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|Title:||Resolving scheduling issues of the London Underground using a multi-agent system|
|Keywords:||Artificial intelligence (AI);Multi-agent systems (MAS);Intelligent agents (IA);London Underground;Railway scheduling;Agent-based systems;Tube network;Logistics;Intelligent systems;Intelligent scheduling|
|Citation:||Holonic and Multi-Agent Systems for Manufacturing; Lecture Notes in Compter Science, Volume 3593/2005, 188-196|
|Abstract:||We consider the scheduling issues for 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 reports on an investigation into how a Multi-Agent System (MAS) may be used for resolving scheduling issues for LU. It is a previously unexplored domain. A prototype system MASLU is developed through the use of MAS technology, in an innovative and unique manner, with a view to resolving the London Undergrounds scheduling issues in real time.|
|Description:||The published version of this article may be accessed from the link below - Copyright @ 2005 Springer-Verlag|
|Appears in Collections:||Business and Management|
Brunel Business School Research Papers
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