基于马尔可夫链模型的道路劣化预测(以伊拉克Wasit省为例)

A. Mahjoob, A. K. Shadhar
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引用次数: 0

摘要

考虑到旅行者的安全和舒适,道路一直被用作促进城市之间货物和人员流动的手段。伊拉克的城市之间只有有限的道路网络连接,因此,如果道路恶化或达到故障阶段,将没有其他选择。因此,需要找到一种方法或技术,可以在道路达到最终失效阶段之前预测道路性能。建立准确预测所需的技术是多种多样的,这就需要根据现有资源使用适当的技术。由于伊拉克现有的资源有限,本文将尝试使用一种易于使用的技术,只需要进行实地调查作为输入数据,那么其输出就是未来的道路状态。在本研究中,利用马尔可夫链建立了一个退化模型(针对巴格达-库特公路项目),以提高决策者在年度政府计划中决策和实施决策的能力。
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Roadway Deterioration Prediction Using Markov Chain Modeling (Wasit Governorate/ Iraq as a Case Study)
Roads have always been used as a means of facilitating the movement between cities for goods and people, taking into account the safety and comfort of travelers. The Iraq’s cities have a limited road network connecting between there, so that if the road deteriorates or reaches to failure stage, there are no alternatives will be available. Therefore, the need was arising to find a method or technique that allow prediction the road performance before it reaching the final failure stage. The techniques requirements to create accurate prediction will be varied, which requires the use of appropriate technology for the available resources. Because of the limited resources available in Iraq, this paper will try to use an easy-to-use technology and only need to conduct field surveys as input data, then its output is the future road state. In this study, a deterioration model was developed (for the Baghdad-Kut road project) using Markov chains to improve decision makers' ability to make decisions and to implement them in the annual government plan.
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