Estimation of Dynamic Assignment Matrices and OD Demands Using Adaptive Kalman Filtering | |
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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 | 否 |
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 ) |