Forecasting Model of Traffic Flow Based ARMA and Wavelet Transform
Based on wavelet transform and Auto Regressive Moving Average (ARMA), the forecasting traffic flow model which were used in optimal control of Intelligent Traffic system is researched. First of all, we have extracted the new data from the online measured raw data of traffic flow via wavelet transform and constructed the forecasting model of traffic flow; Secondly, we have detailedly analyzed the parameter structure of ARMA by method of least squares; Simultaneous, we has designed the running principium of the optimal control system of traffic flow, the network topological structure and the data transmitted model; Finally, a simulated example have shown that the technique is effectively and exactly. The theoretical analyze indicated that the forecasting model and algorithms have a broad prospect for practical application.
Da-rong Huang Da-cheng Wang Jun Song Jian-qiu Cao Wei Li
Lab of Information Science College of Mathematic and Information Chongqing Jiaotong University Chong Department of Electronical Engineering College of Computer and Science Chongqing Jiaotong University
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）