Sensitivity analysis on a dynamic coupling model for V2V communication distance control

Research output: Contribution to journalConference articleContributedpeer-review

Contributors

  • Darko Frtunik - , University of New South Wales (Author)
  • Amolika Sinha - , University of New South Wales (Author)
  • Hanna Grzybowska - , University of New South Wales, Commonwealth Scientific & Industrial Research Organisation (CSIRO) (Author)
  • Navreet Virdi - , University of New South Wales (Author)
  • S. Travis Waller - , University of New South Wales (Author)
  • Vinayak Dixit - , University of New South Wales (Author)

Abstract

Connected and autonomous vehicles (CAVs) are expected to save lives by reducing the frequency and severity of traffic accidents and offer additional benefits to the world by reducing travel time and congestion. Challenges exist preventing widespread implementation of CAV technology; notably CAV susceptibility to rear-end collisions, suspected to be due to poor handling of longitudinal distance control in mixed-fleet traffic. This study aimed to determine if it was possible to improve this longitudinal distance control; increasing safety without sacrificing the performance benefits conferred by CAVs. A fixed coupling distance in a custom CAV control protocol was replaced with a linear dynamic model by incorporating a distance and relative velocity modifier. A sensitivity analysis of the modifiers was performed, comparing network performance statistics and conflict and collision rates. Accident frequency and network performance were observed to be more sensitive to the distance modifier than the relative velocity modifier. An increase in the number of CAVs on the road resulted in a faster network, generally at the expense of safety for conventional vehicles (MVs). A select few combinations of velocity and distance modifiers produced networks that outperformed the base case benchmark in both safety and network performance.

Details

Original languageEnglish
Pages (from-to)372-379
Number of pages8
JournalProcedia Computer Science
Volume184
Publication statusPublished - 2021
Peer-reviewedYes
Externally publishedYes

Conference

Title12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops
Duration23 - 26 March 2021
CityWarsaw
CountryPoland

External IDs

ORCID /0000-0002-2939-2090/work/141543782

Keywords

Sustainable Development Goals

ASJC Scopus subject areas

Keywords

  • Connected and automated vehicles, Crash severity, Rear-end collisions, Safety