Estimation of dynamic assignment matrices and OD demands using adaptive Kalman filtering

Shou Ren Hu, Samer M. Madanat, James V. Krogmeier, Srinivas Peeta

研究成果: Article同行評審

18 引文 斯高帕斯(Scopus)

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.

原文English
頁(從 - 到)281-300
頁數20
期刊ITS Journal
6
發行號3
出版狀態Published - 2001 12月 1

All Science Journal Classification (ASJC) codes

  • 汽車工程
  • 機械工業
  • 策略與管理
  • 管理科學與經營研究

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