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Learning Crew Scheduling Constraints from Historical Schedules

Dr. Pramudi Suraweera
Monday, 13 December, 2010 - 15:00
Rm 031, Erskine, University of Canterbury

Map of the Erskine building


There are a number of rules and regulations that govern the workload of airline crew. Although some constraints are formally documented, there are many others based on established practice and tacit understanding. Consequently, the task of developing a formal representation of the constraints that govern the working conditions of an airline's crew requires extensive time and effort involving interviews with the airline's crew schedulers and detailed analysis of historical schedules. In this talk, I will present a system that was developed to learn crew scheduling constraints from historical crew schedules. The results of the evaluation conducted with crew schedules from two commercial airlines showed that the system is capable of learning majority of the minimum rest constraints.


Pramudi Suraweera presents at CSSE

Pramudi gained his PhD from the University of Canterbury in 2006. He continued his research in the area of Intelligent Tutoring Systems as a Post-doctoral fellow at Canterbury. He joined Carnegie Learning, Pittsburgh, in 2008 as a Cognitive Scientist. He is currently a Research Fellow at Monash University mining data from transportation networks including airlines and road networks.

All welcome!

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