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Airport Airside Optimisation Problems

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Automated Scheduling and Planning

Part of the book series: Studies in Computational Intelligence ((SCI,volume 505))

Abstract

This chapter aims to give the reader an accessible overview of airside airport operational research problems, with a particular focus upon runway scheduling, which is the subject of the case study. A number of problems are described, highlighting the direction of the research in each area and pointing the reader towards key publications where more information can be gained. Some of the surrounding problems are also outlined, to better understand the airport context. A case study is then provided, describing a system which was developed to aid runway controllers at Heathrow. Importantly, this considers a combination of two separate problems and the way in which these are simultaneously handled by the solution method. Results are provided for the presented case study, showing the potential benefits of decision support in that area. The chapter ends with a discussion of the likely ongoing importance of considering increasingly realistic objectives and constraints, of combining problems, and of targeting the environmental challenge at airports.

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Authors and Affiliations

  1. School of Computer Science, The University of Nottingham, Jubilee Campus, NG8 1B, Nottingham, UK

    Jason A. D. Atkin

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  1. Jason A. D. Atkin
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Correspondence to Jason A. D. Atkin .

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Editors and Affiliations

  1. , Elektrik-Elektronik Fakultesi, Istanbul Teknik Universitesi, Istanbul, 34469, Turkey

    A. Sima Uyar

  2. , School of Computer Science, University of Nottingham, Wollaton Road, Nottingham, NG8 1BB, United Kingdom

    Ender Ozcan

  3. , Centre for Emergent Computing, Edinburgh Napier University, 10 Colinton Road, Edinburgh, EH10 5DT, United Kingdom

    Neil Urquhart

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Atkin, J.A.D. (2013). Airport Airside Optimisation Problems. In: Uyar, A., Ozcan, E., Urquhart, N. (eds) Automated Scheduling and Planning. Studies in Computational Intelligence, vol 505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39304-4_1

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