Stochastic programming approaches to air traffic flow management under the uncertainty of weather

Stochastic programming approaches to air traffic flow management under the uncertainty of weather

As air traffic congestion grows, air traffic flow management (ATFM) is becoming a great concern. ATFM deals with air traffic and the efficient utilization of the airport and airspace. Air traffic efficiency is heavily influenced by unanticipated factors, or uncertainties, which can come from several...

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Bibliographic Details
Main Author: Chang, Yu-Heng
Published: Georgia Institute of Technology 2011
Subjects:
Rolling horizon method
Subgradient method
Lagrangian relaxation
Traffic flow management
Stochastic programming
Air traffic capacity
Airports Traffic control
Online Access:http://hdl.handle.net/1853/37183

Internet

http://hdl.handle.net/1853/37183

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