You can view the full text of this article for free using the link below.

Title: Assessing the energy impact of traffic management and vehicle hybridisation

Authors: Dominik Karbowski; Namwook Kim; Joshua Auld; Vadim Sokolov

Addresses: Center for Transportation Research, Argonne National Laboratory, Lemont, IL, USA ' Center for Transportation Research, Argonne National Laboratory, Lemont, IL, USA ' Center for Transportation Research, Argonne National Laboratory, Lemont, IL, USA ' George Mason University, Nguyen Engineering Building 2242, Fairfax, VA, 22302, USA

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; energy impact; traffic management; vehicle hybridisation; vehicle powertrains; transport infrastructure; energy consumption; traffic lanes; lane management; vehicle automation; integrated transport systems; transport corridors; hybrid electric vehicles; HEVs; hybrid vehicles; truck traffic; trucks; vehicle platoons; adaptive cruise control; ACC.

DOI: 10.1504/IJCAST.2016.081300

International Journal of Complexity in Applied Science and Technology, 2016 Vol.1 No.1, pp.107 - 124

Available online: 03 Jan 2017 *

Full-text access for editors Access for subscribers Free access Comment on this article