Abstract
Automated vehicles (AVs) are increasingly recognized as having the potential to decrease carbon dioxide emissions and petroleum consumption through mechanisms such as improved efficiency, better routing, and lower traffic congestion, and by enabling advanced technologies. However, AVs also have the potential to increase fuel consumption through effects such as longer distances traveled, increased use of transportation by underserved groups, and increased travel speeds. Here we collect available estimates for many potential effects and use a modified Kaya Identity approach to estimate the overall range of possible effects. Depending on the specific effects that come to pass, widespread AV deployment can lead to dramatic fuel savings, but has the potential for unintended consequences.
Original language | American English |
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Title of host publication | Road Vehicle Automation |
Subtitle of host publication | Lecture Notes in Mobility |
Editors | G. Meyer, S. Beiker |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 137-153 |
Number of pages | 17 |
DOIs | |
State | Published - 2014 |
Publication series
Name | Lecture Notes in Mobility |
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ISSN (Print) | 2196-5544 |
ISSN (Electronic) | 2196-5552 |
Bibliographical note
Publisher Copyright:© 2014, Springer International Publishing Switzerland.
NREL Publication Number
- NREL/CH-6A20-60887
Keywords
- Automation
- Autonomous
- Car sharing
- Electrification
- Energy
- Petroleum
- Platooning
- Self-driving
- Smart routing