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Resolving scheduling issues of the London Underground using a multi-agent system
by Rajveer Basra, Kevin Lu, Petr Skobelev
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 2, No. 1, 2007

 

Abstract: We consider the scheduling issues of the London Underground (LU), which spans the entire city and is a vast network of inter-related railway lines. By its very nature, it is a dynamic, complex and unpredictable environment operating or being maintained 24 hours-a-day. This paper is a report on an investigation into how a Multi-agent system (MAS) may be used for resolving scheduling issues of LU. It is a previously-unexplored domain. A prototype system, MASLU is developed through the use of multi-agent system technology, in an innovative and unique manner, with a view of resolving the London Underground's scheduling/logistics issues in real time.

Online publication date: Sat, 02-Dec-2006

 

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