.png){kind=icon}
Return
A diffusion approximation to a single airport queue
.png){kind=icon}
PRE
AI
DOI：10.1016/j.trc.2012.04.010.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper illustrates a continuum approximation to queuing problems at a single airport, adapted from the well-known diffusion approximation, as encapsulated in the Kolmogorov forward equation of stochastic processes or the Fokker-Planck equation of physics. The continuum model is derived using special artifacts of the airport problem context, and a numerical solution scheme based on the finite element method is presented. The results are compared against known stationary results from the M/M/1 process, as well as against airport scenarios generated from real demand and supply data. In both cases, a Monte Carlo simulation is used to provide ground truth results against which to compare the diffusion model, and is shown that the results between the Monte Carlo and diffusion models match quite closely. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Queuing theory
Diffusion
Delay
Aviation system performance
Kolmogorov forward equation
Fokker-Planck equation
Finite element method
Journal
IF:
7.9
Papers:
4.7K
Citations:
3.2W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSave no more
no more