Measuring Sector Complexity: Solution Space-Based Method

In Air Traffic Control (ATC), controller workload has been an important topic of research. Many studies have been conducted in the past to uncover the art of evaluating workload. Many of which have been centered on the sector complexity or task demand based studies [1,2,3,4]. Moreover, all have the aim to understand the workload that was imposed on the controller and the extent to which the workload can be measured.

[1]  David J. Schroeder,et al.  The Loss of Prescribed Separation between Aircraft: How Does It Occur? , 1982 .

[2]  Esa M. Rantanen,et al.  Hierarchical Conflict Detection in Air Traffic Control , 2005 .

[3]  A J Tattersall,et al.  An experimental evaluation of instantaneous self-assessment as a measure of workload. , 1996, Ergonomics.

[4]  G. Costa,et al.  Evaluation of workload in air traffic controllers. , 1993, Ergonomics.

[5]  Max Mulder,et al.  Altitude-Extended Solution Space Diagram for Air Traffic Controllers , 2011 .

[6]  Banavar Sridhar,et al.  Airspace Complexity and its Application in Air Traffic Management , 1998 .

[7]  Parimal Kopardehr DYNAMIC DENSITY : MEASURING AND PREDICTING SECTOR COMPLEXITY , 2004 .

[8]  Max Mulder,et al.  Solution Space Based Analysis of the Difficulty of Aircraft Merging Tasks , 2009 .

[9]  Milan Janic A model of air traffic control sector capacity based on air traffic controller workload , 1997 .

[10]  Eric Ruthruff,et al.  Visual Search in Complex Displays: Factors Affecting Conflict Detection by Air Traffic Controllers , 2000, Hum. Factors.

[11]  Laudeman,et al.  DYNAMIC DENSITY: AN AIR TRAFFIC MANAGEMENT METRIC , 1998 .

[12]  S. Puechmorel,et al.  AIR TRAFFIC COMPLEXITY : TOWARDS INTRINSIC METRICS , 2000 .

[13]  M. M. van Paassen,et al.  The Use of the Dynamic Solution Space to Assess Air Traffic Controller Workload , 2010 .

[14]  S. Puechmorel,et al.  Air Traffic Complexity: Towards an Intrinsic Metric , 2000 .

[15]  Parimal Kopardekar,et al.  Airspace Complexity Measurement: An Air Traffic Control Simulation Analysis , 2009 .

[16]  Dafyd Ab. High The future of flying , 1988 .

[17]  Amy R. Pritchett,et al.  Describing Airspace Complexity: Airspace Response to Disturbances , 2009 .

[18]  Brian Hilburn,et al.  COGNITIVE COMPLEXITY IN AIR TRAFFIC CONTROL: A LITERATURE REVIEW , 2004 .

[19]  Banavar Sridhar,et al.  Measures for air traffic controller workload prediction , 2001 .

[20]  Max Mulder,et al.  Using the Solution Space Diagram in Measuring the Effect of Sector Complexity During Merging Scenarios , 2011 .

[21]  Max Mulder,et al.  Analysis of Air Traffic Controller Workload Reduction Based on the Solution Space for the Merging Task , 2010 .

[22]  Ashley Nunes,et al.  An Empirical Study of Calibration in Air Traffic Control Expert Judgment , 2005 .

[23]  Anthony J. Masalonis,et al.  DYNAMIC DENSITY AND COMPLEXITY METRICS FOR REALTIME TRAFFIC FLOW MANAGEMENT , 2003 .

[24]  S. Magyarits,et al.  Dynamic density: measuring and predicting sector complexity [ATC] , 2002, Proceedings. The 21st Digital Avionics Systems Conference.

[25]  René van Paassen,et al.  Functional presentation of travel opportunities in flexible use airspace: an EID of an airborne conflict support tool , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[26]  Pamela S Della Rocco,et al.  COMPLEXITY IN AIR TRAFFIC CONTROL TOWERS. A FIELD STUDY PART 1: COMPLEXITY FACTORS , 2003 .

[27]  R. H. Mogford,et al.  The Complexity Construct in Air Traffic Control: A Review and Synthesis of the Literature. , 1995 .