Spatio-temporal analysis of pedestrian activity in Loughborough using WiFi data

This study aims to explore the spatio-temporal pedestrian dynamics in Loughborough town centre using WiFi data and machine learning. A Decision Tree algorithm was employed to predict pedestrian count, which were spatially interpolated to create detailed movement maps for 2024. The analysis identifie...

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Bibliographic Details
Main Authors: Mohamed Shamroukh, Asya Natapov, Taimaz Larimian
Format: Default Conference proceeding
Published: 2025
Subjects:
Sensors
Wifi scanners
Pedestrian prediction
Pedestrian activity
Urban dynamics
Online Access:https://hdl.handle.net/2134/30598202.v1
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