High-precision design of pedestrian mobility for smart city simulators P Vitello, A Capponi, C Fiandrino, P Giaccone, D Kliazovich, P Bouvry 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 23 | 2018 |
Crowdsensed data learning-driven prediction of local businesses attractiveness in smart cities A Capponi, P Vitello, C Fiandrino, G Cantelmo, D Kliazovich, U Sorger, ... 2019 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2019 | 21 | 2019 |
Collaborative data delivery for smart city-oriented mobile crowdsensing systems P Vitello, A Capponi, C Fiandrino, P Giaccone, D Kliazovich, U Sorger, ... 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 20 | 2018 |
Mobility-driven and energy-efficient deployment of edge data centers in urban environments P Vitello, A Capponi, C Fiandrino, G Cantelmo, D Kliazovich IEEE Transactions on Sustainable Computing 7 (4), 736-748, 2021 | 14 | 2021 |
The impact of human mobility on edge data center deployment in urban environments P Vitello, A Capponi, C Fiandrino, G Cantelmo, D Kliazovich 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 13 | 2019 |
The impact of SARS-COVID-19 outbreak on European cities urban mobility P Vitello, C Fiandrino, A Capponi, P Klopp, RD Connors, F Viti Frontiers in Future Transportation 2, 666212, 2021 | 9 | 2021 |
A mobility-based deployment strategy for edge data centers M Girolami, P Vitello, A Capponi, C Fiandrino, L Foschini, P Bellavista Journal of Parallel and Distributed Computing 164, 133-141, 2022 | 8 | 2022 |
Inferring urban mobility and habits from user location history G Cantelmo, P Vitello, B Toader, F Viti Transportation Research Procedia 47, 283-290, 2020 | 6 | 2020 |
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data P Vitello, C Fiandrino, RD Connors, F Viti Data Science for Transportation 6 (2), 6, 2024 | 3 | 2024 |
Exploring the potential of Google Popular Times for transit demand estimation P Vitello, C Fiandrino, R Connors, F Viti Transportation Research Board (TRB) 102nd Annual Meeting, 2023 | 3 | 2023 |
CROWDSOURCED DATA FOR MOBILITY ANALYSIS P Vitello Unilu-University of Luxembourg, Luxembourg, 2023 | 1 | 2023 |
Leveraging Crowdsourced Activity Information for Transit Stations Flow Estimation P Vitello, RD Connors, F Viti IEEE Access, 2024 | | 2024 |
A Classification Approach Using Machine Learning for Predicting Traffic Flows in Areas with Missing Sensors M Fazio, P Vitello, JD Pineda Jaramillo, R Connors, F Viti TRB 2022, 2022 | | 2022 |
Estimating Public Transport Demand Information Using Crowdsourced Data P Vitello, R Connors, F Viti 10th symposium of the European Association for Research in Transportation …, 2022 | | 2022 |
Mobility-Aware Solutions for Edge Data Center Deployment in Urban Environments P Vitello, A Capponi, C Fiandrino, G Cantelmo Data Science and Big Data Analytics in Smart Environments, 1-26, 2021 | | 2021 |
Causal Analysis of SARS-COVID-19 Outbreak on European Cities Urban Mobility P Vitello, R Connors, F Viti BIVEC Transport Research Days, 2021 | | 2021 |
Leverage crowdsourced datasets for travel demand analysis P Vitello DTU DRIVEN Colloquium, 2021 | | 2021 |
The CORONA business in modern cities P Vitello, A Capponi, P Klopp, RD Connors, F Viti, C Fiandrino Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 786-787, 2020 | | 2020 |
Modeling Mobility, Task Allocation and Data Collection for Mobile CrowdSensing Simulators P Vitello Politecnico di Torino, 2018 | | 2018 |
Modeling Mobility, Task Allocation and Data Collection for Mobile Crowdsensing Simulators P Giaccone, P Vitello | | 2018 |