A collection of methods (relying on the scikit-mobility and OSMnx Python libraries) to compute emissions starting from vehicles' mobility trajectories. In particular, methods...

Deep Gravity is an effective model to generate flow probabilities that exploits many features (e.g., land use, road network, transport, food, health facilities) extracted from...

We conducted experiments on mobility flows in England, Italy, and New York State to show that Deep Gravity achieves a significant increase in performance, especially in...

Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame...