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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 418303, 8 pages
http://dx.doi.org/10.1155/2013/418303
Research Article

Accurate Multisteps Traffic Flow Prediction Based on SVM

1School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China
2School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
3School of Navigation, Dalian Maritime University, Dalian 116026, China
4Department of Mechanical and Manufacturing Engineering, Aalborg University, 169220 Aalborg, Denmark

Received 29 August 2013; Accepted 12 September 2013

Academic Editor: Rui Mu

Copyright © 2013 Zhang Mingheng 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 [5 citations]

The following is the list of published articles that have cited the current article.

  • Xibin Wang, Junhao Wen, Shafiq Alam, Xiang Gao, Zhuo Jiang, and Jun Zeng, “Sales Growth Rate Forecasting Using Improved PSO and SVM,” Mathematical Problems in Engineering, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Ali Kia, and Serhan Sensoy, “ Classification of Earthquake-Induced Damage for R/C Slab Column Frames Using Multiclass SVM and Its Combination with MLP Neural Network ,” Mathematical Problems in Engineering, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar
  • Xu Hu, and Hong-Jun Yang, “Wavelet neural network with improved genetic algorithm for traffic flow time series prediction,” Optik, vol. 127, no. 19, pp. 8103–8110, 2016. View at Publisher · View at Google Scholar
  • Ye Tian, Jian Luo, and Xin Yan, “A New Conic Approach to Semisupervised Support Vector Machines,” Mathematical Problems in Engineering, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Ying Gao, Haitao Xu, Jiaxue Peng, and Ning Zheng, “Short-term BRT passenger flow prediction with a deep learning method,” International Journal of Simulation: Systems, Science and Technology, vol. 17, no. 40, pp. 23.1–23.6, 2016. View at Publisher · View at Google Scholar