Improved grey system models for predicting traffic parameters
作者：
Highlights：
• Three trigonometric Grey System theory models for traffic prediction developed.
• The Grey model with cosine term demonstrated better accuracy than other compared models.
• Trigonometric models are robust to different datasets and traffic parameters.
• Developed Grey models do not require a large amount of data or computational time.
• Developed Grey models are able to better adapt to stochastic changes.
摘要
•Three trigonometric Grey System theory models for traffic prediction developed.•The Grey model with cosine term demonstrated better accuracy than other compared models.•Trigonometric models are robust to different datasets and traffic parameters.•Developed Grey models do not require a large amount of data or computational time.•Developed Grey models are able to better adapt to stochastic changes.
论文关键词：Grey system models,Travel time,Traffic speed,Traffic volume,Occupancy,Transferable models
论文评审过程：Received 25 February 2020, Revised 19 February 2021, Accepted 28 March 2021, Available online 2 April 2021, Version of Record 15 April 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114972
