A Hybrid Model Based on Support Vector Machine for Bus Travel-Time Prediction

A Hybrid Model Based on Support Vector Machine for Bus Travel-Time Prediction

Effective bus travel time prediction is essential in transit operation system. An improved support vector machine (SVM) is applied in this paper to predict bus travel time and then the efficiency of the improved SVM is checked. The improved SVM is the combination of traditional SVM, Grubbs’ test met...

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Bibliographic Details
Main Authors: Shiquan Zhong, Juanjuan Hu, Shuiping Ke, Xuelian Wang, Jingxian Zhao, Baozhen Yao
Format: Article
Language:English
Published: University of Zagreb, Faculty of Transport and Traffic Sciences 2015-08-01
Series:Promet (Zagreb)
Subjects:
bus travel time prediction
support vector machine regression
Grubbs’ test method
adaptive algorithm
Online Access:http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1577

Internet

http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1577

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