Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1504/IJISTA.2007.011569 | International Journal of Intelligent Systems Technologies and Applications |
Keywords | Field | DocType |
inter-related railway line,previously-unexplored domain,entire city,resolving scheduling issue,prototype system,logistics issue,real time,london underground,scheduling issue,multi-agent system,multi-agent system technology,artificial intelligent,multi agent system,intelligent agent,scheduling | Intelligent agent,Agent based systems,Intelligent decision support system,Computer science,Scheduling (computing),Computer-integrated manufacturing,Multi-agent system,Processor scheduling,Distributed computing | Journal |
Volume | Issue | ISSN |
2 | 1 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-28237-8 | 7 | 0.67 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| rajveer basra | 1 | 7 | 0.67 |
| Kevin Lu | 2 | 19 | 5.82 |
| George Rzevski | 3 | 69 | 12.37 |
| Petr Skobelev | 4 | 118 | 24.61 |