Fuzzy Based Adaptive Two Phase Traffic Signal Controller

Abstract

An adaptive traffic signal controller computes the phase timings based on real-time data of traffic and it generally results in better performance for various traffic situations. In general the fuzzy traffic signal controllers are proved to be better as compared to the traditional fixed-time controller. However the decisions were made on traffic conditions and the significance of phase sequence was suppressed. This research work dealt with the new fuzzy traffic signal controller for a full single intersection. The proposed fuzzy controller includes two main phases: fuzzy phase selection mechanism and fuzzy green time decision. The first phase will decides the next phase to be green and second phase decides the green timings for the corresponding phase. The proposed fully approach is compared with the traditional fixed-timed control system (FTC) and experimental results shows the significance reduction in average waiting time at the intersection and average queue length over fixed timed control.