The interrupted poisson process as an overflow process

A. Kuczura
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引用次数: 301

Abstract

Traffic overflowing a first-choice trunk group can be approximated accurately by a simple renewal process called an interrupted Poisson process–a Poisson process which is alternately turned on for an exponentially distributed time and then turned off for another (independent) exponentially distributed time. The approximation is obtained by matching either the first two or three moments of an interrupted Poisson process to those of an overflow process. Numerical investigation of errors in the approximation and subsequent experience has shown that this method of generating overflow traffic is accurate and very useful in both simulations and analyses of traffic systems.
作为溢出过程的中断泊松过程
首选干线群的流量溢出可以用一个简单的更新过程来精确地估计,这个过程被称为中断泊松过程——泊松过程交替地在一个指数分布的时间内开启,然后在另一个(独立的)指数分布的时间内关闭。该近似是通过将中断泊松过程的前两个或三个矩与溢出过程的前两个或三个矩相匹配而得到的。数值研究的误差和后续的经验表明,这种方法产生的溢出交通是准确的,在交通系统的模拟和分析中都是非常有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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