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。
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.
出处
《电脑与信息技术》
2011年第3期21-23,31,共4页
Computer and Information Technology
关键词
交通安全
交通事件
贝叶斯网络
预测
traffic safety
traffic incident
Bayesian network
prediction
