Hung Y.-CMichailidis GChuang S.-C.YING-CHAO HUNG2022-11-112022-11-11201415241904https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897571632&doi=10.1002%2fasmb.1961&partnerID=40&md5=a7cba9cb46870db15aa5ef8a40ec7866https://scholars.lib.ntu.edu.tw/handle/123456789/625025The development of optimal control strategies for many stochastic models relies on the observed traffic intensity. However, implementation of such control strategies is often infeasible because of high operating costs induced by the fluctuations of traffic flows. In this study, we propose a framework for estimating and monitoring the traffic intensities of stochastic systems. The framework does not require knowledge of any input traffic statistics, and it allows us to adaptively estimate the intensity function over time and simultaneously detect its significant changes so that the control strategy can be adjusted accordingly without requiring high operating costs. Finally, a canonical queueing system with various types of input traffic is used to evaluate the effectiveness of the proposed framework. Copyright © 2012 John Wiley & Sons, Ltd.control chart; control policy; EWMA smoother; stochastic systems; traffic intensityCost benefit analysis; Estimation; Operating costs; Stochastic systems; Traffic surveys; Control charts; Control of stochastic systems; Control policy; Control strategies; EWMA smoother; Intensity functions; Optimal control strategy; Traffic intensity; Stochastic control systemsjournal article10.1002/asmb.19612-s2.0-84897571632