2 citations · 2 across the 3 of their papers we have counts for
4 papers
Enhancing crowd flow prediction in various spatial and temporal granularities
Marco Cardia, Massimiliano Luca, Luca Pappalardo
Thanks to the diffusion of the Internet of Things, nowadays it is possible to sense human mobility almost in real time using unconventional methods (e.g., number of bikes in a bike…
Trajectory Test-Train Overlap in Next-Location Prediction Datasets
Massimiliano Luca, Luca Pappalardo, Bruno Lepri +1
Next-location prediction, consisting of forecasting a user's location given their historical trajectories, has important implications in several fields, such as urban planning, geo…
Living in a pandemic: adaptation of individual mobility and social activity in the US
Lorenzo Lucchini, Simone Centellegher, Luca Pappalardo +4
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. In this work, we…
Weak nodes detection in urban transport systems: Planning for resilience in Singapore
Michele Ferretti, Gianni Barlacchi, Luca Pappalardo +2
The availability of massive data-sets describing human mobility offers the possibility to design simulation tools to monitor and improve the resilience of transport systems in resp…