Prediction of Traffic Flow Based on Gray Theory and BP Neural Network-Reference-Cited by-同舟云学术

Prediction of Traffic Flow Based on Gray Theory and BP Neural Network

Published:2007-07-09 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Transportation Engineering 2007
language:
Short-container-title:

Author:

Zhao Zebin¹²²,An Shi¹²²,Wang Jian¹²²

Affiliation:

1. School of Management, Harbin Institute of Technology, Harbin P.R. China, 150001.

2. School of Management, Harbin Institute of Technology, Harbin P.R. China, 150001

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/40932%28246%29481

Reference8 articles.

1. Recent advances and application in the field of shot-term traffic forecasting;Arem Bart Van;International Journal of Forecasting.,1997

2. Corinne Ledoux. (1997). An Urban Traffic Flow Integrating Neural Networks. Transportation Part C. 5(5) 287~300.

3. C.Quek A.Singh.POP-Yager.(2005). A novel self-organizing fuzzy neural network based on the Yager iferece.Expert Sy stems with Application.29 229~242.

4. Guozhen Tan Hao Ding. (2002). Generalized neural network research and its application in the traffic flow forecast.Contro l and decision-making. 11(17) 777~781.

5. Use of sequential learning for short-period traffic flow;Chen Haibo;Transportaiton Research Part C.,2001

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