Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1251-1255, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1251-1255, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Sep 2017

14 Sep 2017

ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA

J. Li1, X. Wang1, Y. Xu2, Q. Li1, C. He1, and Y. Li1 J. Li et al.
  • 1College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083 China
  • 2China Academy of Civil Aviation Science and Technology, Beijing 100028, China

Keywords: Taxiing delay, Impact factors, ADS-B data, Traffic flow, Map matching, Correlation analysis

Abstract. Identifying the factors that cause taxiing delay on airports is a prerequisite for optimizing aircraft taxiing schemes, and helps improve the efficiency of taxiing system. Few of current studies had quantified the potential influencing factors and further investigated their intrinsic relationship. In view of these problems, this paper uses ADS-B data to calculate taxiing delay time by restoring taxiing route and identifying key status points, and further analyzes the impact factors of airport taxiing delay by investigating the relationship between delay time and environmental data such as weather, wind, visibility etc. The case study in Guangzhou Baiyun Airport validates the effectiveness of the proposed method.