Research on arrival procedure optimization and aircraft sequencing based on point merging

doi:10.16265/j.cnki.issn 1003-3033.2021.12.007

Abstract

Abstract: In order to solve aircraft delay in terminal areas, arrival procedure were optimized by using point merging technology, and a landing optimization scheduling model was established with number of aircraft conflict, average aircraft delay time, aircraft landing sequence changes and average fuel consumption as evaluation indexes. Then, based on interval standard of China's air traffic control office and real airspace data of Tianjin airport terminal area, aircraft samples were designed, their landing sequence was calculated by adopting the improved genetic algorithm. Finally, aircraft's arrival routes in Tianjin airport terminal area after using point merging were verified. The results show that with the use of this method, there will be no aircraft conflict, average delay time is reduced by 57.19% while delayed sorties are reduced by 7, and moreover, average fuel consumption is saved by 0.64%.

Key words: point merging, terminal area, aircraft sequencing, arrival procedure, genetic algorithm

CLC Number:

X949

BAI Peng, CHEN Linfeng, WANG Xi, GONG Yu, JIANG Songrong, ZHOU Qiongqi. Research on arrival procedure optimization and aircraft sequencing based on point merging[J]. China Safety Science Journal, 2021, 31(12): 45-52.

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