Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments |
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| Institution: | 1. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews Ave, Urbana, IL 61801, USA;2. Department of Mathematics, Temple University, 1805 North Broad Street, Philadelphia, PA 19122, USA;3. Inria, University Grenoble Alpes, CNRS, GIPSA-lab, F-38000 Grenoble, France;4. Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721-0104, USA;5. Lipscomb University, 1 University Park Drive, Nashville, TN 37204, USA;6. Yale University, New Haven, CT 06520, USA;7. Pennsylvania State University, University Park, PA 16801, USA;8. Department of Mathematical Sciences, Rutgers University – Camden, 311 N. 5th St, Camden, NJ 08102, USA;9. Department of Civil and Environmental Engineering, Vanderbilt University, 1025 16th Ave. S., Nashville, TN 37212, USA;1. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews Ave, Urbana, IL 61801, USA;2. Department of Civil and Environmental Engineering, and the Institute for Software Integraated Systems, Vanderbilt University, 1025 16th Ave. S., Nashville, TN 37204, USA;3. Inria, University Grenoble Alpes, CNRS, GIPSA-lab, F-38000 Grenoble, France;4. Department of Mathematical Sciences, Rutgers University – Camden, 311 N. 5th St, Camden, NJ 08102, USA;5. Department of Mathematics, Temple University, 1805 North Broad Street, Philadelphia, PA 19122, USA;6. Department of Electrical and Computer Engineering, University of Arizona, 1230 E. Speedway Blvd, Tucson, AZ 85721, USA;1. The University of Western Australia, Australia;2. The Planning and Transport Research Centre (PATREC), Australia;1. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA;2. Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125, USA;1. Department of Advanced Interdisciplinary Studies, Graduate School of Engineering, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8904, Japan;2. National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan;3. JST, ERATO, Kawarabayashi Large Graph Project, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan;4. Department of Aeronautics and Astronautics, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan;5. Japan Society for the Promotion of Science, 5-3-1 Ichibancho, Kojimachi, Chiyoda-ku, Tokyo 102-0083, Japan;6. Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan |
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| Abstract: | Traffic waves are phenomena that emerge when the vehicular density exceeds a critical threshold. Considering the presence of increasingly automated vehicles in the traffic stream, a number of research activities have focused on the influence of automated vehicles on the bulk traffic flow. In the present article, we demonstrate experimentally that intelligent control of an autonomous vehicle is able to dampen stop-and-go waves that can arise even in the absence of geometric or lane changing triggers. Precisely, our experiments on a circular track with more than 20 vehicles show that traffic waves emerge consistently, and that they can be dampened by controlling the velocity of a single vehicle in the flow. We compare metrics for velocity, braking events, and fuel economy across experiments. These experimental findings suggest a paradigm shift in traffic management: flow control will be possible via a few mobile actuators (less than 5%) long before a majority of vehicles have autonomous capabilities. |
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| Keywords: | Traffic waves Autonomous vehicles Traffic control |
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