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- W843674657 abstract "The aims of this paper are to develope drivers' route choice behavior models based on artificial neural network theory and to analyze the variation of drivers' preference as the change of their social-economic characteristics. In this paper, artificial neural network theory is applied to effectively incorporate the non-linearity of decision-making process, which was difficult to dealt in tradition. To improve the cross-section model and establish the importance of the dynamic model, the artificial neural network theory is introduced in the dynamic route choice model of this paper. At the result of analysis, we find that the fit-ratio of the artificial neural network model of this paper higher than it of the existed multinomial legit model and applied fuzzy inference model." @default.
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- W843674657 date "2003-01-01" @default.
- W843674657 modified "2023-09-24" @default.
- W843674657 title "Development of Dynamic Route Choice Behavioral Model With Neural Network Theory" @default.
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