Digital twins offer powerful tools for improving urban mobility and safety through real-time, data-driven insights. After a brief history of their use in transportation, they will explore how AI-enabled digital twins can transform traffic management, especially during accidents and disruptions. New systems including “A-Eye-Urban” and Traffic-Responsive Tile Camera Surveillance System for Everything (TTCX) will be introduced along with Digital-Twin Based Driver Risk-Aware Intelligent Mobility Analytics System (DT-DIMA). This integrates real-time data with predictive models to connect mobility and safety through adaptive control.
Presenting their most recent work, Nano-DT, a high-fidelity 3D digital replica of the Downtown Brooklyn transportation network simulated using CARLA and SUMO simulation platforms, is a platform designed to assist traffic emergency responders. This seminar is concluded by discussing how such platforms can reshape future traffic management in smart cities.
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