Title: Aircraft pushback slot allocation bi-level programming model based on congestion pricing

Authors: Li-Hua Liu; Ming-Lei Song; Xue-Jiao Wang; Ming-Hui Wang; Zhi-Wei Xing

Addresses: School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan 467036, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan 467036, China ' School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan 467036, China ' Wujiang District People's Government Office of Suzhou, Jiangsu Province, Suzhou 215200, China ' Ground Support Equipment Research Base, Civil Aviation University of China, Tianjin 300300, China

Abstract: In order to alleviate the congestion of airport surface, aircraft pushback slot congestion pricing is explored. First, the feasibility of aircraft pushback slot pricing is analysed. Then the Stackelberg game model for aircraft pushback slot allocation is established by combining the congestion pricing with non-cooperation game. By using bi-level programming theory, this game model is further extended to a bi-level programming model. Considering the discretisation of this model, an improved artificial fish algorithm is also designed by improving the fish school behaviour and optimum solution selection criteria. Finally, an example analysis is performed on Xinzheng International Airport. By comparing the simulation result of pushback slot congestion pricing with other strategies, the advantages of the developed model and algorithm are emphasised.

Keywords: AFSA; aircraft pushback slot; congestion pricing; Stackelberg game.

DOI: 10.1504/IJCSM.2021.119900

International Journal of Computing Science and Mathematics, 2021 Vol.14 No.3, pp.249 - 262

Received: 28 Jan 2019
Accepted: 12 Apr 2019
Published online: 23 Dec 2021 *

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