An applicable short-term traffic flow forecasting method based on chaotic theory

2004 ◽  
Author(s):  
Jianming Hu ◽  
Chunguang Zong ◽  
Jingyan Song ◽  
Zuo Zhang ◽  
Jiangtao Ren
Keyword(s):  
Traffic Flow ◽  
Short Term ◽  
Traffic Flow Forecasting ◽  
Forecasting Method ◽  
Chaotic Theory

A Short-term Traffic Flow Forecasting Method Based on the Hybrid PSO-SVR

2015 ◽  
Vol 43 (1) ◽  
pp. 155-172 ◽  
Author(s):  
Wenbin Hu ◽  
Liping Yan ◽  
Kaizeng Liu ◽  
Huan Wang
Keyword(s):  
Traffic Flow ◽  
Short Term ◽  
Traffic Flow Forecasting ◽  
Forecasting Method

Short-Term Traffic Flow Forecasting of Road Based on Spline Weight Function Neural Networks

2014 ◽  
Vol 513-517 ◽  
pp. 695-698
Author(s):  
Dai Yuan Zhang ◽  
Jian Hui Zhan
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Weight Function ◽  
Traffic Flow ◽  
Learning Algorithm ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Short Term ◽  
Traffic Flow Forecasting ◽  
Forecasting Method

Traditional short-term traffic flow forecasting of road usually based on back propagation neural network, which has a low prediction accuracy and convergence speed. This paper introduces a spline weight function neural networks which has a feature that the weight function can well reflect sample information after training, thus propose a short-term traffic flow forecasting method base on the spline weight function neural network, specify the network learning algorithm, and make a comparative tests bases on the actual data. The result proves that in short-term traffic flow forecasting, the spline weight function neural network is more effective than traditional methods.

A short-term traffic flow forecasting method and its applications

2015 ◽  
Vol 20 (2) ◽  
pp. 156-163 ◽  
Author(s):  
Si-yan Liu ◽  
De-wei Li ◽  
Yu-geng Xi ◽  
Qi-feng Tang
Keyword(s):  
Traffic Flow ◽  
Short Term ◽  
Traffic Flow Forecasting ◽  
Forecasting Method
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