Design, Preparation, and Execution of the 100-AV Field Test for the CIRCLES Consortium: Methodology and Implementation of the Largest Mobile Traffic Control Experiment to Date

Ameli, Mostafa; Mcquade, Sean T.; Lee, Jonathan W.; Bunting, Matt; Nice, Matthew W.; Wang, Han; Barbour, William; Weightman, Ryan; Denaro, Chris; Delorenzo, Ryan; Hornstein, Sharon; Davis, Jon F.; Timsit, Dan; Wagner, Riley; Xu, Ruotong; Mahmood, Malaika; Mahmood, Mikail; Monache, Maria Delle; Seibold, Benjamin; Work, Daniel; Sprinkle, Jonathan; Piccoli, Benedetto; Bayen, Alexandre M.

doi:10.1109/mcs.2024.3500332

Design, Preparation, and Execution of the 100-AV Field Test for the CIRCLES Consortium: Methodology and Implementation of the Largest Mobile Traffic Control Experiment to Date

Journal Article · Wed Jan 29 23:00:00 EST 2025 · IEEE Control Systems

DOI:https://doi.org/10.1109/mcs.2024.3500332· OSTI ID:2545916

^[1]; Mcquade, Sean T. ^[2]; ^[3]; Bunting, Matt ^[4]; Nice, Matthew W. ^[5]; Wang, Han ^[3]; Barbour, William ^[6]; Weightman, Ryan ^[7]; Denaro, Chris ^[7]; Delorenzo, Ryan ^[8]; Hornstein, Sharon ^[9]; Davis, Jon F. ^[3]; Timsit, Dan ^[10]; Wagner, Riley ^[4]; Xu, Ruotong ^[3]; Mahmood, Malaika ^[8]; Mahmood, Mikail ^[8]; ^[3]; ^[2]; Work, Daniel ^[4] more »

University Gustave Eiffel Paris, Champs-sur-Marne (France); University of California, Berkeley, CA (United States); University of California Berkeley
Temple University, Philadelphia, PA (United States)
University of California, Berkeley, CA (United States)
Vanderbilt University, Nashville, TN (United States)
Vanderbilt University, Nashville, TN (United States); Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA (United States)
Vanderbilt University and the Institute for Software Integrated Systems, Nashville, TN (United States)
Department of Computational and Integrated Biology, Camden, NJ (United States)
Rutgers University-Camden, NJ (United States)
General Motors R&D site, Herzliya (Israel)
Ecole Polytechnique, Palaiseau (Switzerland)

This article presents the comprehensive design, setup, execution, and evaluation of the MegaVanderTest (MVT) experiment conducted by the Congestion Impacts Reduction via CAV-in-the-Loop Lagrangian Energy Smoothing (CIRCLES) Consortium, which aimed to mitigate traffic congestion using partially autonomous vehicles (AVs) (see “Summary”). The experiment involved 100 vehicles on Nashville’s Interstate 24 (I-24) highway, utilizing various control algorithms to smooth stop-and-go traffic waves. The execution of the MVT experiment required a coordinated effort from multiple teams. This article details the meticulous planning process, the coordinated efforts of multiple teams, and the innovative use of a dynamic agent-based simulation framework for traffic evaluation. Here, the contributions of this work include demonstrating and providing a detailed roadmap for large-scale live traffic experiments, illustrating the lessons learned from the MVT experiment, and introducing the other articles in this issue and their complementary relationship in the MVT experiment.

View Accepted Manuscript (DOE)

Research Organization:: University of California, Berkeley, CA (United States); Vanderbilt University, Nashville, TN (United States); Rutgers University-Camden, NJ (United States); Temple University, Philadelphia, PA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO); National Science Foundation (NSF)

Grant/Contract Number:: EE0008872

OSTI ID:: 2545916

Journal Information:: IEEE Control Systems, Journal Name: IEEE Control Systems Journal Issue: 1 Vol. 45; ISSN 1066-033X

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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