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Dynamic Estimation and Prediction of Freeway O-D Matrices with Route Switching Considerations and Time-Dependent Model Parameters
- Source :
- Transportation Research Record; January 1996, Vol. 1537 Issue: 1 p98-105, 8p
- Publication Year :
- 1996
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 03611981 and 21694052
- Volume :
- 1537
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Transportation Research Record
- Publication Type :
- Periodical
- Accession number :
- ejs46196347
- Full Text :
- https://doi.org/10.1177/0361198196153700114