Survey of Traffic and Radar Controller Communication and Workload
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Survey of Traffic and Radar Controller Communication and Workload Fedja Netjasov, Tatjana Krstic and Igor Poltoracki University of Belgrade Faculty of Traffic and Transport Engineering Division of Airports and Air Traffic Safety. Air Traffic Controller Tasks. Traffic monitoring;

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Survey of Traffic and Radar Controller Communication and Workload

Fedja Netjasov, Tatjana Krstic and Igor Poltoracki

University of Belgrade

Faculty of Traffic and Transport Engineering

Division of Airports and Air Traffic Safety

.


Air Traffic Controller WorkloadTasks

  • Traffic monitoring;

  • Conflict detection and resolution;

  • Vectoring;

  • Communication with Pilots and other Controllers;

  • Etc.


Controller Workload and Communication - Pilot Study Workload

  • Belgrade ACC, sector North East;

  • March 17/18 2000, 4 hours each day;

  • Recordings:

    • Tape recorder – radio frequency, telephone, interphone;

    • Tape recorder – working position;

    • Video camera – radar display;


Structure of the Study Workload

  • Analysis of traffic characteristics;

  • Analysis of controller communication vs. traffic;

  • Analysis of controller workload vs. traffic;

  • Analysis of controller workload vs. communication.


Analysis of Traffic Characteristics Workload

  • Cumulative number of aircraft in sector;

  • Max number of simultaneously present aircraft in the sector;

  • Cumulative number of flight strips on the console;

  • Max number of simultaneously present flight strips on the console;

  • Total number of potential conflicts;

  • Total number of transfers.


Number of flight strips ( WorkloadMarch 17)

Number of aircraft (March 17)

Number of transfers and potential conflicts (March 17)


C Workloadontroller’s communication


Analysis of Communication Workload

  • Total number of controllers communications during 15 min intervals;

  • Total duration of controllers communications during 15 min intervals;

  • Structure of conversations;

  • Average pauses between conversations.


Structure of total number of conversations Workload

Structure of total duration of conversations

Structure of conversations with aircraft crews

Structure of conversations with planning controller


Analysis of Communication (cont.) Workload

No. of conversations vs. No. of aircraft

Total duration of conversations

vs. No. of aircraft


Analysis of Workload Workload

  • NASA TLX (Task Load Index) Method for subjective assessment of controller workload

  • Relevant factors for workload assessment:

  • Mental demand;

  • Physical demand;

  • Temporal demand;

  • Performance;

  • Frustration level, and

  • Effort


Comparative Analysis of Workload

Traffic Parameters and Workload

Cumulative Number of Active Strips,

Number of Potential Conflicts

and Workload Index

Controller No.1

Number of Aircraft in Sector,

Number of Potential Conflicts

and Workload Index

Controller No.1


Comparative Analysis of Workload

Traffic Parameters and Workload (cont.)

Workload Index vs. Number of Aircraft in the Sector

Workload Index vs.

Number of Aircraft inthe Sector – classes


Comparative Analysis of Communication and Workload Workload

Changes of Number of Conversations and Workload Index (March 17)

Changes of Duration of Conversations and Workload Index (March 17)


Comparative Analysis of Communication and Workload Workload(cont.)

Workload Index vs.

Number of Conversations

Workload Index vs.

Duration of Conversations


Conclusion Workload

  • Purpose of presented survey was to determine engagement of tactical controller on communicationand influence of this engagement on estimated workload;

  • Analysis of conversation structure showed that tactical controller most frequently communicate with aircraft crews and then with planning controller;

  • It was concluded that the communication is important factor influencing controller workload, i.e. the increase of number and duration of conversation leads to workload increase;


Conclusion Workload (cont.)

  • Analysis showed also that the NASA-TLX method for workload assessment is sensitive to objective changes of controller workload;

  • However, application of this method have not overcomed significant individual differences between controllers in understanding the term workload, as well as itsassessment.


Further research Workload

  • Continuation of survey with aim of sample increase, which would enable determination of functional relationship between workload and traffic/communication parameters for purpose of workload prediction;

  • To see the impact of new communication technology (e.g. data link) on communication parameters and on workload.


Thank you Workloadfor your attention

University of Belgrade

Faculty of Transport and Traffic Engineering

Department of Air Transport

Division of Airports and Air Traffic Safety

http://apatc.sf.bg.ac.yu

[email protected]

Vojvode Stepe 305, 11000 Belgrade

Serbia and Montenegro

tel: +381 11 3091 352

fax: + 381 11 2496 476


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