计算机工程与应用Issue(5)：247-251,5.DOI:10.3778/j.issn.1002-8331.1204-0456
适应交通流演化的伽马分布形状参数估计
Estimation of gamma distribution shape parameter adapting to traffic flow evolvement
摘要
Abstract
It is significant to research traffic flow evolvement for the traffic safety implementation. The evolution process of traffic flow is generally classified as quantitative change and qualitative change. Distributions of free, congested and intermittent flow all can be replaced by gamma distribution. So, in this paper, the traffic flow states before and after change-point are confirmed by searching and testing change-point with gamma distribution and change-point testing method. Kolmogorov-Smirnov test method is used to test whether or not the observation data is in line with gamma distribution. Gamma distribution shape parameter adapting to traffic flow evolvement is estimated with maximum likely estimation method in order to explain evolvement directly. The experimental results indicate that studying gamma distribution shape parameter is a favorable way to research traffic flow evolvement.关键词
交通流/伽马分布/柯尔莫哥洛夫-斯米尔诺夫检验/极大似然估计/演化规律Key words
traffic flow/gamma distribution/Kolmogorov-Smirnov test/maximum likely estimation/evolvement分类
交通工程引用本文复制引用
王晓原,张敬磊,马立云..适应交通流演化的伽马分布形状参数估计[J].计算机工程与应用,2014,(5):247-251,5.基金项目
国家自然科学基金（No.61074140）；山东省自然科学基金资助项目（No.ZR2010FM007，No.ZR2011EEM034）；山东理工大学青年教师发展支持计划项目。 （）
