Comprehensive Multi-Task Deep Learning Digital Twin for Accurate Estimation of Intersection Traffic Flow Dynamics

A multi-task deep learning digital twin that can accurately estimate lane-wise exit and inflow waveforms, maximum queue lengths, and travel time distributions for signalized intersections with varying topologies and traffic conditions.