The lab does research in the fields of transportation safety, mobility, travel behavior, as well as applies digital twinning to analyze different traffic scenarios. It has an 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 various expertise.
Real-Time Safety Analysis
Digital Twinning And CitySim
UCF-SST has over 20 years of experiences in traffic safety analysis, specifically in real-time crash prediction. The team combines statistical models and deep learning techniques to accurately predict the crash risks at segment level in a short horizon and visualize the crash risks through an on-line interface, which provides insights for decision-makers, traffic practitioners, and active traffic management officers for safety enhancement.
Big Data, Simulation
Human Factors and Travel Behavior
UCF-SST is also devoted to extensive traffic simulation efforts, including microscopic traffic simulation, driving simulators, co-simulation, and digital twins. Our self-developed multi-driver and pedestrian in-the-loop digital twin co-simulation framework is the state-of-the-art work in the research field.
In addition to transportation safety, the SST Lab also studies how people travel, adopt new technologies as well as examines behaviors of the non-motorized road users. The team aims to explore transportation through the lens of the environment, climate change, equity, and health. Such a comprehensive approach allows us to broaden the domain-specific knowledge and gain novel insights.
