Accession Number : ADA293782
Title : Analysis and Modeling of an Airport Departure Process.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
Personal Author(s) : Hebert, Joseph E.
PDF Url : ADA293782
Report Date : MAR 1995
Pagination or Media Count : 137
Abstract : This study analyzes departure delays at a major airport using probability models to represent this non-homogeneous process. The models developed in this study expand on the Markovian models presently used by employing the method of stages to represent some of the model processes. This technique improves the user's ability to achieve a close fit for the service time probability distribution while maintaining the advantages of the Markovian model. The three types of models developed and compared all assume a Markovian system entry process. The first model uses an exponential distribution to model the service process. The second uses an Erlang distribution. The third models employs a unique server absence process to explicitly represents the periods of time when the server is unavailable to service departing aircraft. All three models generate results which correlate well with the delays actually observed. However, the Erlang model is preferred. Its results have lower variability than the exponential service time model. In addition, it generates solutions much faster than a typical application of the absence model. This model should be useful for improving capacity estimation and take-off delay prediction.
Descriptors : *FLIGHT CONTROL SYSTEMS, *TAKEOFF, MATHEMATICAL MODELS, TIME INTERVALS, AIRCRAFT, PREDICTIONS, MODELS, CAPACITY(QUANTITY), PROBABILITY DISTRIBUTION FUNCTIONS, PROBABILITY, ESTIMATES, TIME, VARIATIONS, DELAY, HETEROGENEITY, EXPONENTIAL FUNCTIONS, RUNWAYS, MARKOV PROCESSES, DISTRIBUTION FUNCTIONS.
Subject Categories : Flight Control and Instrumentation
Air Navigation and Guidance
Distribution Statement : APPROVED FOR PUBLIC RELEASE