基于马尔可夫排队论的上高峰阈值策略的研究  

Markov queuing theory based threshold strategy during uppeak traffic

作　　者：宗群[1] 李爱国[1] 王振世[1] 

机构地区：[1]天津大学电气与自动化工程学院,300072

出　　处：《起重运输机械》2003年第12期17-21,共5页Hoisting and Conveying Machinery

基　　金：天津市自然科学基金重点基金资助项目(99380 1 2 1 1 )

摘　　要：电梯随机服务系统中的上高峰时期 ,进行阈值研究 ,有利于减少乘客的候梯时间和电梯的的停车次数。阈值是在高峰期的情况下电梯在门厅的停留策略 ,也即电梯每次服务的最小乘客数。利用马尔可夫排队论来求取阈值 ,并研究阈值随着乘客到达率增加而变化的规律 ,在确定好使用分区还是不分区的调度策略之后 ,再加上阈值策略 ,在群控系统中会取得很好的调度效果。仿真试验证明了该方法的有效性。Studying threshold during uppeak traffic in elevator stochastic service system contributes to reduce in passenger waiting time and stopping times.Threshold refers to elevator's stopping strategies during uppeak traffic,i e the least passenger number that elevator serves each time.Markov Queuing Theory is applied to work out threshold and find the rule that the threshold changes with passenger's arrival rate.Using zoning or non zoning dispatching strategies and threshold strategy will get good effects in elevator group control systems.Simulation shows that the method presented in this paper is effective.

关 键 词：电梯 群控系统 上高峰 马尔可夫排队论 阈值 随机服务系统 

分 类 号：TU976.3[建筑科学]