Impact of Mixed Traffic in Urban Environment with Different Percentage Rates of Adaptive stop&go Cruise Control Equipped Vehicles on the Traffic Flow, Travel Time, Energy Demand and Emission

Abstract

Based on the fact that new vehicles bring new technologies into the traffic step by step, the research presented in this paper is focused on the impact of mixed traffic stream in urban environment with different percentage rates of adaptive stop&go cruise control equipped vehicles on the traffic flow, travel time, energy demand and emission. A model of a mixed traffic stream comprised of conventional and advanced vehicles was built upon a microscopic single lane urban traffic simulator that we have previously developed, calibrated and validated. Through number of parallel simulations of real and mixed traffic stream and analysis of the obtained results, we have evaluated the impact that certain presence rates of adaptive stop&go cruise control equipped vehicles in the mixed traffic stream have on the traffic flow, travel time, energy demand and emission. Furthermore, the comparison of the results leads towards some interesting conclusions which may serve as a base for further tuning of several aspects related to mixed traffic in urban environment.