Inconsistency of AV Impacts on Traffic Flow: Predictions in Literature

Research output: Contribution to book/conference proceedings/anthology/reportChapter in book/anthology/reportContributedpeer-review

Contributors

  • Xiaowei Tom Shi - , University of Michigan, Ann Arbor (Author)
  • Hao Liu - , University of California at Berkeley (Author)
  • Meng Wang - , Chair of Traffic Process Automation, TUD Dresden University of Technology (Author)
  • Xiaopeng Li - , University of Wisconsin-Madison (Author)
  • Biagio Ciuffo - , European Commission Joint Research Centre Institute (Author)
  • Daniel Work - , Vanderbilt University (Author)
  • David Kan - , Florida Atlantic University (Author)

Abstract

In the literature, automated vehicle (AV) modeling studies tend to depict positive impacts of AV technologies on traffic. However, recent field experiments of production AVs (production vehicles with automated driving features) showed negative impacts on traffic flow stability and capacity. These inconsistencies may hinder the development and deployment of AV technologies. To identify major causes of the discrepancy, a breakout session was held at the 2022 Transportation Research Board (TRB) Automated Road Transportation Symposium (ARTS). Leading researchers from academia, industry, and government agencies were invited to present their thoughts on the issue. This book chapter summarizes the essence of the presentations and discussions at the breakout session. It provides insights into the modeling and simulation of AVs, AV technology development, and traffic management in the era of AVs.

Details

Original languageEnglish
Title of host publicationLecture Notes in Mobility
PublisherSpringer Science and Business Media B.V.
Pages165-173
Number of pages9
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesLecture Notes in Mobility
VolumePart F645
ISSN2196-5544

External IDs

ORCID /0000-0001-6555-5558/work/171064760

Keywords

Keywords

  • adaptive cruise control, automated vehicles, field experiments, traffic flow impacts, traffic simulation