会议专题

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

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.

Traffic Control Nonparametric regression Short-term forecast

Chen Feng Jia Yuanhua Yi Huixin Maihe Bubai Niu Zhonghai

School of Traffic and Transportation Beijing Jiaotong University Beijing, China

国际会议

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)

成都

英文

1130-1133

2010-12-17(万方平台首次上网日期,不代表论文的发表时间)