摘要
根据智能交通的发展需求,分析了历史趋势法和McMaster算法两种交通预测算法,根据这两种算法设计了实验,结果表明实验和实际情况相吻合。为了最终利用这两个算法的预测结果,同时介绍了一种数据融合的方法,利用它形成最终的交通预测结果。
According to the development of the Intelligent Transportation, the article analyzes two traffic forecast algorithms： Historical Trends and McMaster, and also designs the experiment for each algorithm, which shows the result satisfying the traffic reality. This article also introduces a data fusion method for the two algorithms, which makes the final traffic forecast by combining the results of the two algorithms.
出处
《信息技术与标准化》
2013年第12期62-65,69,共5页
Information Technology & Standardization
关键词
交通预测
历史趋势
突变理论
数据融合
traffic forecast
historical trends
catastrophe theory
data fusion
