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Assessing The Energy Impact Of Traffic Management and Vehicle Hybridization

Journal Article · · International Journal of Complexity in Applied Science and Technology
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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 U.S. 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.
Research Organization:
Argonne National Laboratory (ANL)
Sponsoring Organization:
USDOE Office of Science - Office of Basic Energy Sciences
DOE Contract Number:
AC02-06CH11357
OSTI ID:
1494829
Journal Information:
International Journal of Complexity in Applied Science and Technology, Journal Name: International Journal of Complexity in Applied Science and Technology Journal Issue: 1 Vol. 1; ISSN 1740-0546
Country of Publication:
United States
Language:
English

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Related Subjects

Energy Assessment
Integrated Modeling
Powertrain Simulation
Traffic Microsimulation
Travel Demand