Research of Short-terra Traffic Flow Forecast Method Based on Nonparametric Regression

摘要：

In view of the strict requirement of short-term forecast accuracy and real-time of traffic control and traffic guidance, and take the nonlinear and uncertain characteristics of traffic flow into consideration. Then based on nonparametric regression, this paper improved the nonparametric regression forecast method with the combined correlation coefficient and trend method. Not only the calculating amounts in prediction process reduce, but also can ensure that it has higher prediction accuracy. The Improved model provides some new ideas and methods for short-term traffic forecast.

关键词： Traffic Control Nonparametric regression Short-term forecast

作者: Chen Feng Jia Yuanhua Yi Huixin Maihe Bubai Niu Zhonghai

作者单位: School of Traffic and Transportation Beijing Jiaotong University Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1130-1133

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）