Recovering from airline operational problems with a multi-agent system: a case study

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

António Mota (Author) FEUP; António J. M. Castro (Author) FEUP; Luís Paulo Reis (Author) FEUP

Conference proceedings National

Title: EPIA'2009 - 14th Portuguese Conference on Artificial Intelligence

Pages: 461-472

EPIA'2009 - 14th Portuguese Conference on Artificial Intelligence

Aveiro, Portugal, 12 a 15 de Outubro de 2009

Indexing

ISI Proceedings

ISI Web of Science

Scopus

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Technology > Transport technology > Air transport technology

Other information

DOI: 10.1007/978-3-642-04686-5_38

Abstract (EN): The Airline Operations Control Centre (AOCC) tries to solve unexpected problems during the airline operation. Problems with aircraft, crewmembers and passengers are common and very hard to solve due to the several variables involved. This paper presents the implementation of a real-world multi-agent system for operations recovery in an airline company. The analysis and design of the system was done following a GAIA based methodology. We present the system specification as well as the implementation using JADE. A case study is included, where we present how the system solved a real problem.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12