Adaptive Traffic Signal Controller Using Fuzzy Logic Inference Engine
Intelligent Traffic controllers are required these days to adjust to a situation of ever increasing traffic. Artificial Intelligence technique such as neuro-fuzzy systems, fixed time embedded controllers, etc. are available to handle the traffic related problems. But Adaptive traffic signal controller based on Fuzzy Inference System used in this project provides smart solutions for efficient traffic control. This system reflects two fundamental aspects of traffic responsive signal control- the observation of on-going traffic situation around the intersection, and the control of the traffic signals in a manner appropriate to the observed situation.
Courtesy : Sooraj James | Kevin George | Emmanuel David