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Details of Grant 

EPSRC Reference: EP/H004424/2
Title: SANDPIT: Integrating and Automating Airport Operations
Principal Investigator: Burke, Professor EK
Other Investigators:
Zhong, Professor Q Eftekhari, Dr M Atkin, Dr JAD
Stewart, Professor PG
Researcher Co-Investigators:
Project Partners:
Manchester Airport Plc Zurich Airport
Department: Computing Science and Mathematics
Organisation: University of Stirling
Scheme: Standard Research
Starts: 01 December 2011 Ends: 30 September 2014 Value (£): 400,474
EPSRC Research Topic Classifications:
Artificial Intelligence Mathematical Aspects of OR
Transport Ops & Management
EPSRC Industrial Sector Classifications:
Transport Systems and Vehicles
Related Grants:
Panel History:  
Summary on Grant Application Form
This project emerged from the Research Councils' Energy Programme Sandpit in Airport Operations held at Shrigley Hall, Cheshire between 10-14 November 2008. It represents a wide ranging multi-disciplinary and cross-institutional initiative to exploit recent research advances in automated search methodologies and decision support techniques for air operations (and other related areas). This project will open up a range of exciting and ambitious research directions in the crucially important area of airport operations. The proposed programme of research will build integrated computational models of four key airport operations: Take-off scheduling, Landing Scheduling, Gate Assignment and Baggage flow. The project will explore how to build computational models that represent the integration of these problems and it will explore how to develop effective multi-objective search methodologies which will employ the models. At the moment, these operations are addressed in an isolated (and often manual) way. The ultimate goal is to develop innovative search methodologies which are able to operate from a global perspective in order to provide airport operators with a much higher level of computer aided decision support than is available today. Integrating these four operations and exploring new and exciting ways of generating high quality solutions to the integrated problem is the broad basic aim of the proposal. We will work closely with colleagues at Manchester and Zurich airports to ensure that we have continuous access to real world expertise and data. The proposal brings together a balanced inter-disciplinary team of scientists and engineers to investigate a series of novel research challenges with the overall goal of underpinning the development of tomorrow's airport operations decision support systems.
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Further Information:  
Organisation Website: http://www.stir.ac.uk