| Abstract [eng] |
The dissertation is focused on modeling normative rules and visualization of norm violation in decision support for aircraft approach/departure. A prototype decision support system (DSS) is developed to demonstrate feasibility of the proposed method. Norms are taken from the flight rules, maps, approach/departure procedure charts and other legal documents. An example of a normative rule: keep 3 degrees descent angle while landing and hold restrictions of the altitude and geography which is depicted in the aerodrome chart. The work is based on the assumption that lidar, which is used together with the radar, provides aircraft position with a high degree of accuracy. This enables the DSS to detect trajectory violations. Two norm types are identified: limit-based and deviation-based. Each norm is modeled with a factor (attribute of the trajectory/ies), a normative value, and a predicate. Risk item definition associates a modeled norm with a set of thresholds and discrete risk levels. Risk evaluation maps the observed value to a discrete risk level. Each risk level is assigned a traffic light color (green, yellow or red), to help guide decisions. Risk is visualized with a colored indicator. Two methods based on 3D views are proposed to visualize the adherence of the aircraft to the airport procedures. Additional objects (projection curtains, wireframe rings) which are integrated into the main 3D window allow the user to visually estimate compliance with the procedure. |
