Research of Traffic Flow Forecasting Based on the Information Fusion of BP Network Sequence-Reference-Cited by-同舟云学术

Research of Traffic Flow Forecasting Based on the Information Fusion of BP Network Sequence

Published:2015 Issue: Volume: Page:548-558
ISSN:0302-9743
Container-title:Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
language:
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Author:

Zhang Wei,Xiao Ridong,Deng Jing

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-23862-3_54

Reference17 articles.

1. Weng, X.X., Du, G.I.: Hybrid Elman Neural Network Model for Short-Term Traffic Prediction, pp. 235–280. IASTED International Conference Press, Anaheim (2006)

2. Research Institute of Highway Ministry of Transport. Research Report of China Intelligent Transportation System Framework. Research Institute of Highway Ministry of Transport Press, Beijing (2010)

3. Yua, R., Laoa, Y., Maa, X., Wanga, Y.: Short-term traffic flow forecasting for freeway incident-induced delay estimation. J. Intell. Transp. Syst. 18, 254–263 (2015). USA

4. Ke L., Jianjun,,T. Yingyuan, L: A short-term traffic flow forecasting method based on MapReduce, pp. 174–179. China (2015)

5. Cong, W.: An Internet Traffic Forecasting Model Adopting Radical Based on Function Neural Network Optimized by Genetic Algorithm, pp. 385–388. IEEE Press, Australia (2008)

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