viewlive.html

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title: "view.live: real time intelligence"
description: "view.live is a real-time platform that combines many data sources into an anonymous, live picture of how people and vehicles move through city streets, to improve mobility and safety."
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<header class="major">
	<h1>view.live</h1>
	<p>Real time intelligence.</p>
</header>

<p><a href="https://view.live"><strong>view.live</strong></a> is a real-time mobility and safety platform. It combines information from many data sources into a single, live picture of how people and vehicles move through city streets, and it does this anonymously, without identifying anyone.</p>

<ul class="actions">
	<li><a href="https://view.live" class="button">Visit view.live</a></li>
	<li><a href="https://view.live/contact" class="button">Contact us</a></li>
</ul>

<video autoplay muted loop playsinline preload="metadata" poster="/images/viewlive/viewlive-broadway.jpg" style="width: 100%; height: auto;" aria-label="Drone video of Lower Broadway in Nashville, overlaid with anonymous vehicle and pedestrian detections from pole-mounted roadside sensors">
	<source src="/images/viewlive/viewlive-broadway.mp4" type="video/mp4">
</video>
<p><em>Video captured by drone over Lower Broadway, Nashville. All object detections are made by pole-mounted lidar or similar roadside infrastructure, not by the drone.</em></p>

<h2>What view.live does</h2>
<ul>
	<li><strong>Combines many data sources.</strong> Roadside sensors, traffic signals, incidents, events, weather, and other city feeds come together in one view of the street network.</li>
	<li><strong>Anonymous by design.</strong> view.live works with object positions, types, and movement, not identities. No faces, no license plates.</li>
	<li><strong>Built for mobility and safety.</strong> Live and historical views help partners understand congestion, near-misses, and how streets are really used, and help them act on it.</li>
</ul>
<!-- EDIT: adjust the list of data sources to what view.live actually ingests today. -->

<h2>Inspired by LADDMS</h2>
<p>view.live was inspired by our work on <a href="https://ndot-laddms.org">LADDMS (Leveraging Advanced Data to Deliver Multimodal Safety)</a>, a project led by the Nashville Department of Transportation and Multimodal Infrastructure (NDOT) in collaboration with Tennessee State University, the University of Tennessee at Chattanooga, and Vanderbilt University. LADDMS uses privacy-preserving roadside sensing to find and fix safety problems for the most vulnerable road users, pedestrians and cyclists, that traditional crash reports can miss.</p>

<h2>Research and open data</h2>
<p>The science behind view.live is published and reproducible:</p>
<ul>
	<li>William Barbour, Matthew Bunting, Derek Gloudemans, Daniel B. Work, and Jonathan Sprinkle, "Persistent Monitoring and Analysis at a Corridor Scale with Lidar," <em>2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)</em>, 2025. <a href="https://ieeexplore.ieee.org/document/11423698">Paper</a> · <a href="https://doi.org/10.1109/ITSC60802.2025.11423698">DOI</a> · <a href="https://github.com/Lab-Work/LADDMS_data_distribution">Data and code</a>
		<br>This paper covers 120 uninterrupted days of anonymous monitoring across eight intersections along a two-mile Nashville corridor, with analyses of conflict hot spots between road users, daily turning counts, and pedestrians crossing outside the crosswalk.</li>
	<li><a href="https://github.com/Lab-Work/LADDMS_tutorials">LADDMS data tutorials</a>: a sample trajectory dataset and a hands-on analysis notebook.</li>
</ul>

<h2>Access</h2>
<p>The live platform is available to agency and research partners through the <a href="https://view.live/login">view.live partner portal</a>. If you'd like to work with us or use the data, <a href="https://view.live/contact">get in touch</a>.</p>
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