A prioritised fuzzy constraint satisfaction approach to model agent negotiation for railway scheduling
Tsang, C.W. & Ho, T.K. (2004) A prioritised fuzzy constraint satisfaction approach to model agent negotiation for railway scheduling. In Proceedings of the 2004 International Conference on Machine Learning and Cybernetics, IEEE, Worldfield Convention Hotel, Shanghai, pp. 1795-1801.
With the recent regulatory reforms in a number of
countries, railways resources are no longer managed by a single party but are distributed among different stakeholders. To facilitate the operation of train services, a train service provider (SP) has to negotiate with the infrastructure provider (IP) for a train schedule and the associated track access charge. This paper models the SP and IP as software agents and the negotiation as a prioritized fuzzy constraint satisfaction (PFCS) problem. Computer simulations have been conducted to
demonstrate the effects on the train schedule when the SP has different optimization criteria. The results show that by assigning different priorities on the fuzzy constraints, agents can represent SPs with different operational objectives.
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|Item Type:||Conference Paper|
|Keywords:||Railway scheduling, Software agents, Automated negotiation, Prioritized fuzzy constraint satisfaction|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Operations Research (010206)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2004 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||09 Nov 2010 10:37|
|Last Modified:||11 Aug 2011 03:56|
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