{"id":544,"date":"2025-09-05T12:56:52","date_gmt":"2025-09-05T11:56:52","guid":{"rendered":"https:\/\/research.dblue.it\/hucan\/?post_type=avada_portfolio&p=544"},"modified":"2025-09-17T15:19:55","modified_gmt":"2025-09-17T14:19:55","slug":"d1-6-exploratory-research-report","status":"publish","type":"avada_portfolio","link":"https:\/\/research.dblue.it\/hucan\/portfolio-items\/d1-6-exploratory-research-report\/","title":{"rendered":"D1.6 Exploratory Research Report"},"content":{"rendered":"

This report summarises the validation activities conducted within the HUCAN project, which aimed to develop a certification-aware design approach for ATM solutions that leverage advanced automation and artificial intelligence (AI). The project delivered two SESAR solutions: SOL.0445, which proposes a holistic certification approach for highly automated ATM systems; and SOL.0446, which offers preliminary guidelines for integrating AI certification objectives into SESAR validation frameworks. Supported by a Stakeholder Consultation Group and an Expert Group, validation activities confirmed the overall feasibility and relevance of the approach, while also identifying areas for improvement, particularly with regard to integrating industrial practices. The results support the continued refinement and application of the HUCAN framework, consistent with its early maturity level (TRL 2).<\/p>\n

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