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Traffic Accident Mechanism Analysis Based on Bayesian Network A Case Study on Jiaxing Segment of Shanghai-Hangzhou Freeway

机译:基于贝叶斯网络的交通事故机理分析-以沪杭高速公路嘉兴段为例

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This paper firstly uses Matlab to identify the black-spot on Jiaxing segment of Shanghai-Hangzhou Freeway. This identification is based on the principles of cumulative frequency method. Afterwards adaptability of using Bayesian network in accident analysis is argued and fundamental knowledge of it is introduced. Finally, software Netica is employed to establish the topological structure of Bayesian network and sensitivity analysis and accident diagnosis are done with the help of the software as well as the network model. Thus the mechanism of accidents is analyzed.
机译:本文首先利用Matlab识别沪杭高速公路嘉兴路段的黑点。这种识别是基于累积频率法的原理。然后讨论了在事故分析中使用贝叶斯网络的适应性,并介绍了其基础知识。最后,使用Netica软件建立贝叶斯网络的拓扑结构,并借助软件和网络模型完成敏感性分析和事故诊断。因此,分析了事故发生的机理。

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