Authors: Stefan Richter, Stefan Voss, Julian Wulf
Addresses: EADS Deutschland GmbH, EADS Innovation Works, Nesspriel 1, 21129 Hamburg, Germany. ' Institute of Information Systems, University of Hamburg, Von-Melle-Park 5, 20146 Hamburg, Germany. ' Institute of Information Systems, University of Hamburg, Von-Melle-Park 5, 20146 Hamburg, Germany
Abstract: This paper describes a system to forecast and optimise movements of the passengers inside airport terminal buildings. Three key technologies and their interactions are considered: firstly, the classification of passengers into different groups is described; secondly, the actual path-finding based on graph-theoretical methods is explained; thirdly, methods are introduced to reflect the spatial utilisation of the terminal floor space in the model. Each methodology is specifically selected to solve the designated problem in the best possible way. The main finding of this paper is the illustration of the interaction of these three different methodologies and how it can assist in passenger-handling processes on ground.
Keywords: air travel; data mining; graph theory; people movement; forecasting; optimisation; passenger movement; airport terminals; aviation management; spatial utilisation; terminal floor space; path finding; passenger handling; airline passengers.
International Journal of Aviation Management, 2011 Vol.1 No.1/2, pp.58 - 69
Published online: 27 Jan 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article