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I big data per la valorizzazione del turismo montano: esperienze e potenzialità

Bruno Zamengo, Dario Di Sorte, Denis Cappellari, Andrea Zaramella   Abstract BIG DATA FOR ENHANCING MOUNTAIN TOURISM: EXPERIENCES AND POTENTIAL. The widespread adoption of new communication technologies, the pervasiveness of mobile services and usage, along with the near-total signal coverage available to almost the entire population across virtually all territories, made mobile networks a valuable ...
News, Pubblicazioni Scientifiche

Mapping Passenger Trajectories to Train Schedules

Padoan L., Silvestri F., Zamengo B. 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024) Tuesday October 29 – Friday November 1, 2024 Atlanta, GA, USA   An important task in transportation studies is to accurately map a given set of trajectories representing moving individuals onto specific means of transportation, like ...
News, Pubblicazioni Scientifiche

Enhancing mobility and tourism through data analytics and generative AI

Cappellari D., Mantegari G., Zamengo B. Book of short papers of the ASA Rome Conference – Measuring and Interpreting World Changes with Statistics, Data Science and AI, Supplement to Volume 37/2 Roma, 18-20 settembre 2024   Introduction Today, vast amounts of data from mobile operators, floating car data (FCD), traffic loops, public transport ticketing, and GPS apps generate valuable insights for ...
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Evidences from Cellphone Big Data Applications for Urban Mobility Needs: Case Studies in Italy

Nalin A., Lantieri C., Simone A., Vignali V., Cappellari D., Mantegari G., Zaramella A. New Challengers for Sustainable Urban Mobility: Volume II, pp 289-299 Brescia, 18 settembre 2024   Abstract The use of big data has been radically increasing in the last years. In fact, when users’ privacy is guaranteed, big data can provide an effective, even ...
News, Pubblicazioni Scientifiche

Mobility ChatBot: supporting decision making in mobility data with chatbots

Lorenzo Padoan, Margherita Cesetti, Luca Brunello, Marco Antonelli, Bruno Zamengo, Francesco Silvestri GenAI4MoDA@MDM 2024, 1st Workshop on Generative AI for Mobility Data Bruxelles, 24 giugno 2024   Abstract This paper presents an innovative chatbot architecture designed to support decision-making in the context of mobility data, leveraging recent advancements in Large Language Models (LLMs). As transportation systems ...
News, Rassegna stampa

Troppe auto nelle città, sempre più imbottigliati

ANSA | giugno 2024   Post-pandemia, ci si aspettava un calo strutturale degli spostamenti in auto. I dati di Data Mobility 2024 - elaborati da Go-Mobility con Motion Analytica e il supporto di Vodafone Business e Viasat su 500.000 veicoli, 80 milioni di viaggi e 23 milioni di SIM - raccontano una ...
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