This paper presents an enhanced Kalman Filtering algorithm for the dynamic estimation and prediction of freeway OD matrices. The effects of traffic congestion and traffic diversion information on the OD distribution patterns are explicitly captured through a behavioral model of route switching. In view of time-varying nature of traffic movements, 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 of dynamic OD demands.
|Number of pages||6|
|State||Published - 1 Jan 1996|
|Event||Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering - Capri, Italy|
Duration: 27 Jun 1995 → 30 Jun 1995
|Conference||Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering|
|Period||27/06/95 → 30/06/95|