Controlling and Optimizing Vehicular Emissions and Fuel Consumption in Urban Intersections by Fuzzy Intelligent Controller

Recently, Traffic phenomena is one of the most serious problems in most cities. It has had negative consequences on air quality and the quality of people’s life. By development of advanced technologies as intelligent control systems negative consequences have been significantly decreased. So, the aim of this study is to optimize and reduce vehicular emissions and fuel consumption of urban intersections in Boroujerd city by Fuzzy Logic (FL). For implementing this research, two softwares were used including Synchro 8 and Matlab software. The novelty of this research is to design optimized controller system for urban intersections. Additionally, this paper guides traffic engineers to control negative effects of traffic congestion over vehicular emissions and fuel consumption in a simple way. The results of comparisons between fuzzy logic and fixed time controllers for vehicular emissions, and fuel consumption are indicated.