In response to tremendous growth of air traffic, achieving demand-capacity balance by ensuring airport runway’s adequacy and maximizing airport efficiency is extremely crucial. It is of utmost important especially to the airport operators in tackling flights delay under uncertainty. As such, this paper aims to propose a modeling framework for aircraft arrival delay, in the form of a G-queue (i.e. a queuing system with negative arrivals). In particular, this paper highlights that inbound flight delay can be modeled as a generalized G-queue network, by presenting a schematic structure to model aircraft arrival delay (with G-queue concept). Besides, a four-step framework is discussed to obtain numerous key data inputs for model development. In addition, a novel approach, namely K-GLE, is addressed accordingly in order to capture general distribution of interarrival and service time. Concisely, this paper supports the beneficial application of G-queue in modelling aircraft arrival delay. It is anticipated that the proposed methodology would be useful to assist the airport operators to improve on-time performance when dealing with arrival throughput under uncertainty (including stochastic demand).


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