The authors release a city-scale traffic dataset for Padua that integrates AVI flow time series, transition matrices, travel times, and contextual layers through a Python spatio-temporal graph loader.
Estimating dynamic origin–destination demand: A hybrid framework using license plate recognition data.Computer-Aided Civil and Infrastructure Engineering, 35(7):734–752
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A City-Scale Dataset of Traffic Flows, Travel Times, and Urban Context
The authors release a city-scale traffic dataset for Padua that integrates AVI flow time series, transition matrices, travel times, and contextual layers through a Python spatio-temporal graph loader.