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A Heuristic Algorithm for the Allocation of Airport Runway System Capacity

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  • Milan Janic

Abstract

This paper develops a heuristic algorithm for the allocation of airport runway capacity to minimise the cost of arrival and departure aircraft/flight delays. The algorithm is developed as a potential alternative to optimisation models based on linear and integer programming. The algorithm is based on heuristic (‘greedy’) criteria that closely reflect the ‘rules of thumb’ used by air traffic controllers. Using inputs such as arrival and departure demand, airport runway system capacity envelopes and cost of aircraft/flight delays, the main output minimises the cost of arrival and departure delays as well as the corresponding interdependent airport runway system arrival and departure capacity allocation. The algorithm is applied to traffic scenarios at three busy US airports. The results are used to validate the performance of the proposed heuristic algorithm against results from selected benchmarking optimisation models.

Suggested Citation

  • Milan Janic, 2006. "A Heuristic Algorithm for the Allocation of Airport Runway System Capacity," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(5), pages 501-520, November.
  • Handle: RePEc:taf:transp:v:30:y:2006:i:5:p:501-520
    DOI: 10.1080/03081060701599995
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    1. Milan Janic & Roger Stough, 2003. "Congestion Charging at Airports: Dealing with an Inherent Complexity," ERSA conference papers ersa03p434, European Regional Science Association.
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