One of the main reasons for congestion in major airports is the taxi operation of aircraft between parking positions and runways. The development of tools to assist ground controllers in scheduling and selecting the best taxiway routes are a challenge for the future A-SMGCS (advanced surface movement, guidance and control systems) paradigm. In this work, two global optimization approaches were evaluated. A modified minimum-cost maximum-flow algorithm and a genetic algorithm are tested and discussed in order to maximize the ground airport capacity. Several operational conditions are simulated in a graph representation of Madrid-Barajas Int. Airport. Experiments show the algorithms' performance in representative ground operations. The analysis of the airport capacity and the possibility of online scheduling the airport surface operation are discussed in this work.
Planning techniques for airport ground operations
2002-01-01
1041825 byte
Conference paper
Electronic Resource
English
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