Muresan, M, Hossain, S. M. K., Fu, L. (2015). A Model-Based Evaluation of an ECO-Driving System Using Connected Vehicle Technologies. 2015 CSCE Annual Conference.

Muresan, M, Hossain, S. M. K., Fu, L. (2015). A Model-Based Evaluation of an ECO-Driving System Using Connected Vehicle Technologies. 2015 CSCE Annual Conference.

Abstract:

Connected vehicle technologies are often touted for their potential applications to vehicle safety. However, these technologies also have the potential to contribute to a transportation system’s sustainability. Autonomous and connected vehicles provide traffic engineers with many opportunities for emissions reductions, from vehicle routing to a vehicle’s acceleration pattern. This paper presents the results of traffic and emissions micro-simulations that assess an emissions-based intersection approach driving pattern. The analysis was conducted on a traffic corridor simulated using VISSIM. Communication between vehicles and infrastructure on the network was modelled in the software, and vehicles made decisions on their desired acceleration and speeds based on an emission reduction algorithm. Simulation was done for varying penetration levels, simulating mixed-market environments. The results of the VISSIM model were fed into the US EPA’s MOVES2014 emission model to generate an estimate of emissions for each associated scenario. The results of the study show that automated and connected vehicle technologies have the potential to reduce vehicle emissions.