Review of Spatio-temporal Models for Short-term Traffic Forecasting

被引：0

作者：

Chang Gang ^{[1
]}

Wang Shouhui ^{[1
]}

Xiao Xiaobo ^{[1
]}

机构：

[1] Mil Transportat Univ, Dept Joint Project, Tianjin, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (ICITE) | 2016年

关键词：

spatio-termporal; short-term; traffic; forecasting;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Short-term traffic forecasting has been a hot research area in transportation research for more than sixty years. In recent years, more and more spatio-temporal models for short-term traffic forecasting were put forward with the consideration of spatial-temporal characteristic of traffic. This paper reviews the spatio-temporal models on short-term traffic flow forecasting and points out that the novel models and proper fusion of models should be the developmental trend of spatio-temporal models for the short-term traffic flow forecasting.

引用

页码：8 / 12

页数：5

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