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Real-time Intersection Optimization for Signal Phasing, Timing, and Automated Vehicles' Trajectories
This study aims to develop a real-time intersection optimization (RIO) control algorithm to efficiently serve traffic of Connected and Automated Vehicles (CAVs) and conventional vehicles (CNVs).
Machine Learning Methods for Data Association in Multi-Object Tracking
Data association is a key step within the multi-object tracking pipeline that is notoriously challenging due to its combinatorial nature.
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