Potential Energy Implications of Connected and Automated Vehicles: Exploring Key Leverage Points through Scenario Screening and Analysis

Research output: Contribution to journalArticlepeer-review

4 Scopus Citations

Abstract

Connected and automated vehicle (CAV) technologies could transform the transportation system over the coming decades, but face vehicle and systems engineering challenges, as well as technological, economic, demographic, and regulatory issues. The authors have developed a system dynamics model for generating, analyzing, and screening self-consistent CAV adoption scenarios. Results can support selection of scenarios for subsequent computationally intensive study using higher-resolution models. The potential for and barriers to large-scale adoption of CAVs have been analyzed using preliminary quantitative data and qualitative understandings of system relationships among stakeholders across the breadth of these issues. Although they are based on preliminary data, the results map possibilities for achieving different levels of CAV adoption and system-wide fuel use and demonstrate the interplay of behavioral parameters such as how consumers value their time versus financial parameters such as operating cost. By identifying the range of possibilities, estimating the associated energy and transportation service outcomes, and facilitating screening of scenarios for more detailed analysis, this work could inform transportation planners, researchers, and regulators.

Original languageAmerican English
Pages (from-to)84-94
Number of pages11
JournalTransportation Research Record
Volume2673
Issue number5
DOIs
StatePublished - 1 May 2019

Bibliographical note

Publisher Copyright:
© National Academy of Sciences: Transportation Research Board 2019.

NREL Publication Number

  • NREL/JA-6A20-72017

Keywords

  • automated vehicles
  • connected vehicles
  • smart vehicles
  • system dynamics
  • technology
  • transportation systems
  • vehicle adoption

Fingerprint

Dive into the research topics of 'Potential Energy Implications of Connected and Automated Vehicles: Exploring Key Leverage Points through Scenario Screening and Analysis'. Together they form a unique fingerprint.

Cite this