DocumentCode
2427480
Title
A Runway Configuration Management (RCM) model with marginally decreasing transition capacities
Author
Duarte, Michael ; Weld, Christopher ; Kincaid, Rex
Author_Institution
Comput. Oper. Res., Coll. of William & Mary, Williamsburg, VA, USA
fYear
2010
fDate
23-23 April 2010
Firstpage
106
Lastpage
111
Abstract
The Runway Configuration Management (RCM) problem governs what combinations of airport runways are in use at a given time, and to what capacity. These are defined in terms of configurations (groupings of runways), operating under Runway Configuration Capacity Envelopes (RCCEs) which limit arrival and departure capacities. The RCCE identifies unique capacities constraints based on which tarmacs are used for arrivals, departures, or both, and their direction of travel. When switching between RCCEs, some decrement in arrival and departure capacities is incurred by the transition. Previous RCM models [1] have accounted for this cost through a required period of inactivity. In this paper, we instead focus on the introduction and assessment of a model capable of marginally decreasing RCCE capacities during configuration transitions. A transition penalty matrix is introduced, specifying the relative costs (in terms of accepted arrival and departure capacities) for switching between RCCEs i and j as a pij entry in the matrix. Although incurring inherent computational costs, this new model benefits from allowing customizable transition penalties which more closely represent real world conditions, and thereby increases model accuracy.
Keywords
air traffic; airports; matrix algebra; runway configuration capacity envelopes; runway configuration management model; transition capacities; transition penalty matrix; Airports; Computational efficiency; Computer science; Costs; Engineering management; Operations research; Testing; Weather forecasting; Welding; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Information Engineering Design Symposium (SIEDS), 2010 IEEE
Conference_Location
Charlottesville, VA
Print_ISBN
978-1-4244-7519-3
Type
conf
DOI
10.1109/SIEDS.2010.5469669
Filename
5469669
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