Predizione tramite Apprendimento automatico per la Sicurezza e Sostenibilità dei Porti

Abstract

The PASSPort project develops machine learning-based systems to conduct risk analyses, implement nowcasting and forecasting of weather and climate conditions at the port scale, and predict the impacts of potential oil spills. Furthermore, the project defines predictive monitoring systems for port infrastructures, using sensor-based control systems to ensure operational safety. It also analyzes the impact of maritime traffic on urban mobility, aiming to promote the sustainability and safety in port-city interface areas.

Partner

Università degli Studi di Catania – Università degli Studi di Messina