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.
Growth, innovation, scaling, and the pace of life in cities.Proceedings of the national academy of sciences, 104(17):7301–7306
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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.