Relationship of Traffic Complexity and Pilot-Controller Voice Communication Load

Jun Xiang Huang; Hong Yong Wang

doi:10.4028/www.scientific.net/AMM.744-746.1980

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 744-746Relationship of Traffic Complexity and...

Relationship of Traffic Complexity and Pilot-Controller Voice Communication Load

Abstract:

A multi-factor linear regression model was developed to describe and estimatepilot-controller voice communication loads. The routinely-recorded air traffic control data andassociated voice communication data were collected to statistically analyze the correlation betweencomplexity factors and pilot-controller voice communication loads. Results show that each complexity factor is significantly correlated with voice communication loads. To eliminate multicollinearity among complexity indicators, principle component analysis is performed to extract two principle components from complexity indicators. These variables were used to construct the multivariate regression equations of the communication durations, the communication frequencies, and the integrated voice communication load index. These equations can quantitatively describe and estimate air traffic controller’s voice communication loads.

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Periodical:

Applied Mechanics and Materials (Volumes 744-746)

Pages:

1980-1984

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.744-746.1980

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Online since:

March 2015

Authors:

Jun Xiang Huang, Hong Yong Wang

Keywords:

Air Traffic Complexity, Air Traffic Management, Correlation Analysis, Regression Analysis, Workload

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