Taimaz Larimian

Mitigating sensor bias: a location-aware calibration framework for pedestrian analytics

Abstract The promise of data-driven urbanism is critically undermined by the unreliability of passive sensors. Raw WiFi data systematically undercounts pedestrian volumes by approximately 50% across the eight study sites, rendering it fundamentally unsuitable for strategic decisi...