VISSIM/MOVES integration to investigate the effect of major key parameters on CO_2 emissions

摘要

This paper looks at CO_2 emissions on limited access highways in a microscopic and stochastic environment using an optimal design approach. Estimating vehicle emissions based on second-by-second vehicle operation allows the integration of a microscopic traffic simulation model with the latest US Environmental Protection Agency's mobile source emissions model to improve accuracy. A factorial experiment on a test bed prototype of the 1-4 urban limited access highway corridor located in Orlando, Florida was conducted to identify the optimal settings for CO_2 emissions reduction and to develop a microscopic transportation emission prediction model. An exponentially decaying function towards a limiting value expressed in the freeway capacity is found to correlate with CO_2 emission rates. Moreover, speeds between 55 and 60 mph show emission rate reduction effect while maintaining up to 90% of the freeway's capacity. The results show that speed has a significant impact on CO_2 emissions when detailed and microscopic analysis of vehicle operations of acceleration and deceleration are considered.