Paper Title:
Application Research on Traffic Modal Choice Based on Decision Tree Algorithm
  Abstract

With the rapid development of urbanization in china, the contradiction between transport, environment and population growth is becoming more and more pronounced, which offers higher demands for transport planning. This article mainly describes the application of decision tree learning algorithm in traffic modal choice. First preprocess the sample data, then calculate and analyze the information gain ratio, and finally we will build a decision tree model. The results show that the rules obtained by decision tree method have some practical value in the analysis of traffic modal choice.

  Info
Periodical
Chapter
Chapter 6: ITS Theory and Applications
Edited by
Shucai Li
Pages
843-848
DOI
10.4028/www.scientific.net/AMM.97-98.843
Citation
Z. H. Peng, X. Luan, "Application Research on Traffic Modal Choice Based on Decision Tree Algorithm", Applied Mechanics and Materials, Vols. 97-98, pp. 843-848, 2011
Online since
September 2011
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Price
$32.00
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