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Intelligent negotiation behaviour model for an open railway access market

Wong, S.K. & Ho, T.K. (2010) Intelligent negotiation behaviour model for an open railway access market. Expert Systems with Applications, 37(12), pp. 8109-8118.

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Abstract

In an open railway access market, the provisions of railway infrastructures and train services are separated and independent. Negotiations between the track owner and train service providers are thus required for the allocation of the track capacity and the formulation of the services timetables, in which each party, i.e. a stakeholder, exhibits intelligence from the previous negotiation experience to obtain the favourable terms and conditions for the track access. In order to analyse the realistic interacting behaviour among the stakeholders in the open railway access market schedule negotiations, intelligent learning capability should be included in the behaviour modelling. This paper presents a reinforcement learning approach on modelling the intelligent negotiation behaviour. The effectiveness of incorporating learning capability in the stakeholder negotiation behaviour is then demonstrated through simulation.

Impact and interest:

2 citations in Scopus
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1 citations in Web of Science®

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ID Code: 38163
Item Type: Journal Article
Keywords: Reinforcement learning , Open railway access markets, Negotiation behaviour, Intelligent transportation system
DOI: 10.1016/j.eswa.2010.05.077
ISSN: 09574174
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Expert Systems (080105)
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 2010 Elsevier Ltd All rights reserved.
Deposited On: 26 Oct 2010 11:12
Last Modified: 01 Mar 2012 00:19

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