Abstract
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.
Original language | English (US) |
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Pages (from-to) | 281-300 |
Number of pages | 20 |
Journal | ITS Journal |
Volume | 6 |
Issue number | 3 |
State | Published - 2001 |
Keywords
- Adaptive filters
- Kalman Filtering
- Optimal estimation
- Origin-destination demands
- Traffic simulator
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Strategy and Management
- Management Science and Operations Research