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.
Crime, inequality and public health: A survey of emerging trends in urban data science.Frontiers in big Data, 6:1124526
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.soc-ph 1years
2026 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
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.