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- W2007392215 abstract "This paper on analyzing transportation system mechanisms is from the proceedings of 14th international Conference on Urban Transport and the Environment in the 21st Century, which was held in Malta in 2008. The authors note that transportation systems in general consist of many agents who choose their behaviors through learning based on their experiences and information provided. These agents interact mutually through the system, and the system must be dynamic and complex. The authors propose an agent-based simulation that enables a relatively flexible way to model the transportation system. In this model, each agent learns how best to choose a route based on his experiences, and the behavior of such agents and the mechanism of the transportation system are examined through simulation experiments. The authors conclude that the simulation experiments showed that the system converges to Wardrop equilibrium on average; the grades (the number of times of choosing the fastest route) are various among the agents; and the difference of the grades occurs contingently." @default.
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- W2007392215 date "2008-08-15" @default.
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- W2007392215 title "An analysis of transportation system mechanisms using the agent-based simulation" @default.
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- W2007392215 doi "https://doi.org/10.2495/ut080541" @default.
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