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

Eleftheria Kontou, Jeffrey Gonder, Thomas Stephens, Josh Auld, Yuche Chen, Zhenhong Lin, Fei Xie, Abolfazl Mohammadian, Ramin Shabanpour, David Gohlke

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus Citations

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.

Original languageAmerican English
Title of host publicationRoad Vehicle Automation 5
EditorsG. Meyer, S. Beiker
PublisherSpringer Science and Business Media Deutschland GmbH
Pages105-115
Number of pages11
DOIs
StatePublished - 2018

Publication series

NameLecture Notes in Mobility
ISSN (Print)2196-5544
ISSN (Electronic)2196-5552

Bibliographical note

Publisher Copyright:
© 2019, Springer International Publishing AG, part of Springer Nature.

NREL Publication Number

  • NREL/CH-5400-71471

Keywords

  • Automated vehicles
  • Connected vehicles
  • Demand
  • Efficiency
  • Energy
  • Passenger vehicles
  • Transportation

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