Prediction of Traffic Volume in Highway Tunnel Group Region Based on Grey Markov Model

Author:

Zhan Wei1,Lu Qing1,Shang Yue Quan1

Affiliation:

1. Zhejiang University

Abstract

Based on the investigation and analysis of the traffic volume in highway tunnel group region, the development trend of traffic volume is analyzed by Grey model. Then the prediction accuracy is improved by Markov optimization. The method in this paper has a better prediction accuracy and practicality in a period than other common prediction methods. It can be used for the prediction analysis of traffic volume and for early warning by highway management.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference7 articles.

1. Yuchun Zhang, Chuan He and Yong Fang: China Safety Science Journal. Vol. 19 (2009), pp.120-123. (In Chinese).

2. Julong Deng: Grey Prediction and Grey Decision (Huazhong University of Science and Technology Press, Wuhan 2002). (In Chinese).

3. Xinping Xiao, Zhongmin Song and Feng Li: Grey Technology and Application (Science Press, Beijing 2005). (In Chinese).

4. Duncan T E, Pasik D B and Stettner L: Appl. Math. Optim. Vol. 37 (1998), p.37.

5. Bluementhal R M, Getoor R K: Markov Process and Potential Theory (Academy Press, New York 1986).

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