DAYDREAMS’s overall objective is to advance the integration and use of data and artificial or human trustworthy intelligence, together with context-driven
Human Machine Interface (HMI) for prescriptive Intelligent Asset Management Systems (IAMS), in railway by:
- Advancing the maintenance approach by moving from preventive and predictive asset management towards prescriptive asset management
- Largely improving the decision-making process by developing multi-objective decision optimisation approaches thus taking into account all possible – often conflicting – implications of IAMS decisions in the railway environment (e.g. on Traffic Management System, Energy, Freight, etc.)
- Reinforcing the role of the person-in-the-loop by designing and developing advanced context-driven HMIs to allow context- and risk-aware, multiple-options decision-making processes supported by the information on data sensitivity and robustness. The HMI will allow the person-in-the-loop to:
o Properly access and visualise predictions or metrics and models
o Assess why and how the model predicts something (“opening the black-box”)
o Steer models by setting parameters
o Evaluate alternatives using parameter steering and extending this process through speculative execution