Short-Time Prediction Method Based on Fractal Theory for Traffic Flow

摘要：

Its very difficult to predict the nonlinear traffic flow message, especially short-time traffic flow. To solve the issuethe nonlinear fractal phenomenon of urban traffic is analyzed. Based on the fractal prediction technology applied in other fields, a dedicated improved fractal model is raised to predict short-time traffic flow parameter. A minimum fractal dimension is given according to the distinguished concrete traffic circumstance in the model. The weekly traffic similarity is also inducted to improve the accuracy of the model. Finally, the improved fractal model is employed to predict the traffic flow in Hangzhou city. The experiment result shows the improved fractal method proposed here possesses a high prediction precision.

关键词： Prediction Method Urban Traffic Flow Mathematic Model for Prediction Fractal Theory

作者: Chen Ning Wu Jian Wang Yifeng Xu Juanjun Dong Hangzao

作者单位: School of Mechanical and Automotive Engineering, Zhejiang University of Science and Technology, Hang School of Mechanical Engineering, Zhejiang University of Technology, Hang Zhou 310011

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 458-461

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）