Digital Twin Empowered Model Free Prediction of Accident-Induced Congestion in Urban Road Networks

Sustainable Intelligent Transportation Systems via Digital Twins: A Contextualized Survey

“…A drone sensing scheme with machine vision methods used to extract traffic flow micro-data including driving trajectories and vehicle speeds. [91] 2022…”

“…The model is also built based on drone information and computer vision methods to extract microdata of traffic flow, including driving trajectories and vehicle speeds. Moreover, Ji et al [91] designed the DT of a road network to observe the traffic operation from a macro perspective. The information obtained was used for the spatiotemporal prediction of congestion induced by accidents, acting to mitigate the adverse effects while responding to traffic accidents promptly.…”