Dynamic estimation of freeway origin-destination demand and travel time using extended kalman filtering algorithm
學年 92
學期 2
發表日期 2004-03-21
作品名稱 Dynamic estimation of freeway origin-destination demand and travel time using extended kalman filtering algorithm
作品名稱(其他語言)
著者 Hu, Shou-Ren; Chen, Chi-Bang
作品所屬單位 淡江大學運輸管理學系
出版者 IEEE
會議名稱 Networking, Sensing and Control, 2004 IEEE International Conference on
會議地點 Taipei, Taiwan
摘要 In the present research, a nonlinear Kalman filtering approach, i.e., extended Kalman filter (EKF) was proposed to solve dynamic OD flows and travel times on a freeway segment. The non-linearity results from the facts that the coefficient matrices in the measurement equation of the Kalman filtering framework are unknown in advance and needed to be obtained/updated in light of the most recent observations. The numerical results demonstrated the capability of the proposed EKF model in the dynamic estimation of freeway OD demands and travel times. More significantly, one can design beneficial traffic control and management strategies in accordance with the estimation results.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20040321~20040324
通訊作者
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 Networking, Sensing and Control, 2004 IEEE International Conference on Vol.2, pp.1329-1334
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/22505 )

機構典藏連結