FlowSense: High-resolution empirical traffic flow data for research and decision making

Preprint, 2025

Empirical data on traffic flows of vehicles and pedestrians is instrumental for transport research and to support decision making in diverse domains, including transport planning, traffic safety, urban logistics, public and urban mobility. However, these data are simply non-existent or do not provide the necessary spatial-temporal coverage or resolution.
The aim of this project is to produce empirical data of vehicle and pedestrian flows with high spatial and temporal resolution and extensive coverage, using reproducible methods, based on mobile phone geolocation data.