activity
20182024
most citedGenerating Synthetic Mobility Networks with Generative Adversarial Networks

42 citations · 46 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CY2024★ 1 cited

Mixing Individual and Collective Behaviours to Predict Out-of-Routine Mobility

Sebastiano Bontorin, Simone Centellegher, Riccardo Gallotti +3

Predicting human displacements is crucial for addressing various societal challenges, including urban design, traffic congestion, epidemic management, and migration dynamics. While…

cs.CV2022

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…

cs.AI2022

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…

cs.LG2022★ 42 cited

Generating Synthetic Mobility Networks with Generative Adversarial Networks

Giovanni Mauro, Massimiliano Luca, Antonio Longa +2

The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the inter…

cs.CY2021★ 2 cited

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…

cs.LG2020

A Survey on Deep Learning for Human Mobility

Massimiliano Luca, Gianni Barlacchi, Bruno Lepri +1

The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more. The prolifer…

cs.SI2018★ 1 cited

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…