Fuzzy Time Logic-Based Traffic Control System Using Hyper Dynamic Scheduling Graph Theory Approach for Traffic Environment

By day-to-day development in transports as in road ways, the traffic issues is more mitigation arriving the jamming. Specifically the Multi-lan signals posed complex nature for signal arriving. The traffic controller using fuzzy assumption rules for make effort in signaling system. Traffic signals not as intelligence based on the logical representation to sense to identify the signals Due to the Nerve traffic control system design time complexity is not mush enough to make much efficient. To propose a Fuzzy logic tragic control system based on Fuzzy Hyper Dynamic scheduling graph theory approach (FHDSG) with addition time state logic control. The proposed system is efficient, handling congestion and traffic flow in the intersection by estimation the arrival time. Each traffic slot is assigned by periodic management of the green light space. By controlling the severe traffic, Expected time computation is used to calculate the duration of the green light of the traffic signal. This paper has proposed the use of intelligent traffic light controllers, fuzzy logic depends the scheduling to assign the slot of waiting to release the traffic. It is implemented in order to provide intelligence of Max state scheduling to the fuzzy logic control system. The proposed sytem reduce the time complex nature as well provident much efficient traffic control system