PREDICTION OF TRAFFIC VOLUME AT THE JUNCTION USING NEURAL NETWORK

被引：0
作者：
Pamula, Teresa
机构：
来源：
SCIENTIFIC JOURNAL OF SILESIAN UNIVERSITY OF TECHNOLOGY-SERIES TRANSPORT | 2012年 / 74卷
关键词：
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
The article reviews the results of forecasting traffic intensity at the junction in Katowice. Data used for network learning comes from actual measurements of traffic and were recorded by a detector placed at the inlet junction. The results obtained were compared with the prediction of the actual data and verified. The purpose of the sudy is the feasibility and effectiveness of using neural networks in intelligent urban traffic management system.
引用
收藏
页码：67 / 74
页数：8
相关论文
共 7 条
[1]   Estimating traffic capacity for weaving segments using neural networks technique [J].
'Awad, WH .
APPLIED SOFT COMPUTING, 2004, 4 (04) :395-404
[2]  
Duch W., 2000, SIECI NEURONOWE, V6
[3]  
Gaca S., 2008, INZYNIERIA RUCHU DRO
[4]   Estimation of critical gaps in two major streams [J].
Hagring, O .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2000, 34 (04) :293-313
[5]   An urban traffic flow model integrating neural networks [J].
Ledoux, C .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 1997, 5 (05) :287-300
[6]   Recognizing vehicle classification information from blade sensor signature [J].
Oh, Cheol ;
Ritchie, Stephen G. .
PATTERN RECOGNITION LETTERS, 2007, 28 (09) :1041-1049
[7]  
Pamula T., 2011, TRANSPORT PROBLEMS
1