OR-MASTER: Mathematical Models and Algorithms for Allocating Scarce Airport Resources

OR-MASTER is to be led by a team at Lancaster University Management School, working with Computing, Science and Mathematics researchers at the Queen Mary University of London.

The research has been funded by the EPSRC (Engineering and Physical Sciences Research Council) in response to growing concerns over airport capacity, rising demand, and the impact of congestion on both the travelling public and the air transport industry.

The work will build on the UK's world-leading expertise in Operational Research to find the most efficient ways to schedule flights, developing and testing new models and solution algorithms that take into account all the factors involved in the allocation of flight 'slots': individual airport operations, networks of airports, airline operations, air traffic management systems, airport authorities, civil aviation authorities, airlines and the travelling public.

Project lead, Professor Konstantinos G. Zografos at Lancaster University Management School, said: "Existing approaches to airport slot allocation do not consider all the real-world complexity involved. Therefore, there is room to improve airport capacity utilization which will benefit airlines, airports and the travelling public."

 

For further information, contact Professor K. Zografos.

 

Agenda and presentations from the OR-MASTER Workshop on Airport Capacity Management and Slot Allocation (December 2016)

Airport Stakeholders Workshop Agenda

A model based approach to the setting of declared capacities and flight schedule

Mathematical Models and Algorithms for Allocating Scarce Airport Resources

Optimizing Slot Allocation Decisions