Research on Traffic Flow Prediction in the Big Data Environment Based on the Improved RBF Neural Network

2017 ◽  
Vol 13 (4) ◽  
pp. 2000-2008 ◽  
Author(s):  
Dawei Chen
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Traffic Flow ◽  
Rbf Neural Network ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Data Environment

The Model of Short-Time Traffic Flow Prediction on High-Grade Highway

2011 ◽  
Vol 255-260 ◽  
pp. 4128-4132
Author(s):  
Hong Chen ◽  
Yu Wei Yuan ◽  
Juan Sun ◽  
Na Bao
Keyword(s):  
Neural Network ◽  
Wavelet Analysis ◽  
Traffic Flow ◽  
Rbf Neural Network ◽  
High Grade ◽  
Traffic Flow Prediction ◽  
Discontinuous Flow ◽  
Flow Prediction ◽  
The Difference ◽  
Short Time

In order to study the short-time traffic flow prediction on high-grade highway, the article proposed a model based on wavelet analysis and RBF neural network. Aiming to the traffic flow’s characteristic of highway, the study focus on three facet: network topology, the difference of continuous flow and discontinuous flow , the flow of lanes’ uplink and downlink are not equal. Thus the article use the wavelet analysis to do data preprocessing, then structure the model of short-term traffic flow prediction based on RBF neural network. The experiment result shows that the new hybrid model adapt to high-grade highway, and model considering traffic flow characteristic is better than the model which is not. Meanwhile the model has the higher precision of prediction.

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