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.
|Number of pages||20|
|Publication status||Published - 2001 Dec 1|
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Mechanical Engineering
- Strategy and Management
- Management Science and Operations Research