Prediction of Traffic Flow Base on Neural Network

被引:1
|
作者
Li, Xiaoying [1 ]
机构
[1] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410076, Hunan, Peoples R China
关键词
triffic flow; toll system; error ratio; neural network;
D O I
10.1109/ICICTA.2009.98
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Toll system is improving at the same time of expressway greatly developing. Intelligent toll system attracts more and more attentions and gets very wide application. With the development of computer, communication and network technology communication technology, toll system also has intelligent and network management. Tool system collects unremittingly a lot of toll flow date and other traffic information. We can predict traffic flow using the date of toll system base on neural network. We can understand the traffic flow every raod and it shares the road network specific weight, Meanwhile, traffic flow characteristics of spatial distribution and time distribution can be summarized, traffic flow change law and influencing factors can be obtained also. So it provides a background for the road network planning in the road designing and developing, traffic controling, and traffic safety etc.
引用
收藏
页码:374 / 377
页数:4
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