Pixel detection and elimination algorithm to control traffic congestion aided by Fuzzy logic

Abstract

In the modern era, the escalation of vehicles on the roads has caused an increasin g need for a reliable and intelli g ent control of the traffic li g ht system. This paper is aimed at solvin g this crisis by effectively computin g the density of traffic based on the ima g es picked up by cameras placed on the traffic posts. The method involves a simple al g orithm which performs pixel elimination and detection followed by processin g usin g a fuzzy controller. It can be further extended towards hardware implementation usin g dedicated processors. Our approach involves takin g ima g es at re g ular intervals and continuously processin g them with a reference ima g e which is captured when there is no traffic (empty road).The reference ima g es are stored and used for calibration purpose. This al g orithm enables the system to infer the traffic density which is then evaluated by a fuzzy controller to determine the timin g of the traffic si g nals. The fuzzy controller consists of an output function which dynamically controls the output based on the comparison of current ima g e's pixel count correspondin g to the vehicle density.Index Terms-Fuzzy controller, Pixel elimination and detection al g orithm, output distribution function.