Research on Model and Algorithm About Origin-Destination Matrix Estimation of Urban Road

Abstract:

Considering the complexity of traffic on urban road, the network topology was formulated.In order to make better use of the multisource data, the absorbing Markov process theory was employed to network.Then the model which connected the parameters, such as traffic counts, traffic producing and absorbing, was formulated.A simulation system was established to illustrate the model.In this system, the multisource data, such as traffic counts and steering ratio, were collected by the detectors.After data processing, the Markov transition probability matrix is obtained, which can be imported into the MATLAB as sparse matrix.The outputs of the model show that the traffic volumes can be calculated accurately.

Key words:urban road; OD estimation; intelligent transportation system; absorbing Markov process