most citedUrban mobility and learning: analyzing the influence of commuting time on students' GPA at Politecnico di Milano

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Reconstructing Movement from Sparse Samples: Enhanced Spatio-Temporal Matching Strategies for Low-Frequency Data

Ali Yousefian, Arianna Burzacchi, Simone Vantini

This paper explores potential improvements to the Spatial-Temporal Matching algorithm for aligning the GPS trajectories to road networks. While this algorithm is effective, it pres…

stat.AP2024

Generating Synthetic Functional Data for Privacy-Preserving GPS Trajectories

Arianna Burzacchi, Lise Bellanger, Klervi Le Gall +2

This research presents FDASynthesis, a novel algorithm designed to generate synthetic GPS trajectory data while preserving privacy. After pre-processing the input GPS data, human m…

stat.AP2024★ 1 cited

Spatio-Temporal Analysis of Public Transportation Undercrowding: Leveraging APC Data for a Comprehensive Evaluation of Usage Rates

Arianna Burzacchi, Valeria Maria Urbano, Marika Arena +3

The analysis of the transportation usage rate provides opportunities for evaluating the efficacy of the transportation service offered by proposing an indicator that integrates act…

stat.AP2024★ 1 cited

Monitoring road infrastructures from satellite images in Greater Maputo

Arianna Burzacchi, Matteo Landrò, Simone Vantini

The information about pavement surface type is rarely available in road network databases of developing countries although it represents a cornerstone of the design of efficient mo…

stat.AP2024★ 4 cited

Urban mobility and learning: analyzing the influence of commuting time on students' GPA at Politecnico di Milano

Arianna Burzacchi, Lidia Rossi, Tommaso Agasisti +2

Despite its crucial role in students' daily lives, commuting time remains an underexplored dimension in higher education research. To address this gap, this study focuses on challe…