamically depending on above defined two factors.