Short-term freeway traffic parameter prediction: Application of grey system theory models
作者：
Highlights：
• Three Grey System theory models for short term traffic speed prediction studied.
• The grey models demonstrated better accuracy than other tested nonlinear models.
• The Verhulst model with Fourier error correction demonstrates the best accuracy.
• The simpler derivations can allow the algorithms to be placed on portable devices.
• Well-defined mathematics of models can allow alteration for multidimensional data.
摘要
•Three Grey System theory models for short term traffic speed prediction studied.•The grey models demonstrated better accuracy than other tested nonlinear models.•The Verhulst model with Fourier error correction demonstrates the best accuracy.•The simpler derivations can allow the algorithms to be placed on portable devices.•Well-defined mathematics of models can allow alteration for multidimensional data.
论文关键词：Grey system theory-based models,GM(1,1),Grey Verhulst model,Fourier series,Traffic parameter prediction
论文评审过程：Received 28 December 2015, Revised 14 June 2016, Accepted 15 June 2016, Available online 16 June 2016, Version of Record 24 June 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.06.032
