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Bayes估计理论在交通流检测中的应用
引用本文:高林学,李战明,李宇.Bayes估计理论在交通流检测中的应用[J].兰州理工大学学报,2008,34(1):95-97.
作者姓名:高林学  李战明  李宇
作者单位:兰州理工大学,电气工程与信息学院,甘肃,兰州,730050
基金项目:甘肃省自然科学基金(3ZS051-A25-033)
摘    要:运用Bayes估计的基本思想,在已知先验概率的情况下,对交通顺畅时车辆和交通拥挤时车辆的分布情况进行估计,并对某条马路的连续100个周期进行观测的数据进行仿真.仿真结果证明,估计的车辆数与实际车辆数的分布情况基本相同,准确度比较高,运行速度较快,可以用于实时检测.

关 键 词:交通流检测  Bayes估计  二项式分布  泊松分布
文章编号:1673-5196(2008)01-0095-03
收稿时间:2007-07-12
修稿时间:2007年7月12日

Application of Bayes estimation theory in traffic flow detection
GAO Lin-xue,LI Zhan-ming,LI Yu.Application of Bayes estimation theory in traffic flow detection[J].Journal of Lanzhou University of Technology,2008,34(1):95-97.
Authors:GAO Lin-xue  LI Zhan-ming  LI Yu
Abstract:The volume distribution of vehicles was estimated by applying the basic idea of Bayes estimation under the situation of smooth traffic and crowded traffic when the prior distribution probability was known. A simulation was conducted for the vehicle volume detection during one hundred continuous circles on a road.The result of simulation showed that the estimated volume of vehicles was very close to that of actual volume,the accuracy being higher.The speed of estimation operation was also higher,so that it could be applied in real-time detection.
Keywords:traffic flow detection  Bayes estimation  binomial distribution  Poisson distribution
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