Optimization and simulation of departure aircraft taxiing path

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Optimization and simulation of departure aircraft taxiing path

XING Zhiwei¹, XU Mingyi¹, LUO Xiao², LUO Qian²

(1. College of Electronic Information and Automation, CAUC, Tianjin 300300, China;2. Information Filiale, Second Research Institute of CAAC, Chengdu 100142, China)

Received:2018-03-04 Revised:2018-04-02 Online:2018-08-25 Published:2018-10-25

Abstract

Abstract: Variable taxiing time is an important index to evaluate the characteristics of airport traffic flow, which affects airport operation efficiency, passenger satisfaction and pollutant emission. Taking a large domestic hub airport as instance, the aircraft departure traffic flow model is constructed. Through analyses of departure traffic flow characteristics and congestion rules during departure taxiing path, and according to cellular automata theory,traffic flow of airport taxiing area is regarded as airport network topology structure made of node and link, taking taxiing rule and possible conflicts between aircrafts as constrained control conditions. Monte-Carlo algorithm is employed to achieve optimal taxiing path and shortest taxiing time. Finally, model simulation is conducted based on operational flight data. Result shows that the current model can effectively reduce taxiing time of departure flights, alleviate traffic congestion, fully schedule and reasonably allocate airport ground resource.

Key words: variable taxiing time, departure traffic flow, airport network diagram, cellular automata, Monte-Carlo algorithm, operation optimization

CLC Number:

TP15
V352

XING Zhiwei, XU Mingyi, LUO Xiao, LUO Qian. Optimization and simulation of departure aircraft taxiing path[J]. .

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