A Study of Heuristic Approaches for Runway Scheduling for the Dallas-Fort Worth Airport
Recent work in air transit efficiency has increased en-route efficiency to a point that airport efficiency is the bottleneck. With the expected expansion of air transit it will become important to get the most out of airport capacity. Departure scheduling is an area where efficiency stands to be imp...
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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-758 http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-758 |
| Summary: | Recent work in air transit efficiency has increased en-route efficiency to a point that
airport efficiency is the bottleneck. With the expected expansion of air transit it will
become important to get the most out of airport capacity. Departure scheduling is
an area where efficiency stands to be improved, but due to the complicated nature
of the problem an optimal solution is not always forthcoming. A heuristic approach
can be used to find a sub-optimal take-off order in a significantly faster time than the
optimal solution can be found using known methods.
The aim of this research is to explore such heuristics and catalog their solution
characteristics. A greedy approach as well as a k-interchange approach were developed
to find improved takeoff sequences. When possible, the optimal solution was found to
benchmark the performance of the heuristics, in general the heuristic solutions were
within 10-15% of the optimal solution. The heuristic solutions showed improvements
of up to 15% over the first-in first-out order with a running time around 4 ms. |
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