Development of a situation-responsive monitoring and assistance system
Based on the model created in AP 5400, predictions for expected as well as possible/logical activities are generated and evaluated in combination with the overall system model vector. Depending on the overall complexity, routines for the situational assessment of the overall situation are developed, which determine both current risks, action intentions (primarily of the considered captain) and action goals in an automated way. In combination with the options for action (situation-specific action space), options for alternative actions can also be determined in an automated manner, which can provide the basis for part decoupling for ship driving or for taking over ship driving [1,2,3]. The resulting difference between “This would be the right behavioral strategy” and “The taken action leads to an unacceptable risk or contains an increased risk” etc. [2] allows many options to determine assistance functionality on the action level (in the sense of workflow management or emergency functionality).
[1] Bejaoui, A.; F; Söffker, D.: Supervision concept for situated human driving applied to inland shipping. IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2022), Macau, China, 2022, accepted.
[2] Bejaoui, A.; He, C.; Söffker, D.: Novel model-based decision support system for reliable human machine systems in complex situations. Annual Conference of the PHM Society 2022, Nashville, Tennessee, USA, 2022, submitted.
[3] He, C.; Bejaoui, A.; Söffker, D.: Situated and personalized monitoring of human operators during complex situations. European Conference on Safety and Reliability (ESREL), Dublin, Ireland, 2022, accepted.
Hardware equipment (sensors, actuators, communication)
Trajectories from AIS data
Evaluation man-control station control station