Assessing the energy impact of traffic management and vehicle hybridisation

Abstract

Abstract:We provide a review of methodologies previously used to evaluate impacts of transportation systems and changes in transportation infrastructure on energy consumption. We present a new framework that allows estimating the energy impacts of managed traffic lanes in the context of vehicle automation. The presented framework relies on two major components, an integrated transportation system simulator and a powertrain simulator. For the transportation system simulator we propose using integrated transportation system simulator POLARIS. For the powertrain simulator we use AUTONOMIE, a tool funded by the US Department of Energy. Both tools are developed at Argonne National Laboratory. We demonstrate our approach by modelling a transportation corridor along a major highway. Two scenarios are considered, unmanaged, when both trucks and cars use all the lanes of the highway and managed, under which one of the highway lanes is a dedicated lane for truck traffic and trucks are forming platoons using adaptive cruise control technology. We provide the numerical results of the experiment at the end of the paper. We also present the impact of vehicle hybridisation combined with automation on the energy consumption.Keywords: travel demand; traffic microsimulation; energy assessment; integrated modelling; powertrain simulation. Namwook Kim is an Assistant Professor at Department of Mechanical Engineering Hanyang University. His research area is in developing, validating, and evaluating simulation models for advanced vehicles. Dynamics, optimisation, and optimal control theory are vigorously used for these studies, and optimal control for hybrid electric vehicles was the theme of his dissertation.