SANDPIT: Integrating and Automating Airport Operations
Lead Research Organisation:
University of Nottingham
Department Name: School of Computer Science
Abstract
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.
Publications
Yan, Z
(2014)
International Journal of Emerging Technology and Advanced Engineering
in User Interface for Integrating Airport Operations
Weiszer, Michal
(2014)
A heuristic approach to greener airport ground movement.
Weiszer, Michal
(2014)
(2014) A multi-objective genetic algorithm for solving the airport ground movement problem.
Weiszer, M
Emerging technologies
Weiszer M
(2015)
A real-time Active Routing approach via a database for airport surface movement
in Transportation Research Part C: Emerging Technologies
Weiszer M
(2018)
Preference-based evolutionary algorithm for airport surface operations
in Transportation Research Part C: Emerging Technologies
Weiszer M
(2015)
An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector
in Applied Energy
Ravizza, Stefan
(2012)
(2012) The trade-off between taxi time and fuel consumption in airport ground movement.
Description | This project has led to important advances in modelling and computational search methodologies for airport operations |
Exploitation Route | The work undertaken on this project has laid the foundations of ongoing work into real world airport operations. |
Sectors | Aerospace Defence and Marine |
Description | Mathematical models and algorithms for allocating scarce airport resources (OR-MASTER) |
Amount | £2,262,469 (GBP) |
Funding ID | EP/M020258/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2015 |
End | 09/2021 |
Description | Manchester Airport |
Organisation | Manchester Airport Plc |
Country | United Kingdom |
Sector | Private |
PI Contribution | Advice |
Collaborator Contribution | Advice and Data |
Impact | See publication list |
Start Year | 2009 |
Description | Zurich Airport |
Organisation | Zurich Airport |
Country | Switzerland |
Sector | Private |
PI Contribution | Advice |
Collaborator Contribution | Advice and Data |
Impact | See publications list |
Start Year | 2009 |