K-means clustering on 1219 Argoverse 2 deceleration events identifies four stable modes with bootstrap ARI 0.897, and an early HistGradientBoosting classifier reaches macro-F1 0.758 with modest scene-context gains.
Effect of Situation Kinematics on Drivers’ Rear -End Collision Avoidance Behaviour-A Combined Effect of Visual Looming, Speed, and Distance Analysis
2 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
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Gap-closing rate and visual looming swap dominance as discriminants of deceleration modes by intensity in NGSIM data, while spacing headway is negligible.
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Urban Deceleration Behavior Modes Under Scene Context: An Early-Kinematic Classifier from Argoverse 2 Multi-Agent Trajectories
K-means clustering on 1219 Argoverse 2 deceleration events identifies four stable modes with bootstrap ARI 0.897, and an early HistGradientBoosting classifier reaches macro-F1 0.758 with modest scene-context gains.
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Kinematic Discriminants of Deceleration Behavior Modes in Car-Following: Evidence from NGSIM Trajectory Data
Gap-closing rate and visual looming swap dominance as discriminants of deceleration modes by intensity in NGSIM data, while spacing headway is negligible.