基于复合泊松过程的机场客流量分析  

Analysis of Airport Passenger Flow Quantity Based on Compound Poisson Process

作　　者：冀云[1] 李厚朋[1] 付馨雨[1] 

机构地区：[1]重庆师范大学数学学院,重庆400047

出　　处：《重庆工商大学学报（自然科学版）》2013年第5期9-11,16,共4页Journal of Chongqing Technology and Business University:Natural Science Edition

摘　　要：研究机场在t时间内客流量的数学模型.t时间内航班起降架次为参数为λ的泊松过程,每架次航班所载乘客数形成一族独立同分布随机变量,可将机场客流量看作一个复合泊松过程,以随机过程为基础分析其数字特征,证明其具有平稳独立增量性.This paper studies the mathematical model of an airport in time t, the number of the taking off and landing of planes in time t is regarded as parameter A of Poisson Process, the number of the passengers of every flight forms a class of independent random variables with the same distribution, the flow quantity of airport passengers can be viewed as a compound Poisson Process, its digital characteristics are analyzed based on random process, and its stable and independent incremental characteristics are verified.

关 键 词：机场客流量 复合泊松过程 特征函数 随机分析 

分 类 号：O211[理学—概率论与数理统计]