Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31384
Title: A prioritized fuzzy constraint satisfaction approach to model agent negotiation for railway scheduling
Authors: Tsang, CW
Ho, TK
Keywords: Constraint theory
Digital simulation
Fuzzy set theory
Optimisation
Railways
Scheduling
Software agents
Issue Date: 2004
Publisher: IEEE
Source: Proceedings of 2004 International Conference on Machine Learning and Cybernetics, 2004, 26-29 August 2004, v. 3, p. 1795-1801 How to cite?
Abstract: 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.
URI: http://hdl.handle.net/10397/31384
ISBN: 0-7803-8403-2
DOI: 10.1109/ICMLC.2004.1382067
Appears in Collections:Conference Paper

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