Title :
Planning techniques for airport ground operations
Author :
Garcia, Jesus ; Berlanga, Antonio ; Molina, José M. ; Besada, J.A. ; Casar, José R.
Author_Institution :
Univ. Carlos III de Madrid, Spain
Abstract :
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.
Keywords :
aerospace computing; aerospace simulation; air traffic; air traffic control; airports; genetic algorithms; ground support equipment; minimax techniques; planning; scheduling; A-SMGCS; advanced surface movement/guidance/control systems; aircraft parking position/runway taxi operations; airport congestion; airport ground operation planning techniques; airport operational conditions; airport surface operation online scheduling; genetic algorithms; global optimization; graph representations; ground airport capacity maximization; ground controller scheduling tools; minimum-cost maximum-flow algorithms; taxiways route selection; Air traffic control; Aircraft; Airports; Delay; FAA; Genetic algorithms; Scheduling; Stochastic processes; Technology management; Testing;
Conference_Titel :
Digital Avionics Systems Conference, 2002. Proceedings. The 21st
Print_ISBN :
0-7803-7367-7
DOI :
10.1109/DASC.2002.1067902
