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Transportation Mode Choice Analysis Based on Classification Methods

By Nadežda Zeņina and Arkādijs Borisovs

Abstract

Mode choice analysis has received the most attention among discrete choice problems in travel behavior literature. Most traditional mode choice models are based on the principle of random utility maximization derived from econometric theory. This paper investigates performance of mode choice analysis with classification methods - decision trees, discriminant analysis and multinomial logit. Experimental results have demonstrated satisfactory quality of classification

Topics: Decision trees, discriminant analysis, multinomial logit, transportation mode
Publisher: RTU
OAI identifier: oai:ortus.rtu.lv:12522
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