Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction

Samer Madanat, James Krogmeier, Shou Ren Hu

研究成果: Paper

3 引文 斯高帕斯(Scopus)

摘要

This paper presents an enhanced Kalman Filtering algorithm for the dynamic estimation and prediction of freeway OD matrices. The effects of traffic congestion and traffic diversion information on the OD distribution patterns are explicitly captured through a behavioral model of route switching. In view of time-varying nature of traffic movements, the proposed algorithm updates the model parameters by using on-line traffic measurements. Preliminary simulation results demonstrate the importance of using time-dependent model parameters and accounting for the effect of traffic information in the estimation of dynamic OD demands.

原文English
頁面423-428
頁數6
出版狀態Published - 1996 一月 1
事件Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering - Capri, Italy
持續時間: 1995 六月 271995 六月 30

Other

OtherProceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering
城市Capri, Italy
期間95-06-2795-06-30

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • 引用此

    Madanat, S., Krogmeier, J., & Hu, S. R. (1996). Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction. 423-428. 論文發表於 Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering, Capri, Italy, .