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S. Kothuri

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#machine learning Preprint Sep 2026

Estimating Pedestrian Volumes from GIS-Derived Built-Environment Features: A Machine Learning Framework

Transportation agencies need pedestrian volume estimates across entire road networks to prioritize safety investments, yet manual counts are expensive and cover only a small share of intersections. We present a machine learning pipeline that predicts 2-hour PM peak pedestrian volume at 101 urban intersections in Portla...

Bahareh Golchin, Banafsheh Rekabdar, S. Kothuri et al. · 0 citations

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