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最大熵原理在交通流统计分布模型中的应用
Maximum Entropy Method and It’s Application in Probability Density Function of Traffic Flow
【摘要】 交通流统计分布函数的形式具有多样性 ,选择把数据套到一个适合的分布上去常常是困难的。为此 ,寻求一种简便的产生概率密度函数的统一方法是十分必要的。运用最大熵原理不仅导出了几个科学实践中常见的概率分布密度函数 ,而且在分析物理学中已有的导出公式的基础上给出了交通工程实践中产生概率密度函数的统一方法及其实用的数值算法。理论例题仿真与实例计算验证表明该方法和程序是合理有效的
【Abstract】 Probability density function of traffic flow varies with different survey data.It is difficult to find a probability density function fitting for all kinds of traffic survey data.So to get an ordinary generating method of probability density function is greatly important for traffic researcher and engineer. The authors analyze the problem from the view of maximum entropy principle,work out six probability density function which often appear in traffic practice,and derive a formula and it’s practical algorithm from physicist’s achievement.The method and program are proven to be really effective in theoretical simulation and practice examination.
【Key words】 maximum entropy method; traffic flow; probability density function;
- 【文献出处】 交通运输工程学报 ,Journal of Traffic and Transportation Engineering , 编辑部邮箱 ,2001年03期
- 【分类号】U491.112
- 【被引频次】91
- 【下载频次】939