DocumentCode
1607682
Title
Research on Method of Double-Layers BP Neural Network in Bicycle Flow Prediction
Author
Yuming, Mao ; Yuanyuan, Zhang
Author_Institution
Dept. of Inf. Eng., Shandong Jiaotong Univ., Jinan, China
fYear
2012
Firstpage
86
Lastpage
88
Abstract
The prediction of bicycle flow is important in intelligent transportation systems in China. This research aimed at using double-layers BP neural network to predict bicycle flow of Jingshi Road in Jinan City. The results of the computer simulation showed that the method was applicable, and the average relative tolerance was 4.65%. The double-layers BP neural network can be used to forecast bicycle flow.
Keywords
automated highways; backpropagation; bicycles; neural nets; China; Jinan city; Jingshi road; bicycle flow prediction; double-layers BP neural network method; intelligent transportation systems; Autoregressive processes; Bicycles; Biological neural networks; Computational modeling; Neurons; Predictive models; Roads; BP neural network; bicycle flow; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.31
Filename
6322320
Link To Document