Dynamic estimation and prediction of freeway O-D matrices with route switching considerations and time-dependent model parameters

Samer M. Madanat*, Shou-Ren Hu, James V. Krogmeier

*Corresponding author for this work

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)

摘要

An enhanced Kalman Filtering algorithm for the dynamic estimation and prediction of freeway origin-and-destination (O-D) matrices is presented. The effects of traffic congestion and traffic diversion information on the O-D distribution pattern are explicitly captured through a behavioral model of route switching. Moreover, in view of the time-varying nature of traffic variables, 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 and prediction of dynamic freeway O-D demands.

原文English
頁(從 - 到)98-105
頁數8
期刊Transportation Research Record
發行號1537
DOIs
出版狀態Published - 1 一月 1996

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