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@UCF-SST-Lab

UCF Smart Safe Transportation Lab

UCF Smart & Safe Transportation Lab (SST Lab)

The lab researches transportation safety, mobility, travel behavior and applies digital twinning to analyze different traffic scenarios. It has expertise in computer vision and is home to advanced driving simulators. Although the lab was founded by Prof. Mohamed Abdel–Aty in 2018, the research and development work started more than 25 years ago. At any given moment, the lab hosts, on average, a team of about 25 researchers from different parts of the world with diverse expertise.

Our core expertise:

  • Data-Driven – Real-time safety analysis and big data analytics

  • Digital Twinning and CitySim

  • Big data and simulation

  • Human factors and travel behavior

Real Time Crash Visualization Tool

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CitySim: Our Open Dataset of Drone Trajectories

CitySim currently has vehicle trajectories extracted from 1140-minutes of drone videos@30 FPS recorded at 12 different locations and we are adding more location. It covers a variety of road geometries including freeway basic segments, weaving segments, expressway merge/diverge segments, signalized intersections, stop-controlled intersections, and intersections without sign/signal control. Visit our repository and get access to the data.

Pinned

  1. UCF-SST-CitySim1-Dataset UCF-SST-CitySim1-Dataset Public

    Official github page of UCF SST CitySim Dataset

    Python 339 56

  2. CPED CPED Public

    CPED system was developed in 2022. The application helps FDOT reduce the duration and impacts of incidents and improve the safety of motorists, crash victims, and incident responders.

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