Resolving scheduling issues of the London Underground using a Multi-agent System

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3593, Issue , 2005, Pages 188-196

  Basra, Rajveer ^a   Lü, Kevin ^a   Rzevski, George ^b   Skobelev, Petr ^b  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b Magenta Technology   (United Kingdom)

Author keywords

Artificial Intelligence (AI); Intelligent Agents (IA); London Underground (LU); Multi Agent Systems (MAS); Scheduling

Indexed keywords

RAILROAD TRANSPORTATION; RAILROADS; SCHEDULING;

INTER-RELATED RAILWAY LINES; PROTOTYPE SYSTEMS; THE LONDON UNDERGROUND;

MULTI AGENT SYSTEMS;

EID: 26944500551     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11537847_17     Document Type: Conference Paper

References (10)

1. Official Website For The London Underground Infrastructure. www.TheTube.com
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3. Cmc limited; Case Studies: http://www.cmcltd.com/case_studies/ transportation/lul.htm
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6. Sun Micro-Systems: Customer Success Stories. http://www.sun.com/smi/ Success/IndustrySpecific/Transportation/London.Under.html
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9. http://www.magenta-technology.com
10. Wooldridge, M. (2002) An Introduction To Multi-Agent Systems: John Wiley & Sons ltd: Chichester.