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 | 17 | 2018 |
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 | 15 | 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 | 12 | 2021 |
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 | 12 | 2019 |
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 | 10 | 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, 2021 | 6 | 2021 |
Inferring urban mobility and habits from user location history G Cantelmo, P Vitello, B Toader, F Viti Transportation Research Procedia 47, 283-290, 2020 | 5 | 2020 |
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 | 4 | 2022 |
Exploring the potential of Google Popular Times for transit demand estimation P Vitello, C Fiandrino, R Connors, F Viti | 2 | 2023 |
CROWDSOURCED DATA FOR MOBILITY ANALYSIS P Vitello University of Luxembourg, Luxembourg, 2023 | | 2023 |
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data P Vitello, C Fiandrino, RD Connors, F Viti | | 2023 |
About the lab F Viti, R Connors, J Pineda-Jaramillo, P Vitello, G Giorgione, F Sprumont, ... Transportation Research, 2023 | | 2023 |
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 Transportation Research Board 101st Annual Meeting, 2022 | | 2022 |
Estimating Public Transport Demand Information Using Crowdsourced Data P Vitello, R Connors, F Viti | | 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 | | 2021 |
Leverage crowdsourced datasets for travel demand analysis P Vitello | | 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 |