Analysis of Air Traffic Controllers Decisions

David Annebicque (1) , Igor Crevits (1) , Thierry Poulain (1) , Serge Debernard (1)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201

This paper presents an approach based on a multiple criteria decision making methodology (MCDM) to analyse the decisions of Air Traffic Controllers. This study will allow to model some tools able to assist the controllers in their tasks and particularly able to help them to assume the ceaseless increase of Air Traffic. Currently the platform AMANDA assists controllers on only one sector of control. This platform was very pleasant welcome, and we wish to extend these principles to adjacent sectors, and thus include tool to help the cooperation between adjacent controllers. This analysis is composed of three main points. First it is necessary to determine the decision making process of controllers. The second point consists of the application of the MCDM which guide all the study. And finally a repertory grid technique is applied in order to support the operational aspect of MCDM and to support the interviews. We begin this paper by a presentation of Air traffic Control and the problematic, we present then AMANDA and its principles, and the objectives for the new version. In a third part we describe the approach developed and a real example of its application, the results and analyses that we can deduce of this first grid are also presented. These results must be, of course, confirmed and validated by the controllers.

Mots clés: Decision Analysis; Multiple Criteria Decision Making (MCDM); Repertory Grid; Human-Machine Cooperation; Situation Awareness; Air Traffic Control

Domaines: Automatique / Robotique

David Annebicque, Igor Crevits, Thierry Poulain, Serge Debernard. Analysis of Air Traffic Controllers Decisions. HCP'2008, 2008, Delft, Netherlands. ⟨hal-02112922⟩