No abstract

No abstract

No abstract

A signal control intersection increases not only vehicle delay, but also vehicle emissions and fuel consumption in that area. Because more and more fuel and air pollution problems have arisen recently, an intersection signal control optimization method which aims at reducing vehicle emissions, fuel consumption and vehicle delay is greatly needed. This paper proposes a signal control multi-object optimization method to reduce vehicle emissions, fuel consumption and vehicle delay simultaneously at an intersection. The optimization method combines Paramics microscopic traffic simulation software, Comprehensive Modal Emissions Model (CMEM), and genetic algorithm. An intersection in Haizhu District, Guangzhou, is used for a case study. The result of the case study shows the optimal timing scheme obtained from this method is better than the Webster timing scheme.

No abstract