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
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;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.31
