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UCF Smart & Safe Transportation Lab

Orlando, United States (US) · Manufacturing and Industry

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UCF Smart & Safe Transportation Lab is a leading research laboratory based in Orlando, Florida, dedicated to advancing transportation safety and smart city initiatives.We specialize in applying digital twinning and computer vision to analyze complex traffic scenarios and proactively identify potential risks.

Overview

UCF Smart & Safe Transportation Lab is a leading research laboratory based in Orlando, Florida, dedicated to advancing transportation safety and smart city initiatives.

We specialize in applying digital twinning and computer vision to analyze complex traffic scenarios and proactively identify potential risks. Our team, comprised of approximately 25 researchers from diverse backgrounds, leverages data-driven insights and simulation technologies to develop innovative solutions for transportation operators, government entities, and the public.

Founded by Prof. Mohamed Abdel-Aty in 2018, building on over 25 years of research, the lab has consistently been recognized for its excellence, including a Clarivate Highly Cited Researcher designation and ranking among the top transportation engineering programs globally. We are committed to creating safer roads and smarter cities through cutting-edge research and development.
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Contact Details

info@smartsafe.ucf.edu

Orlando, United States (US), 12760 Pegasus Dr

Company Type

Educational Institution

Employees

10-20

Categories

Engineering
Civil Engineering

Awards

• 2026 OpenSee all

Products

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Automated Roadway Conflicts Identification System
Civil Engineering

This system utilizes computer vision and machine learning to automatically detect and classify potential roadway conflicts, providing real-time alerts for proactive safety management.

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Services

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Digital Twinning and CitySim
Civil Engineering

Our Digital Twinning and CitySim platform allows for the creation of realistic digital replicas of urban environments, enabling comprehensive analysis of traffic scenarios and the testing of safety interventions.

N/A

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