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Game theoretic models for profit-sharing in multi-fleet platoons
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS. KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Transport Studies, CTS.ORCID iD: 0000-0002-3672-5316
2019 (English)In: Proceedings 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 3019-3024Conference paper, Published paper (Refereed)
Abstract [en]

Profit-sharing is needed within platoons in order for competing transportation companies to collaborate in forming platoons. In this paper, we propose distribution models of the profit designed for vehicles that are located at the same origin and are operated by competing transportation companies. The vehicles have default departure times, but can decide to depart at other times in order to benefit from platooning. We model the strategic interaction among vehicles with game theory and consider pure Nash equilibria as the solution concept. In a numerical evaluation we compare the outcomes of the games associated with different distribution models of the profit.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 3019-3024
Keywords [en]
Intelligent systems, Intelligent vehicle highway systems, Profitability, Vehicles, Wages, Departure time, Different distributions, Distribution models, Game-theoretic model, Profit sharing, Pure Nash equilibrium, Solution concepts, Strategic interactions, Game theory
National Category
Transport Systems and Logistics Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-268043DOI: 10.1109/ITSC.2019.8917349ISI: 000521238103015Scopus ID: 2-s2.0-85076804806ISBN: 9781538670248 (print)OAI: oai:DiVA.org:kth-268043DiVA, id: diva2:1417272
Conference
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand, October 27-30, 2019
Note

QC 20200327

Available from: 2020-03-27 Created: 2020-03-27 Last updated: 2020-05-02Bibliographically approved

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Johansson, AlexanderMårtensson, Jonas

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