The impacts of traffic signal timings optimization on reducing vehicle emissions and fuel consumption by Aimsun and Synchro software's (Case study: Tehran intersections)

Considering the fact that in recent years the transport sector allocated considerable fuel consumption and emissions, evaluating issues related to fuel consumption and air pollution is one of the most important issues of transport sector. Estimate of fuel consumption models and emissions are new issues that discussions of various models have been published in Iran and different countries. But assessing the impact of traffic signal timing optimization on fuel consumption and emissions is one of the new and important subjects that have significant effect on emissions and economics. Therefore, 5 Intersections of Tehran in 5 different areas selected for the case study and studied period in traffic simulation and optimization to address problems related to emissions were in 2013 in this thesis. Traffic data and parameters that related to emissions and fuel consumption is obtained as ADT in days of October in studied year. After optimization, the validity and accuracy of project have been used by Aimsun software and it was observed that traffic signal timing optimization have significant reduction in emissions and fuel consumption. The considerable results of this research can be cited to Synchro software application in traffic signal timing optimization. For example, after optimization fuel consumption has been decreased about 0.25%, 0.17% in AM peak time and, 3.63%, 2.46%, in PM peak time at Mahalati-10 farvardin, Shariati-Dolat intersections respectively.