摘要
在概述交通流预测方法发展的基础上 ,重点介绍了三种基于确定的数学模型的短时交通流量预测方法 。
In this paper, the evolution of traffic flow forecasting methods is summarized firstly, three short\|term traffic flow forecasting methods based upon concrete mathematical models are introduced emphatically. At the last, an improving approach associated neural network for one of them is presented.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2000年第12期51-56,共6页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(79770061)
关键词
短时交通流预测
自适应权重
神经网络
short-term traffic flow forecasting
adaptive weighting
neural network
