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 language | American English |
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Title of host publication | Road Vehicle Automation 5 |
Editors | G. Meyer, S. Beiker |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 105-115 |
Number of pages | 11 |
DOIs | |
State | Published - 2018 |
Publication series
Name | Lecture Notes in Mobility |
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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