One of the eects of the development of the air traf- c during the last years is the increase of congestion on major airports and their aprons, where ground handling operations take place and eciency and safety issues become more and more important. The recently funded European Project \Integrated Airport Apron Safety Fleet Management { AAS" aims at setting a decision support system for an ecient and safe management of apron trac, tak- ing advantage of information gathered by \intelli- gent" vehicles equipped with on-board positioning and monitoring systems. In this project, the role of the Padova team is concerned with optimizing the assignment of support vehicles to apron operations. We present a mathematical formulation of the prob- lem and we sketch a fast sequential heuristic, dis- cussing how good trade-os can be reached between eciency and robustness against unpredicted, but frequent, delays occurring in airport real-time con- texts. The proposed approach has been applied to a major European airport (Berlin Tegel { TXL) and preliminary results show remarkable eciency im- provements and reduction of delays due to handling operations.
Efficiency and Robustness in AAS, a Support Platform for Intelligent Airport Ground Handling
ANDREATTA, GIOVANNI;DE GIOVANNI, LUIGI;CAPANNA, LORENZO;MONACI, MICHELE;RIGHI, LUCA
2011
Abstract
One of the eects of the development of the air traf- c during the last years is the increase of congestion on major airports and their aprons, where ground handling operations take place and eciency and safety issues become more and more important. The recently funded European Project \Integrated Airport Apron Safety Fleet Management { AAS" aims at setting a decision support system for an ecient and safe management of apron trac, tak- ing advantage of information gathered by \intelli- gent" vehicles equipped with on-board positioning and monitoring systems. In this project, the role of the Padova team is concerned with optimizing the assignment of support vehicles to apron operations. We present a mathematical formulation of the prob- lem and we sketch a fast sequential heuristic, dis- cussing how good trade-os can be reached between eciency and robustness against unpredicted, but frequent, delays occurring in airport real-time con- texts. The proposed approach has been applied to a major European airport (Berlin Tegel { TXL) and preliminary results show remarkable eciency im- provements and reduction of delays due to handling operations.
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