Dynamic estimation of freeway origin-destination demand and travel time using extended Kalman filtering algorithm

Shou Ren Hu, Chi Bang Chen

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

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.

原文English
主出版物標題Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
頁面1329-1334
頁數6
出版狀態Published - 2004
事件Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan
持續時間: 2004 三月 212004 三月 23

出版系列

名字Conference Proceeding - IEEE International Conference on Networking, Sensing and Control
2

Other

OtherConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
國家/地區Taiwan
城市Taipei
期間04-03-2104-03-23

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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