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基于贝叶斯网络理论的交通事件预测模型
引用本文:赵雁,王宏刚.基于贝叶斯网络理论的交通事件预测模型[J].电脑与信息技术,2011,19(3):21-23,31.
作者姓名:赵雁  王宏刚
作者单位:太原科技大学电子信息工程学院;
摘    要:在综合考虑影响交通安全因素的基础上,采用贝叶斯网络理论,提出了一种交通事件预测模型。在模型的基础上提出基于贝叶斯法则的学习算法,并通过计算变量间的条件概率来计算各类交通事件发生的可能性,从而达到预测的目的。最后对该模型进行仿真实验,并对实验结果进行了分析,验证了模型的有效性。

关 键 词:交通安全  交通事件  贝叶斯网络  预测

Traffic Incident Forecast Model Based on Bayesian Network
ZHAO Yan,WANG Hong-gang.Traffic Incident Forecast Model Based on Bayesian Network[J].Computer and Information Technology,2011,19(3):21-23,31.
Authors:ZHAO Yan  WANG Hong-gang
Affiliation:ZHAO Yan,WANG Hong-gang(School of Electronic and Information Engineering,Taiyuan University of Science and Technology,Taiyuan 034200,China)
Abstract:Through considering the factors which affect traffic safty,using bayesian networks theory,a traffic incident forecast model is presented in this paper.A Bayesian rule based learning algorithm is present and the traffic incident possibility is calculated through computing the condition probability among these variables,in order to predicate the traffic incident.In the end,its validity is verified using siulation technology.
Keywords:traffic safety  traffic incident  Bayesian network  prediction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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