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

机译:基于灰色马尔可夫模型的公路隧道集团区交通量预测

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摘要

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.
机译:基于公路隧道集团区域交通量的调查和分析,灰色模型分析了交通量的发展趋势。然后通过马尔可夫优化提高了预测精度。本文中的方法在比其他常见预测方法的时间内具有更好的预测精度和实用性。它可用于对交通量的预测分析和高速公路管理预警。

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