The use of statistical modeling in the estimation of Oringin-Desityation (OD) matrix from trafinc counts is ceviewed In particular modets that consider explicitly the pres-ence of measurement and sampling erors in the observed link fiows are discussed This paper proposes treating the link choice proprtion as random variablcs Accordingly. new statistical models are fomulated and the corresponding Maximum Likelihood Estimator and Bayesiac Estimator of the OD matrix are developed The accuracids of these estimators are compared with those obtainc by prvious mcthods Copyright

Statistical models for the estimation of Origin-Destination (OD) matrix from trac counts that consider explicitly the presence of randomness in the link choice proportions have been developed recently. These models are more receptive to the-uctuations in the observations due to measurement errors and temporal variations and they can make better use of tra