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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/4.0.0/animate.min.css"/>
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<link rel="stylesheet" href="style.css">
<link rel="icon" href="images/logo.png">
<title>CIRCLES</title>
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<style>
@media (max-width: 768px) {
.special-container {
width: 100%;
padding-right: 15px;
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}
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max-width: 90%;
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.special-container {
max-width: 75%;
margin-right: auto;
margin-left: auto;
}
}
</style>
</head>
<body class="animate__animated animate__fadeIn animate__slow">
<!------------------------------------------------------>
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<nav class="navbar navbar-expand-lg navbar-light fixed-top bg-white">
<a class="navbar-brand" href="index.html">
<img src="images/logo.png" width="25" height="25">
CIRCLES
</a>
<button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarSupportedContent" aria-controls="navbarSupportedContent" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
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<div class="collapse navbar-collapse" id="navbarSupportedContent">
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<li class="nav-item">
<a class="nav-link" href="about.html">About</a>
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Products
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<a class="dropdown-item" href="https://flow-project.github.io/" target="_blank">FLOW</a>
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<a class="dropdown-item" href="https://jmscslgroup.github.io/strym/" target="_blank">Strym</a>
<a class="dropdown-item" href="https://jmscslgroup.github.io/libpanda/" target="_blank">Libpanda</a>
</div>
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Resources
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<a class="nav-link" href="mailto:circles.consortium@gmail.com">Contact</a>
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<!--TITLE BLOCK-->
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<section class="p-3 p-md-5 text-center bg-light" id="introduction">
<div class="col-md-8 mx-auto my-5">
<h1 class="display-4">
<img src="images/logo.png" class="icon-align" width="200" height="200">
<br>
CIRCLES
<hr class="title-hr bg-dark"/>
</h1>
<p class="lead font-weight-bold">
Using deep reinforcement learning and self-driving cars to improve traffic flow and reduce energy consumption
</p>
<a class="btn btn-warning" href="#about">Learn More</a>
</div>
</section>
<!------------------------------------------------------>
<!--PROJECT ABOUT SECTION-->
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<section id="about">
<div class="special-container">
<div class="py-5"></div>
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<div class="col-md-6">
<h1>What is CIRCLES?</h1>
<p class="lead text-california-gold">
Traffic jams and pollution? We help both with AI.
</p>
<p>
The <b>Congestion Impacts Reduction via CAV-in-the-loop Lagrangian Energy Smoothing (CIRCLES)</b> project aims to reduce instabilities in traffic flow, called "<a href="https://ed.ted.com/lessons/what-is-phantom-traffic-and-why-is-it-ruining-your-life-benjamin-seibold" target="_blank">phantom jams</a>," that cause congestion and wasted energy. If you have ever encountered a temporary traffic jam for no apparent reason, this might have been a phantom jam that occurred naturally because of human driving behavior.
</p>
<p>
<a href="https://phantomjams.github.io" target="_blank">Prior work on closed-course testing</a> demonstrated that phantom jams can be reduced using autonomous vehicle technologies and specially-designed algorithms. The CIRCLES project seeks to extend this technology to real-world traffic, where reducing these negative traffic effects could provide ≥10% energy savings.
</p>
</div>
<div class="col-md-6 d-flex align-items-center justify-content-center">
<figure class="figure">
<img src="images/vanderbilt/all-trajectories.gif" class="figure-img img-fluid rounded">
<figcaption class="figure-caption">Preliminary vehicle and traffic flow detection in the I-24 Mobility Technology Interstate Observation Network (MOTION).</figcaption>
</figure>
</div>
</div>
<div class="py-md-5"></div>
<div class="row">
<div class="col-md-6 d-flex align-items-center justify-content-center">
<figure class="figure">
<img src="images/berkeley/flow.gif" class="figure-img img-fluid rounded">
<figcaption class="figure-caption">
CIRCLES uses deep reinforcement learning to produce optimal traffic simulations.
In this simulation, the autonomous vehicle learned to create a snake for optimal traffic flow.
</figcaption>
</figure>
</div>
<div class="col-md-6">
<h1>Research Plan</h1>
<p class="lead text-california-gold">
Demonstrate traffic flow and energy savings in the real world.
</p>
<p>
The ambitious goals of the CIRCLES project will be achieved through a combination of computational development, vehicle technology deployment, and highway infrastructure construction. Novel research is being conducted in all of these areas by an interdisciplinary team across the United States.
</p>
<p>
Specific major research tasks include: <br>
(1) Develop high-fidelity simulation tools that exhibit realistic traffic instabilities. <br>
(2) Discover new techniques in multi-agent reinforcement learning. <br>
(3) Develop control algorithms to transfer reinforcement learning policies to connected and autonomous vehicles. <br>
(4) Develop, calibrate, and validate energy models for vehicles. <br>
(5) Combine vehicle sensing, control, and communication technologies for traffic flow experiments. <br>
(6) Build highway sensing infrastructure to measure traffic flow impacts by observing the position of every vehicle on the road. <br>
</p>
</div>
</div>
<div class="py-md-5"></div>
<h1>Our Team</h1>
<p class="lead text-california-gold">
The CIRCLES Consortium consists of 5 lead researchers and 35 scholars coming from diverse academic backgrounds.
</p>
<div class="row">
<div class="col-md-5">
<p>
CIRCLES is led by UC Berkeley and the Institute of Transportation Studies (ITS) Berkeley, in coordination with Vanderbilt University, Temple University, Rutgers University-Camden, the Tennessee Department of Transportation, Toyota North America, and Nissan North America.
The project is backed primarily by DOE and NSF funding. It will also provide the opportunity for engagement with major automotive partners and federal agencies (e.g., DOE, DOT).
</p>
<p>
<b>Alexandre Bayen</b>, ITS Director and Liao-Cho Professor,
Department of Electrical Engineering & Computer Science, UC Berkeley
</p>
<p>
<b>Maria Laura Delle Monache</b>, Assistant Professor,
Department of Civil & Environmental Engineering, UC Berkeley
</p>
<p>
<b>Jonathan Lee</b>, Senior Engineering Manager & Project Coordinator,
Department of Electrical Engineering & Computer Science, UC Berkeley
</p>
<p>
<b>Benedetto Piccoli</b>, Vice Chancellor for Research and Joseph and Loretta Lopez Chair Professor,
Department of Mathematical Sciences, Rutgers University-Camden
</p>
<p>
<b>Benjamin Seibold</b>, Professor,
Department of Mathematics, Temple University
</p>
<p>
<b>Jonathan Sprinkle</b>, Professor,
Department of Computer Science, Vanderbilt University
</p>
<p>
<b>Daniel Work</b>, Professor,
Department of Civil and Environmental Engineering, Vanderbilt University
</p>
<a class="btn btn-warning mb-3" href="about.html">View the entire team</a>
</div>
<div class="col-md-7">
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<img class="d-block w-100" src="images/project/L1060461.jpg" alt="First slide">
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</section>
<!------------------------------------------------------>
<!--PRODUCTS SECTION-->
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<section id="products" class="bg-light">
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<h1 class="text-center">
Products
<hr class="title-hr"/>
</h1>
<div class="py-3"></div>
<div class="card-deck">
<div class="card">
<img class="card-img-top" src="images/project/flow2-alt.jpg">
<div class="card-body">
<h5 class="card-title">FLOW</h5>
<p class="card-text text-secondary">
A deep reinforcement learning framework for mixed autonomy traffic.
</p>
</div>
<div class="card-footer">
<a class="card-link float-right" href="https://flow-project.github.io/" target="_blank">Learn More</a>
</div>
</div>
<div class="card">
<img src="images/project/strym_big.png" class="card-img-top">
<div class="card-body">
<h5 class="card-title">Strym</h5>
<p class="card-text text-secondary">
A Python package for real-time logging, analysis and visualization of vehicle data from CAN bus. Developed by Vanderbilt postdoc Rahul Bhadani.
</p>
</div>
<div class="card-footer">
<a class="card-link float-right" href="https://jmscslgroup.github.io/strym/" target="_blank">Learn More</a>
</div>
</div>
<div class="card">
<img src="images/vanderbilt/i24motion.png" class="card-img-top">
<div class="card-body">
<h5 class="card-title">I-24 MOTION</h5>
<p class="card-text text-secondary">
Interstate camera tracking for high-resolution vehicle trajectory data collection.
</p>
</div>
<div class="card-footer">
<a class="card-link float-right" href="https://www.i24motion.org/" target="_blank">Learn More</a>
</div>
</div>
<div class="card">
<img src="images/project/libpanda-grey.png" class="card-img-top">
<div class="card-body">
<h5 class="card-title">Libpanda</h5>
<p class="card-text text-secondary">
A software library and utilities for interfacing with vehicle hardware systems.
</p>
</div>
<div class="card-footer">
<a class="card-link float-right" href="https://jmscslgroup.github.io/libpanda/" target="_blank">Learn More</a>
</div>
</div>
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News
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<iframe src="https://omny.fm/shows/kqed-segmented-audio/could-autonomous-cars-be-the-solution-to-traffic-j/embed?style=Cover" width="100%" height="180" allow="autoplay; clipboard-write" frameborder="0" title="Could Autonomous Cars Be the Solution to Traffic Jams?"></iframe>
</div>
</div>
<div class="py-3"></div>
<div class="card-deck">
<div class="card">
<img class="card-img-top" src="https://stories.camden.rutgers.edu/road-scholars/assets/t4GKLSd4RB/benedetto-2560x1440-2342x1317.webp" alt="Card image cap">
<div class="card-body">
<h5 class="card-title">Rutgers-Camden Stories</h5>
<p class="card-text text-secondary">Road Scholars: Rutgers–Camden Partners on World’s Largest Traffic Experiment to Test AI-Equipped Vehicles</p>
</div>
<div class="card-footer">
<small class="text-muted">March, 2023</small>
<a class="card-link float-right" href="https://stories.camden.rutgers.edu/road-scholars/index.html" target="_blank">Read More</a>
</div>
</div>
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<div class="card-body">
<h5 class="card-title">Nashville Tennesseean</h5>
<p class="card-text text-secondary">Researchers say AI eased congestion on I-24</p>
</div>
<div class="card-footer">
<small class="text-muted">November 26, 2022</small>
<a class="card-link float-right" href="https://nashvilletennessean-tn.newsmemory.com/?publink=2b649d214_13486ea" target="_blank">Read More</a>
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<h5 class="card-title">TechXplore</h5>
<p class="card-text text-secondary">Massive traffic experiment pits machine learning against 'phantom' jams</p>
</div>
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<small class="text-muted">November 24, 2022</small>
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<p class="card-text text-secondary">AI-powered cruise control system may pave the way to fuel efficiency and traffic relief</p>
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<small class="text-muted">November 23, 2022</small>
<a class="card-link float-right" href="https://www.prnewswire.com/news-releases/ai-powered-cruise-control-system-may-pave-the-way-to-fuel-efficiency-and-traffic-relief-301686455.html" target="_blank">Read More</a>
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<h5 class="card-title">Vanderbilt News</h5>
<p class="card-text text-secondary">AI-powered cruise control system may pave the way to fuel efficiency and traffic relief</p>
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<small class="text-muted">November 23, 2022</small>
<a class="card-link float-right" href="https://news.vanderbilt.edu/2022/11/23/ai-powered-cruise-control-system-may-pave-the-way-to-fuel-efficiency-and-traffic-relief/" target="_blank">Read More</a>
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<p class="card-text text-secondary">Adaptive cruise control technology could ease phantom traffic jams, Vanderbilt study finds</p>
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<small class="text-muted">November 23, 2022</small>
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<p class="card-text text-secondary">An AI that lets cars communicate might reduce traffic jams</p>
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<small class="text-muted">November 23, 2022</small>
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<h5 class="card-title">Fortune</h5>
<p class="card-text text-secondary">You’re a worse driver than a robot: Research shows gaper blocks and looky-loos aren’t an issue with AI</p>
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<small class="text-muted">November 23, 2022</small>
<a class="card-link float-right" href="https://fortune.com/2022/11/23/traffic-jams-artificial-intelligence-robot-drivers-vanderbilt-university-experiment-research/" target="_blank">Read More</a>
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<h5 class="card-title">The Associated Press</h5>
<p class="card-text text-secondary">Researchers: AI in connected cars eased rush hour congestion</p>
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<small class="text-muted">November 23, 2022</small>
<a class="card-link float-right" href="https://apnews.com/article/technology-nashville-pollution-traffic-4962e01d3226685012f1919077be29d1" target="_blank">Read More</a>
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<h5 class="card-title">Berkeley News</h5>
<p class="card-text text-secondary">Massive traffic experiment pits machine learning against ‘phantom’ jams</p>
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<small class="text-muted">November 22, 2022</small>
<a class="card-link float-right" href="https://news.berkeley.edu/2022/11/22/massive-traffic-experiment-pits-machine-learning-against-phantom-jams/" target="_blank">Read More</a>
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<h5 class="card-title">KTVU Channel 2 News Bay Area</h5>
<p class="card-text text-secondary">UC Berkeley researchers test-drive new AI cars</p>
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<small class="text-muted">November 22, 2022</small>
<a class="card-link float-right" href="https://www.ktvu.com/news/uc-berkeley-researchers-test-drive-new-ai-cars" target="_blank">Read More</a>
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<h5 class="card-title">Main Street Nashville</h5>
<p class="card-text text-secondary">Traffic research project turns I-24 into driving lab</p>
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<small class="text-muted">November 21, 2022</small>
<a class="card-link float-right" href="https://www.mainstreet-nashville.com/news/traffic-research-project-turns-i-24-into-driving-lab/article_d0dcb28e-69d6-11ed-8522-a35054bf2a4d.html" target="_blank">Read More</a>
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<h5 class="card-title">Rutgers-Camden Stories</h5>
<p class="card-text text-secondary">Driving Innovation: Rutgers–Camden Partners on World's Largest
Open-Track Experiment to Test AI-Equipped Vehicles</p>
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<small class="text-muted">November 18, 2022</small>
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<p class="card-text text-secondary">UC Berkeley researchers behind the world’s largest open-track traffic experiment</p>
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<small class="text-muted">November 18, 2022</small>
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<h5 class="card-title">ABC 7 News Bay Area</h5>
<p class="card-text text-secondary">Bay Area researchers behind world's largest open-track traffic experiment</p>
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<small class="text-muted">November 18, 2022</small>
<a class="card-link float-right" href="https://abc7news.com/uc-berkeley-open-track-experiment-alleviating-traffic-jams-circles-consortium-car-automation-software/12469669/" target="_blank">Read More</a>
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<h5 class="card-title">WSMV News Channel 4 Nashville</h5>
<p class="card-text text-secondary">I-24 traffic experiment using technology to solve traffic jams</p>
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<small class="text-muted">November 17, 2022</small>
<a class="card-link float-right" href="https://www.wsmv.com/2022/11/18/i-24-traffic-experiment-using-technology-solve-traffic-jams/" target="_blank">Read More</a>
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<h5 class="card-title">WABI News Channel 5 Maine</h5>
<p class="card-text text-secondary">I-24 traffic experiment using technology to solve traffic jams</p>
</div>
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<small class="text-muted">November 17, 2022</small>
<a class="card-link float-right" href="https://www.wabi.tv/video/2022/11/18/i-traffic-experiment-using-technology-solve-traffic-jams/" target="_blank">Watch</a>
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<h5 class="card-title">Fox 17 WZTV Nashville</h5>
<p class="card-text text-secondary">World's largest traffic experiment being conducted in Nashville along I-24</p>
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<small class="text-muted">November 17, 2022</small>
<a class="card-link float-right" href="https://fox17.com/news/local/worlds-largest-traffic-experiment-being-conducted-in-nashville-along-interstate-24-tennessee-tdot-vanderbilt-university-nissan-north-america-traffic-jam-dept-of-transportation" target="_blank">Read More</a>
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<h5 class="card-title">WTVF News Channel 5 Nashville</h5>
<p class="card-text text-secondary">'An MRI for traffic:' Open road testing now live on I-24</p>
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<small class="text-muted">November 17, 2022</small>
<a class="card-link float-right" href="https://www.newschannel5.com/news/an-mri-for-traffic-open-road-testing-to-better-help-congestion-now-live-on-i-24" target="_blank">Read More</a>
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<h5 class="card-title">WKRN News Channel 2 Nashville</h5>
<p class="card-text text-secondary">Traffic experiment to launch on I-24 in Nashville</p>
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<small class="text-muted">November 14, 2022</small>
<a class="card-link float-right" href="https://www.wkrn.com/news/local-news/nashville/traffic-experiment-to-launch-on-i-24-in-nashville/" target="_blank">Read More</a>
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<h5 class="card-title">Motor</h5>
<p class="card-text text-secondary">World's largest open-track traffic experiment being conducted in Nashville Nov. 14-18</p>
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<small class="text-muted">November 11, 2022</small>
<a class="card-link float-right" href="https://www.motor.com/2022/11/worlds-largest-open-track-traffic-experiment-being-conducted-in-nashville-nov-14-18/?utm_source=rss&utm_medium=rss&utm_campaign=worlds-largest-open-track-traffic-experiment-being-conducted-in-nashville-nov-14-18" target="_blank">Read More</a>
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<h5 class="card-title">Tullahoma News</h5>
<p class="card-text text-secondary">World's largest open-track traffic experiment being conducted in Nashville Nov. 14--18</p>
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<small class="text-muted">November 10, 2022</small>
<a class="card-link float-right" href="https://www.tullahomanews.com/news/business/worlds-largest-open-track-traffic-experiment-being-conducted-in-nashville-nov-14--18/article_01cd90be-c10b-5493-9b51-3a363db16de0.html" target="_blank">Read More</a>
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<h5 class="card-title">PR Newswire</h5>
<p class="card-text text-secondary">World's largest open-track traffic experiment being conducted in Nashville Nov. 14--18</p>
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<div class="card-footer">
<small class="text-muted">November 10, 2022</small>
<a class="card-link float-right" href="https://www.prnewswire.com/news-releases/worlds-largest-open-track-traffic-experiment-being-conducted-in-nashville-nov-1418-301674827.html" target="_blank">Read More</a>
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<h5 class="card-title">TED Ed</h5>
<p class="card-text text-secondary">Professor Seibold educates on phantom traffic jams</p>
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<small class="text-muted">May 28, 2020</small>
<a class="card-link float-right" href="https://ed.ted.com/lessons/what-is-phantom-traffic-and-why-is-it-ruining-your-life-benjamin-seibold" target="_blank">Watch</a>
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<h5 class="card-title">American Association for the Advancement of Science</h5>
<p class="card-text text-secondary">UA Engineers Collaborate on $3.5M DOE Traffic-Flow Project</p>
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<small class="text-muted">March 12, 2020</small>
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<h5 class="card-title">Built In</h5>
<p class="card-text text-secondary">Machine Learning to Ease Traffic and Pollution Woes</p>
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<small class="text-muted">January 8, 2020</small>
<a class="card-link float-right" href="https://builtin.com/artificial-intelligence-machine-learning/machine-learning-ease-traffic-and-pollution-woes" target="_blank">Read More</a>
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<h5 class="card-title">Berkeley Institute of Transporation Studies</h5>
<p class="card-text text-secondary">CIRCLES Project Kicks Off Multi-Campus Traffic Smoothing Study</p>
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<small class="text-muted">March 11, 2020</small>
<a class="card-link float-right" href="https://its.berkeley.edu/news/circles-project-kicks-multi-campus-traffic-smoothing-study" target="_blank">Read More</a>
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<h5 class="card-title">CST @ Temple University</h5>
<p class="card-text text-secondary">
Temple Mathematician Part of $3.5M Project to Improve Traffic Flow and Fuel Savings
</p>
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<div class="card-footer">
<small class="text-muted">March 11, 2020</small>
<a class="card-link float-right" href="https://cst.temple.edu/news/2020/03/temple-mathematician-part-35m-project-improve-traffic-flow-and-fuel-savings" target="_blank">Read More</a>
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<h5 class="card-title">Berkeley Lab</h5>
<p class="card-text text-secondary">Machine Learning to Help Optimize Traffic and Reduce Pollution</p>
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<small class="text-muted">October 28, 2018</small>
<a class="card-link float-right" href="https://newscenter.lbl.gov/2018/10/28/machine-learning-to-help-optimize-traffic-and-reduce-pollution/" target="_blank">Read More</a>
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<span class="text-muted">This material is based upon work supported by the National Science Foundation under Grants CNS-1837244 (A. Bayen), CNS-1837652 (D. Work), CNS-1837481 (B. Piccoli), CNS-1837210 (G. Pappas), CNS-1446715 (B. Piccoli), CNS-1446690 (B. Seibold), CNS-1446435 (J. Sprinkle, R. Lysecky), CNS-1446702 (D. Work), CNS-2135579 (D. Work, A. Bayen, J. Sprinkle, J. Lee). This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Vehicle Technologies Office award number CID DE-EE0008872. The views expressed herein do not necessarily represent the views of the U.S. Department of Energy or the United States Government.</span>
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