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Mathematical Problems in Engineering
Volume 2016, Article ID 9236156, 13 pages
Research Article

Short-Term Speed Prediction Using Remote Microwave Sensor Data: Machine Learning versus Statistical Model

1Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNlist), Tsinghua University, Beijing 100084, China
2Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China
3School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
4Department of Civil & Environmental Engineering, University of Washington, P.O. Box 352700, Seattle, WA 98195, USA

Received 11 December 2015; Accepted 19 January 2016

Academic Editor: Valentin Lychagin

Copyright © 2016 Han Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

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  • Wen Jiang, Boya Wei, Jun Zhan, Chunhe Xie, and Deyun Zhou, “A Visibility Graph Power Averaging Aggregation Operator: A Methodology Based on Network Analysis,” Computers & Industrial Engineering, 2016. View at Publisher · View at Google Scholar
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  • Athanasios Theofilatos, George Yannis, Constantinos Antoniou, Antonis Chaziris, and Dimitris Sermpis, “Time series and support vector machines to predict powered-two-wheeler accident risk and accident type propensity: A combined approach,” Journal of Transportation Safety & Security, pp. 1–20, 2017. View at Publisher · View at Google Scholar
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