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

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

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

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

Vanderbilt University School of Engineering
University of California, Berkeley
University of Alabama in Huntsville
Rutgers University–Camden
Center for Computational and Integrative Biology
Tsinghua University
University of California
University of California
Temple University
Vanderbilt University

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

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. 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.

Original language	English
Pages (from-to)	95-110
Number of pages	16
Journal	IEEE Control Systems
Volume	45
Issue number	1
DOIs	https://doi.org/10.1109/MCS.2024.3503402
Publication status	Published - 1 Jan 2025
Externally published	Yes

Access to Document

10.1109/MCS.2024.3503402

Cite this

Hayat, A., Alanqary, A., Bhadani, R., Denaro, C., Weightman, R. J., Xiang, S., Lee, J. W., Bunting, M., Gollakota, A., Nice, M. W., Gloudemans, D., Zachar, G., Davis, J. F., Delle Monache, M. L., Seibold, B., Bayen, A. M., Sprinkle, J., Work, D. B., & Piccoli, B. (2025). Traffic Smoothing Using Explicit Local Controllers: Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic. IEEE Control Systems, 45(1), 95-110. https://doi.org/10.1109/MCS.2024.3503402

@article{8834c407dd844cc9b6f6018db97f6326,

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

abstract = "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. 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.",

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

note = "Publisher Copyright: {\textcopyright} 1991-2012 IEEE.",

year = "2025",

month = jan,

day = "1",

doi = "10.1109/MCS.2024.3503402",

language = "English",

volume = "45",

pages = "95--110",

journal = "IEEE Control Systems",

issn = "1066-033X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

Hayat, A, Alanqary, A, Bhadani, R, Denaro, C, Weightman, RJ, Xiang, S, Lee, JW, Bunting, M, Gollakota, A, Nice, MW, Gloudemans, D, Zachar, G, Davis, JF, Delle Monache, ML, Seibold, B, Bayen, AM, Sprinkle, J, Work, DB & Piccoli, B 2025, 'Traffic Smoothing Using Explicit Local Controllers: Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic', IEEE Control Systems, vol. 45, no. 1, pp. 95-110. https://doi.org/10.1109/MCS.2024.3503402

TY - JOUR

T1 - Traffic Smoothing Using Explicit Local Controllers

T2 - Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic

AU - Hayat, Amaury

AU - Alanqary, Arwa

AU - Bhadani, Rahul

AU - Denaro, Christopher

AU - Weightman, Ryan J.

AU - Xiang, Shengquan

AU - Lee, Jonathan W.

AU - Bunting, Matthew

AU - Gollakota, Anish

AU - Nice, Matthew W.

AU - Gloudemans, Derek

AU - Zachar, Gergely

AU - Davis, Jon F.

AU - Delle Monache, Maria Laura

AU - Seibold, Benjamin

AU - Bayen, Alexandre M.

AU - Sprinkle, Jonathan

AU - Work, Daniel B.

AU - Piccoli, Benedetto

PY - 2025/1/1

Y1 - 2025/1/1

N2 - 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. 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.

AB - 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. 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.

UR - https://www.scopus.com/pages/publications/85217013872

U2 - 10.1109/MCS.2024.3503402

DO - 10.1109/MCS.2024.3503402

M3 - Article

AN - SCOPUS:85217013872

SN - 1066-033X

VL - 45

SP - 95

EP - 110

JO - IEEE Control Systems

JF - IEEE Control Systems

IS - 1

ER -

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

Abstract

Access to Document

Other files and links

Fingerprint

Cite this