流量(计算机网络)
卡尔曼滤波器
人工神经网络
计算机科学
时间序列
领域(数学)
参数统计
系列(地层学)
运筹学
计量经济学
工程类
人工智能
机器学习
统计
数学
古生物学
计算机安全
纯数学
生物
出处
期刊:Journal of Highway and Transportation Research and Development
日期:2004-01-01
被引量:160
摘要
Real-time traffic flow forecasting is one of important issues of ITS research.Some forecasting models including history average,time-series,Kalman filtering,non-parametric regression,neural networks and synthetic model,etc,have been established.Review of these existing forecasting models,and probable frequency of traffic flow forecasting research field is presented..
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