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A Useful Decision Support Model for Road Owners to Select ETC tags Based on C4.5 Algorithm

Authors :
Weiping Jin
Kunlian Li
Yu Gu
Haijin Chen
Xiaomin Yin
Source :
2018 IEEE 4th International Conference on Computer and Communications (ICCC).
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

This article is dedicated to creating a decision support model that helps Chinese road owners select appropriate ETC tags. The main function of this model is to provide a decision tree to guide road owners to find a suitable path to make decision. In this research, our project team interviewed road owners for requirement analysis and listed suitable ETC application samples with appropriate attributes. Based on these samples, we introduced C4.5 algorithm to generate a decision tree model which provided suitable path for decision. After model creation, the validating work confirmed that decision model is applicable for most ETC application scenarios.

Details

Database :
OpenAIRE
Journal :
2018 IEEE 4th International Conference on Computer and Communications (ICCC)
Accession number :
edsair.doi...........c97dbcb56914a9da8e4e388f181eb094