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

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.

• Periodical: Advanced Materials Research (Volumes 712-715)
• Pages: 2981-2985
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.712-715.2981
• Online since: June 2013
• Authors: Wei Zhan, Qing Lu, Yue Quan Shang
• Keywords: Grey Model, Highway Tunnel Group, Markov Optimization, Traffic Volume Prediction

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