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Bayes估计理论在交通流检测中的应用
Application of Bayes estimation theory in traffic flow detection
【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.
【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.
【关键词】 交通流检测;
Bayes估计;
二项式分布;
泊松分布;
【Key words】 traffic flow detection; Bayes estimation; binomial distribution; Poisson distribution;
【Key words】 traffic flow detection; Bayes estimation; binomial distribution; Poisson distribution;
【基金】 甘肃省自然科学基金(3ZS051-A25-033)
- 【文献出处】 兰州理工大学学报 ,Journal of Lanzhou University of Technology , 编辑部邮箱 ,2008年01期
- 【分类号】U495
- 【被引频次】5
- 【下载频次】207