A disaggregated freight transport market model based on agents and fuzzy logic
Authored by Vasco Reis
Date Published: 2019
DOI: 10.1080/21680566.2017.1421108
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Abstract
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.
Tags
Agent-based modelling
Simulation
Fuzzy logic
Logistics
freight transport
Determinants
Intermodality