Chapter
Apr 26, 2012
A Real-Time Bus Travel-Time Prediction Model Based on Kalman Filtering Theory
Publication: Applications of Advanced Technologies in Transportation (2002)
Abstract
In this paper, a real-time bus travel-time prediction model is established by using Kalman filtering theory. The novel model can predict the travel-time by utilizing detected traffic volume on the links in the urban road networks, which is significant to the operation of urban buses system. The model is tested with practical detected data, and the results show that it has good properties.
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Published In
Applications of Advanced Technologies in Transportation (2002)
Pages: 918 - 923
Copyright
© 2002 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Postdoctor, Institute of Intelligent Information Engineering, Zhejiang University, Hangzhou, 310027, P. R. China. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.