Disaggregated modelling approaches, such as agent-based, have been successfully used to model freight transport markets. However, the maturity of published models is still relatively low. This paper proposes a novel agent-based model of a freight transport market. The model contains several new features. The decision-making process of individual agents is simulated through a normative stepwise approach using fuzzy set theory and accumulated market knowledge. Agents interact through simulated auctions of transport contracts. A dynamic price calculation mechanism has been devised to simulate agents’ specific pricing strategies. A distinguishing feature is that it can be used to assess the influence of agents’ market-related measures and behaviour on their competitiveness and on the respective transport chain. A synthetic market was calibrated to demonstrate its capabilities and limitations. The paper concludes with a set of directions for future research work.


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    Title :

    A disaggregated freight transport market model based on agents and fuzzy logic


    Contributors:
    Reis, Vasco (author)

    Published in:

    Publication date :

    2019-12-23


    Size :

    23 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English