Intelligent negotiation behaviour model for an open railway access market
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Description
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.
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ID Code: | 38163 |
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Item Type: | Contribution to Journal (Journal Article) |
Refereed: | Yes |
Measurements or Duration: | 10 pages |
Keywords: | Intelligent transportation system, Negotiation behaviour, Open railway access markets, Reinforcement learning |
DOI: | 10.1016/j.eswa.2010.05.077 |
ISSN: | 0957-4174 |
Pure ID: | 32205286 |
Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering |
Copyright Owner: | Consult author(s) regarding copyright matters |
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
Deposited On: | 26 Oct 2010 01:12 |
Last Modified: | 02 Mar 2024 06:37 |
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