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Predicting the impact of public events and mobility in Smart Cities
Authors lena Bellodi, Riccardo Zese, Carlo Petrovich, Angelo Frascella, Francesco Bertasi  Year 2024
Pubblication type Paper International Journal with referee
Abstract The ubiquitous presence of smartphones and the ever-expanding Internet of Things are generating a treasure trove of data on human movement. We harness the power of Artificial Intelligence to extract knowledge within this data, in particular for predicting people flows and density in a Smart City. This predictive ability holds immense potential for a multitude of applications, from optimising people flow to streamlining event planning, while offering a powerful tool for pre-emptive identification of situations that may lead to crowd disasters. In this paper, we tackle two crucial aspects of people mobility using data from public events and an Italian mobile phone network: to predict both event attendance and future crowd density in specific areas. The event details (location, time etc.) are automatically gathered and stored in a structured format. Next, we handle these problems are treated in a 'supervised learning' setting, and various state-of-art Machine Learning techniques are tested to find the best model for each task. The obtained models will be encapsulated into a Policy Support System contributing to foster planning actions of mobility services.
Reference Elena Bellodi, Riccardo Zese, Carlo Petrovich, Angelo Frascella, Francesco Bertasi "Predicting the impact of public events and mobility in Smart Cities" IET Smart Cities. 1-23 (2024). https://doi.org/10.1049/smc2.12087
WEB Reference https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/smc2.12087
Repository reference DI213-016
PDF Directly downloadable file https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/smc2.12087
Directly downloadable file https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/smc2.12087
Research unit X-LAB
Keywords Smart City, Mobility, Data Model, Artificial Intelligence
LastUpdate 05/11/2024
Related research topics
Code Topic Description
1.8 Sustainable mobility
3.4 Smart city Smart city
3.4.2 Smart city and community Vivacity in changing economies: cities are engines of economic growth and of places where innovations emerge. Yet some cities have greater economic success than others. All over Europe we find cities with rapid economic growth and a strong decline, as wel

impact factor Vero
ReferenzaUnivoca DOI: https://doi.org/10.1049/smc2.12087




   


 

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