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  3. Predicting Crowd Behavior for Public Safety

Predicting Crowd Behavior for Public Safety

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    <video width="500" height="281" poster="https://www.dhs.gov/xlibrary/videos/CCICADA_NYNJPortAuthorityBusTerminal_Thumbnail2.jpg" preload="metadata" data-able-player="data-able-player" playsinline="playsinline" controls="controls" > <source type="video/mp4" original content_type="video/mp4" url="https://www.dhs.gov/xlibrary/videos/CCICADA_NYNJPortAuthorityBusTerminal_20160210_YouTube.mp4" size="351939284" src="https://www.dhs.gov/xlibrary/videos/CCICADA_NYNJPortAuthorityBusTerminal_20160210_YouTube.mp4" /> <track type="text/vtt" kind="captions" src="https://www.dhs.gov/medialibrary-assets/assets/videos/captions/ccicada_nynjportauthoritybusterminal_20160210.vtt" srclang="en" label="English" /> </video> <p style="font:sans-serif; font-size:11px; font-style: italic;"><a href="/medialibrary/assets/videos/22864">View in Media Library</a> </p>
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The Port Authority of New York and New Jersey (PANYNJ) is tapping a high-tech approach developed by the DHS S&T Center for Visualization and Data Analytics (CVADA) at Rutgers to enable safer crowd movement during emergencies and other events. The CVADA-Rutgers research team uses a combination of mathematical modeling and LiDAR (light and radar) to determine the best way to manage rush-hour crowds and bus schedules—including emergency evacuations— before, during, and after PANYNJ’s major reconstruction and rehabilitation construction projects.  (DHS Video by Science & Technology Directorate/Released)

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