The trade-offs between these objectives reflect the interests of the different stakeholders: airports, airlines, passengers and local residents. The problem is interdisciplinary and multi-dimensional as the efficiency of airport operations depends on aircraft dynamics, airport layout, departing and arriving air traffic, and constraints including weather, air regulations and pilot-in-the-loop interaction. By modelling aircraft and their movements accurately, more efficient taxi routes can be generated than the manual or automated methods currently in use, while still maintaining safety standards. This talk focuses on the development of such a system by employing realistic, robust, cost-effective and reconfigurable multi-objective decision support methodologies. The proposed methodologies have been validated through complex ground handling problems at major airports to reduce taxi times, operating costs and environmental impact.

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