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.

• Periodical: Applied Mechanics and Materials (Volumes 97-98)
• Pages: 843-848
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.97-98.843
• Online since: September 2011
• Authors: Zheng Hong Peng, Xin Luan
• Keywords: Decision Tree, Information Gain Ratio, Traffic Modal

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