期刊論文

學年 89
學期 1
出版(發表)日期 2001-01-01
作品名稱 Estimation of Dynamic Assignment Matrices and OD Demands Using Adaptive Kalman Filtering
作品名稱(其他語言)
著者 胡守任; Hu, Shou-ren; Madanat, S. M.; Krogmeier, J. V.; Peeta, S.
單位 淡江大學運輸管理學系
出版者 Taylor & Francis
著錄名稱、卷期、頁數 Journal of Intelligent Transportation Systems 6(3), pp.281-300
摘要 The purpose of this research was to develop a dynamic model for the on-line estimation and prediction of freeway users’ origin-destination (OD) matrices. In this paper, we present a Kalman Filtering algorithm that uses time-varying assignment matrices generated by using a mesoscopic traffic simulator. The use of a traffic simulator to predict time-varying travel time model parameters was shown to be promising for the determination of dynamic OD matrices for a freeway system. Moreover, the issues of using time-varying model parameters, effects of incorporating different sources of measurements and the use of adaptive estimation are addressed and investigated in this research.
關鍵字 Adaptive niters;Kalman Filtering;Optimal estimation;Origin-destination demands;Traffic simulator
語言 en
ISSN 1547-2450
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20551 )

機構典藏連結