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.
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.
出处
《兰州理工大学学报》
CAS
北大核心
2008年第1期95-97,共3页
Journal of Lanzhou University of Technology
基金
甘肃省自然科学基金(3ZS051-A25-033)
关键词
交通流检测
BAYES估计
二项式分布
泊松分布
traffic flow detection
Bayes estimation
binomial distribution
Poisson distribution
