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

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish (US)
Title of host publicationRoad Vehicle Automation 5
EditorsGereon Meyer, Sven Beiker
PublisherSpringer
Pages105-115
Number of pages11
ISBN (Electronic)978-3-319-94896-6
ISBN (Print)978-3-319-94895-9, 978-3-030-06934-6
DOIs
StatePublished - Jun 2018
Externally publishedYes

Publication series

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

Keywords

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

ASJC Scopus subject areas

  • Energy (miscellaneous)
  • Automotive Engineering
  • Control and Systems Engineering
  • Transportation

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