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Title: Modeling the Energy Use of a Connected and Automated Transportation System (Poster)

Early research points to large potential impacts of connected and automated vehicles (CAVs) on transportation energy use - dramatic savings, increased use, or anything in between. Due to a lack of suitable data and integrated modeling tools to explore these complex future systems, analyses to date have relied on simple combinations of isolated effects. This poster proposes a framework for modeling the potential energy implications from increasing penetration of CAV technologies and for assessing technology and policy options to steer them toward favorable energy outcomes. Current CAV modeling challenges include estimating behavior change, understanding potential vehicle-to-vehicle interactions, and assessing traffic flow and vehicle use under different automation scenarios. To bridge these gaps and develop a picture of potential future automated systems, NREL is integrating existing modeling capabilities with additional tools and data inputs to create a more fully integrated CAV assessment toolkit.
Authors:
;
Publication Date:
OSTI Identifier:
1150790
Report Number(s):
NREL/PO-5400-62454
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2014 Automated Vehicles Symposium, 15-17 July 2014, Burlingame, California; Related Information: NREL (National Renewable Energy Laboratory)
Research Org:
National Renewable Energy Laboratory (NREL), Golden, CO.
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy Policy and Analysis and Evaluation; NREL Laboratory Directed Research and Development (LDRD)
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; 30 DIRECT ENERGY CONVERSION CONNECTED AND AUTOMATED VEHICLES; CAVS; CAV MODELING; TRANSPORTATION ENERGY USE; INTEGRATED MODELING TOOLS; FASTSIM; FLEETDNA; DRIVE ANALYSIS TOOL; TRANSPORTATION SECURE DATA CENTER