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Title: Assessing Energy Impacts of Connected and Automated Vehicles at the U.S. National Level - Preliminary Bounds and Proposed Methods

Abstract

Connected and automated vehicles (CAVs) can have tremendous impacts on transportation energy use. Using published literature to establish bounds for factors impacting vehicle demand and vehicle efficiency, we find that CAVs can potentially lead to a threefold increase or decrease in light-duty vehicle energy consumption in the United States. Much of this uncertainty is due to possible changes in travel patterns (in vehicle miles traveled) or fuel efficiency (in gallons per mile), as well as future adoption levels and patterns of use. This chapter details the factors which go into these estimates, and presents a methodological approach for refining this wide range of estimated fuel consumption.

Authors:
 [1];  [1];  [2]; ORCiD logo [3]; ORCiD logo [3];  [4];  [4];  [5];  [5];  [1]
  1. Argonne National Laboratory
  2. Vanderbilt University
  3. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  4. Oak Ridge National Laboratory
  5. University of Illinois at Chicago
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1545975
Report Number(s):
NREL/CH-5400-71471
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Book
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; energy; transportation; passenger vehicles; automated vehicles; connected vehicles; demand; efficiency

Citation Formats

Stephens, Thomas S., Auld, Josh, Chen, Yuche, Gonder, Jeffrey D, Kontou, Eleftheria, Lin, Zhenhong, Xie, Fei, Mohammadian, Abolfazl, Shabanpour, Ramin, and Gohlke, David. Assessing Energy Impacts of Connected and Automated Vehicles at the U.S. National Level - Preliminary Bounds and Proposed Methods. United States: N. p., 2018. Web. doi:10.1007/978-3-319-94896-6_10.
Stephens, Thomas S., Auld, Josh, Chen, Yuche, Gonder, Jeffrey D, Kontou, Eleftheria, Lin, Zhenhong, Xie, Fei, Mohammadian, Abolfazl, Shabanpour, Ramin, & Gohlke, David. Assessing Energy Impacts of Connected and Automated Vehicles at the U.S. National Level - Preliminary Bounds and Proposed Methods. United States. doi:10.1007/978-3-319-94896-6_10.
Stephens, Thomas S., Auld, Josh, Chen, Yuche, Gonder, Jeffrey D, Kontou, Eleftheria, Lin, Zhenhong, Xie, Fei, Mohammadian, Abolfazl, Shabanpour, Ramin, and Gohlke, David. Tue . "Assessing Energy Impacts of Connected and Automated Vehicles at the U.S. National Level - Preliminary Bounds and Proposed Methods". United States. doi:10.1007/978-3-319-94896-6_10.
@article{osti_1545975,
title = {Assessing Energy Impacts of Connected and Automated Vehicles at the U.S. National Level - Preliminary Bounds and Proposed Methods},
author = {Stephens, Thomas S. and Auld, Josh and Chen, Yuche and Gonder, Jeffrey D and Kontou, Eleftheria and Lin, Zhenhong and Xie, Fei and Mohammadian, Abolfazl and Shabanpour, Ramin and Gohlke, David},
abstractNote = {Connected and automated vehicles (CAVs) can have tremendous impacts on transportation energy use. Using published literature to establish bounds for factors impacting vehicle demand and vehicle efficiency, we find that CAVs can potentially lead to a threefold increase or decrease in light-duty vehicle energy consumption in the United States. Much of this uncertainty is due to possible changes in travel patterns (in vehicle miles traveled) or fuel efficiency (in gallons per mile), as well as future adoption levels and patterns of use. This chapter details the factors which go into these estimates, and presents a methodological approach for refining this wide range of estimated fuel consumption.},
doi = {10.1007/978-3-319-94896-6_10},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {6}
}

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Works referenced in this record:

Analysis of the Effects of Connected–Automated Vehicle Technologies on Travel Demand
journal, January 2017

  • Auld, Joshua; Sokolov, Vadim; Stephens, Thomas S.
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2625, Issue 1
  • DOI: 10.3141/2625-01

Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach
journal, April 2019

  • Chen, Yuche; Gonder, Jeffrey; Young, Stanley
  • Transportation Research Part A: Policy and Practice, Vol. 122
  • DOI: 10.1016/j.tra.2017.10.012