Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Taxi conflict prediction algorithm based on time bucket and probability prediction
Author:
Affiliation:

1.COMAC Shanghai Aircraft Design Research Institute Shanghai 201210;2.Civil Aviation University of China

Clc Number:

V328.3;X949

Fund Project:

中央高校基本科研业务费

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    Abstract:

    Considering the safety when aircrafts is taxing in the taxiway, one of the most important is to predict the conflict among aircrafts to avoid the conflict between two aircrafts. This paper presents a time bucket-based method taking the distance between aircrafts as standard. When considering the probability of conflict as standard, we assume that the position of aircraft follows two-dimension normal distribution first. Next step is to calculate the probability of conflict at any given time based on last algorithm. Through calculation shows that longitudinal and latitudinal variance accumulation effect should be considered when some uncertain factors exist in aircrafts’ taxing. Therefore, both the probability of conflict and the distance between aircrafts should be taken as standards in practice to assure the safety of the aircrafts.

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Hou Panpan, Wang Zixu. Taxi conflict prediction algorithm based on time bucket and probability prediction[J]. Advances in Aeronautical Science and Engineering,2020,11(6):803-810

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History
  • Received:December 23,2019
  • Revised:March 27,2020
  • Adopted:April 03,2020
  • Online: December 28,2020
  • Published: