Artificial Intelligence (AI) is everywhere and is being utilized on many fronts, producing good results from narrow scopes. Whilst image recognition is going beyond traditional OCR systems and video analytics are being used to measure truck queues, the broader introduction of AI in ports and terminals to make them more efficient, safer and sustainable is still a long way off, due to data availability and quality remaining a challenge.
In this paper, the Port Authority of Algeciras Bay (APBA) and NextPort present the results from a Pilot conducted in the summer of 2023, where the most intense ferry operation in Europe was supported by machine learning algorithms and simulation to enable new paradigms for decision-making. In simple terms, NextPort’s Digital Twin brought together descriptive, predictive and prescriptive capabilities, demonstrating that combining different data sources with historical foundations can benefit contingency diagnosis and associated problem solving, providing the user with suitable solutions and predictable outcomes.
Leave a Reply