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Bus travel time prediction model with ν - support vector regression

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3 Author(s)
Jing-nan Wang ; MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing JiaoTong University Beijing, 100044, P. R. China ; Xu-mei Chen ; Shu-xia Guo

Bus travel time prediction is a vital part for both bus operation optimizing system and information service system. This paper reviews existing bus travel time prediction models and analyzes the strengths and weaknesses of each model. A bus travel time prediction model based on nu - Support Vector Regression is proposed, which uses the departure time of bus from origin stop that can reflect traffic conditions for a certain degree as the input data. The performance of the proposed model is tested it in a case study of Express bus line 104 in Beijing. The result validates the effectiveness and efficiency of the model.

Published in:

2009 12th International IEEE Conference on Intelligent Transportation Systems

Date of Conference:

4-7 Oct. 2009