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DOE OSTI · 2545914

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

Hayat, Amaury [Vanderbilt University, Nashville, TN (United States); University of California Berkeley] (ORCID:0000000270171097)·Alanqary, Arwa [University of California, Berkeley, CA (United States)]·Bhadani, Rahul [University of Alabama in Huntsville, AL (United States)]·Denaro, Christopher [Rutgers University–Camden, NJ (United States)]·Weightman, Ryan J. [Rutgers University–Camden, NJ (United States)] (ORCID:0009000215322996)·Xiang, Shengquan [Peking University, Beijing (China)]·Lee, Jonathan W. [University of California, Berkeley, CA (United States)]·Bunting, Matthew [Vanderbilt University, Nashville, TN (United States)]·Gollakota, Anish [University of California, Berkeley, CA (United States)]·Nice, Matthew W. [Vanderbilt University, Nashville, TN (United States)]·Gloudemans, Derek [Vanderbilt University, Nashville, TN (United States)]·Zachár, Gergely [Vanderbilt University, Nashville, TN (United States)]·Davis, Jon F. [University of California, Berkeley, CA (United States)] (ORCID:0009000597033443)·Delle Monache, Maria Laura [University of California, Berkeley, CA (United States)]·Seibold, Benjamin [Temple University, Philadelphia, PA (United States)]·Bayen, Alexandre M. [University of California, Berkeley, CA (United States)]·Sprinkle, Jonathan [Vanderbilt University, Nashville, TN (United States)]·Work, Daniel B. [Vanderbilt University, Nashville, TN (United States)]·Piccoli, Benedetto [Rutgers University–Camden, NJ (United States)]
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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. 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.

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION42 ENGINEERING54 ENVIRONMENTAL SCIENCESAutonomous vehiclesCamerasControl designOscillatorsRoad transportationSmoothing methodsTraffic controlTrajectory

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Hayat, Amaury [Vanderbilt University, Nashville, TN (United States); University of California Berkeley] (ORCID:0000000270171097), Alanqary, Arwa [University of California, Berkeley, CA (United States)], Bhadani, Rahul [University of Alabama in Huntsville, AL (United States)], Denaro, Christopher [Rutgers University–Camden, NJ (United States)], Weightman, Ryan J. [Rutgers University–Camden, NJ (United States)] (ORCID:0009000215322996), Xiang, Shengquan [Peking University, Beijing (China)], Lee, Jonathan W. [University of California, Berkeley, CA (United States)], Bunting, Matthew [Vanderbilt University, Nashville, TN (United States)], Gollakota, Anish [University of California, Berkeley, CA (United States)], Nice, Matthew W. [Vanderbilt University, Nashville, TN (United States)], Gloudemans, Derek [Vanderbilt University, Nashville, TN (United States)], Zachár, Gergely [Vanderbilt University, Nashville, TN (United States)], Davis, Jon F. [University of California, Berkeley, CA (United States)] (ORCID:0009000597033443), Delle Monache, Maria Laura [University of California, Berkeley, CA (United States)], Seibold, Benjamin [Temple University, Philadelphia, PA (United States)], Bayen, Alexandre M. [University of California, Berkeley, CA (United States)], Sprinkle, Jonathan [Vanderbilt University, Nashville, TN (United States)], Work, Daniel B. [Vanderbilt University, Nashville, TN (United States)], Piccoli, Benedetto [Rutgers University–Camden, NJ (United States)]. 2025-01-30. Traffic Smoothing Using Explicit Local Controllers: Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic. https://doi.org/10.1109/mcs.2024.3503402

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