Estimation of Dynamic Freeway Origin-Destination Matrices with Cell-Based Arrival Distribution Modeling

Abstract

This paper proposed an integrated algorithm, which combined cell transmission model (CTM) with extended Kalman filtering (EKF) to respectively and iteratively estimate the arrival distributions and O-D proportions. A freeway corridor was used to investigate the capability of CTM in replicating traffic dispersion phenomenon. Results showed that CTM can accurately capture the traffic dispersion under various traffic conditions and that the degree of traffic dispersion gets larger as traffic flow increases. To demonstrate the applicability of the proposed algorithm, a case study of Taiwan's freeway was conducted. Results showed that the proposed algorithm can accurately estimate the O-D proportions with rather low RMSE.