How long will the traffic flow time series keep efficacious to forecast the future?

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• 作者：PengCheng Yuan^a ; ^{danis_cx@126.com} ; XuXun Lin^b ; ^{linxuxun@hotmail.com}
• 关键词：Traffic flow time series ; Long memory ; Modified rescaled range analysis ; Maximum Lyapunov exponent
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：467
• 期：Complete
• 页码：419-431
• 全文大小：768 K
• 卷排序：467

文摘

The traffic flow time series memory property is analyzed using R/SR/S analysis method. Both of the freeway and the groundway traffic flow time series have long-term memory. This study can provide theoretical basis for ITS data acquisition and forecasting. It would be useful but rarely involved in previous researches.