A hybrid fundamental diagram for modeling mixed human and automated traffic flow

Mingfeng Shang, Raphael Stern

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Automated and partially automated vehicles will substantially change the way traffic flows, even at low market penetration rates. While the primary tool for analysis of mixed human-piloted and automated traffic has been microscopic simulation, the use of macroscopic traffic simulation allows for larger-scale simulations. With that in mind we propose a simple numerical method to estimate the composite fundamental diagram of mixed human-piloted and automated traffic flow from the fundamental diagrams of 100% human-piloted and 100% automated traffic flow and conduct calibrated microscopic traffic simulations to produce fundamental diagrams for how mixed traffic flow may behave at different market penetration rates. This method is demonstrated for both an automated vehicle and a commercially available adaptive cruise control vehicle. The proposed method is shown to be able to accurately estimate the shape of the fundamental diagram for arbitrary automated vehicle market penetration rates and the results provide insight into how the mixed traffic flow may behave at the macroscopic level.

Original languageEnglish (US)
Title of host publication2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728189956
DOIs
StatePublished - Jun 16 2021
Event7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021 - Heraklion, Greece
Duration: Jun 16 2021Jun 17 2021

Publication series

Name2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021

Conference

Conference7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
Country/TerritoryGreece
CityHeraklion
Period6/16/216/17/21

Bibliographical note

Funding Information:
VII. ACKNOWLEDGEMENTS This work is supported by the University of Minnesota Center for Transportation Studies through the Transportation Scholars Program.

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Adaptive cruise control
  • Automated vehicles
  • Fundamental diagram

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