This project seeks to develop a system to accurately identify car-following (CF) and lane-changing (LC) behaviors using trajectory data from the pNEUMA dataset, an urban trajectory dataset collected from drones. Previous methods relied on fixed thresholding or manual labeling to separate the phases of a vehicle’s trajectory (CF or LC), which can be time-consuming and […]
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