Traffic Smoothing Using Explicit Local Controllers: Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic

Hayat, Amaury; Alanqary, Arwa; Bhadani, Rahul; Denaro, Christopher; Weightman, Ryan J.; Xiang, Shengquan; Lee, Jonathan W.; Bunting, Matthew; Gollakota, Anish; Nice, Matthew W.; Gloudemans, Derek; Zachár, Gergely; Davis, Jon F.; Delle Monache, Maria Laura; Seibold, Benjamin; Bayen, Alexandre M.; Sprinkle, Jonathan; Work, Daniel B.; Piccoli, Benedetto

doi:10.1109/mcs.2024.3503402

Traffic Smoothing Using Explicit Local Controllers: Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic

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

DOI:https://doi.org/10.1109/mcs.2024.3503402· OSTI ID:2545914

^[1]; Alanqary, Arwa ^[2]; Bhadani, Rahul ^[3]; Denaro, Christopher ^[4]; ^[4]; Xiang, Shengquan ^[5]; Lee, Jonathan W. ^[2]; Bunting, Matthew ^[6]; Gollakota, Anish ^[2]; Nice, Matthew W. ^[6]; Gloudemans, Derek ^[6]; Zachár, Gergely ^[6]; ^[2]; Delle Monache, Maria Laura ^[2]; Seibold, Benjamin ^[7]; Bayen, Alexandre M. ^[2]; Sprinkle, Jonathan ^[6]; Work, Daniel B. ^[6]; Piccoli, Benedetto ^[4]

Vanderbilt University, Nashville, TN (United States); University of California Berkeley
University of California, Berkeley, CA (United States)
University of Alabama in Huntsville, AL (United States)
Rutgers University–Camden, NJ (United States)
Peking University, Beijing (China)
Vanderbilt University, Nashville, TN (United States)
Temple University, Philadelphia, PA (United States)

This article presents experimental evidence of the ability of a single automated vehicle acting as a controller to effectively dissipate stop-and-go waves in real traffic. The automated vehicle succeeded in stabilizing the speed profile by reducing oscillations in time and speed variations between vehicles during rush hour on I-24 in the Nashville area. Here, we detail the control design, deployment and results obtained in this experiment, conducted as part of the CIRCLES consortium’s “MegaVanderTest” 2022, which involved a total of 100 automated vehicles.

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:: 2545914

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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