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ZHANG Jing, XU Xiao-hao, WANG Fei, WEI Dong-xuan. Airport delay performance evaluation based on fuzzy linear regression model[J]. Journal of Traffic and Transportation Engineering, 2010, 10(4): 109-114. doi: 10.19818/j.cnki.1671-1637.2010.04.018
Citation: ZHANG Jing, XU Xiao-hao, WANG Fei, WEI Dong-xuan. Airport delay performance evaluation based on fuzzy linear regression model[J]. Journal of Traffic and Transportation Engineering, 2010, 10(4): 109-114. doi: 10.19818/j.cnki.1671-1637.2010.04.018
shu

Airport delay performance evaluation based on fuzzy linear regression model

doi: 10.19818/j.cnki.1671-1637.2010.04.018
  • 1.

    School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

  • 2.

    Air Traffic Management Research Base, Civil Aviation University of China, Tianjin 300300, China

More Information
  • Author Bio:

    ZHANG Jing(1975-), female, doctoral student, +86-22-24092434, fishvision@163.com

    XU Xiao-hao(1949-), male, professor, +86-22-24092881, xuxhao2008@sina.com

  • Received Date: 2010-02-18
  • Publish Date: 2010-08-25
    Abstract
  • In order to effectively evaluate the delay performance of airport, taking into account that the weather and traffic variable values were usually subject to some uncertainty factors, the features of traffic demand and weather were used to develop a fuzzy linear regression model for airport arrival delay, and the estimated delay was computed.The continuous baseline to measure operational airport delay performance was obtained by comparing estimated delay with actual delay.The delay performance could be evaluated based on the delay baseline.Analysis result indicates that the features of traffic demand and weather have a strong linear relationship with airport arrival delay, which can be fitted with the model.The delay performance baseline takes into account the impact of airport weather and traffic demand on the delay, and divides the delay into low, medium and high levels, and the delays of different days can be compared and evaluated.

     

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