Modeling Air-Traffic Service Time Uncertainties for Queuing Network Analysis
| Autor: | Monish Tandale, Padmanabhan K. Menon, Jinwhan Kim |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Queueing theory
Engineering Mathematical model business.industry Air traffic management Aerospace Engineering Atmospheric model Air traffic control Reliability engineering National Airspace System ComputerSystemsOrganization_MISCELLANEOUS Computer Science::Networking and Internet Architecture Trajectory Motion planning Electrical and Electronic Engineering business Physics::Atmospheric and Oceanic Physics Simulation |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 48:525-541 |
| ISSN: | 0018-9251 |
| DOI: | 10.1109/taes.2012.6129653 |
| Popis: | Numerous factors influence the operational performance of the National Airspace System (NAS). In particular, the traffic efficiency is affected by uncertainties such as weather, navigation accuracy, aircraft performance and operational procedures, and air traffic management (ATM) actions. This study focuses on identifying various air traffic uncertainty sources and deriving the associated mathematical models of service time distributions. These models provide the distributions given air traffic uncertainties through analytical expressions without resorting to computationally expensive Monte-Carlo simulations. |
| Databáze: | OpenAIRE |
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