A review of transport market modeling using game-theoretic principles
Autor: | Amir Brudner, Nicole Adler, Stef Proost |
---|---|
Rok vydání: | 2021 |
Předmět: |
050210 logistics & transportation
021103 operations research Information Systems and Management General Computer Science Game theoretic Management science Computer science 05 social sciences 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Cournot competition Industrial and Manufacturing Engineering Competition (economics) Order (exchange) Modeling and Simulation 0502 economics and business Stackelberg competition Game theory |
Zdroj: | European Journal of Operational Research. 291:808-829 |
ISSN: | 0377-2217 |
DOI: | 10.1016/j.ejor.2020.11.020 |
Popis: | Transport markets involve interactions between multiple groups of decision-makers, hence they are good candidates to be analyzed through the prism of game theory. The many models and algorithms published to date tend to reflect different academic disciplines, including operations research, economics and engineering approaches. Models published in the operations research oriented journals often involve large network components in order to provide relatively specific insights, building on Stackelberg, Wardrop and traffic assignment formulations. Game-theoretic models published in economics journals are frequently conceptual with stylized assumptions, such as Cournot, Bertrand and Hotelling, all of which have been applied to transportation markets. We present the more common models and highlight the differences in the equilibria outcomes drawing from the choice of model and beliefs of the players in the market. We discuss the most widely applied algorithms and formulations utilized to solve network-based transport markets. Finally, we review the published literature with real-world applications and discuss potential new areas yet to be explored substantially, including the analysis of multi-modal markets involving both competition and cooperation across transport modes. |
Databáze: | OpenAIRE |
Externí odkaz: |