Towards Adaptive Aircraft Landing Order with Aircraft Routes Partially Fixed by Air Traffic Controllers as Human Intervention View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-05-18

AUTHORS

Akinori Murata , Hiroyuki Sato , Keiki Takadama

ABSTRACT

This paper focuses on how cognitive loads of air traffic controllers can be reduced when optimizing both aircraft route and landing order in the airport landing problem (ALP), and proposes its method which can adaptively change the optimized aircraft landing order according to the aircraft routes partially fixed by air traffic controllers as human intervention. Though the intensive simulation on Haneda Airport in ALP, the following implications have been revealed: (1) our proposed optimization method succeeded to mostly maintain the same level of the results without fixing some of aircraft routes (i.e., the mostly same total distance of all aircrafts from the start position to the destination airport) even if air traffic controllers fixed some of aircraft routes; and (2) this result indicates that our proposed method has a great potential of reducing the cognitive loads of air traffic controllers by reducing the number of aircrafts that should be watched with fixing some of aircraft routes. More... »

PAGES

422-433

Book

TITLE

Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration

ISBN

978-3-319-58523-9
978-3-319-58524-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-58524-6_33

DOI

http://dx.doi.org/10.1007/978-3-319-58524-6_33

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086690447


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