Optimization of Take-Off Runway Sequences for Airports Under a CDM Framework

Roland Deroo () and Alexandre Gama ()
Additional contact information
Roland Deroo: Service Technique de l’Aviation Civile
Alexandre Gama: Service Technique de l’Aviation Civile

A chapter in Applied Simulation and Optimization 2, 2017, pp 161-183 from Springer

Abstract: Abstract With the regular growth of air traffic, airports are becoming the most critical part of the aircraft path. Improving ground operations to absorb the delays generated is becoming a necessity. This chapter presents a new departure sequencing algorithm based on operation research methods in the context of the CDM implementation over the European airports. This algorithm is described and results and benefits are demonstrated using data from Paris Charles de Gaulle airport. The performance of the algorithm is also investigated using a fast-time simulation tool.

Keywords: Heuristic Algorithm; Network Manager; Collaborative Decision Make; Aircraft Type; Taxi Time (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-55810-3_6

Ordering information: This item can be ordered from
http://www.springer.com/9783319558103

DOI: 10.1007/978-3-319-55810-3_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().