Regression Analysis of Communication Workload Based on Air Traffic Complexity
Wem Rui-yin · Aeronautical Computing Technique · 2015
The reasonable assessment controller workload has an important role in guaranteeing the safe operation of the air traffic system. A prediction methods for assessment communication workload is put forward considering the air traffic complexity. 9 typical complexity factors were calculated based on the radar operational data of Xiamen air traffic control station. The strong multi- co- linearity among various complexity factors is discovered through co- linearity diagnosis. 2 principal components are be extracted from multiple complexity factrors by principal component analysis. The quantitative relationship between controller workload and traffic complexity factors are established by multivariate linear regression analysis method. And the correctness of the regression equation is verified by by the pilot / controller voice communication data.