TY - JOUR
T1 - Estimation of an origin-destination matrix with random link choice proportions: A statistical approach
AU - Lo, H. P.
AU - Zhang, N.
AU - Lam, Hing Keung William
PY - 1996/1/1
Y1 - 1996/1/1
N2 - The use of statistical modeling in the estimation of Origin-Destination (OD) matrix from traffic counts is reviewed. In particular, statistical models that consider explicitly the presence of measurement and sampling errors in the observed link flows are discussed. This paper proposes treating the link choice proportions as random variables. Accordingly, new statistical models are formulated and the corresponding Maximum Likelihood Estimator and Bayesian Estimator of the OD matrix are developed. The accuracies of these estimators are compared with those obtained by previous methods.
AB - The use of statistical modeling in the estimation of Origin-Destination (OD) matrix from traffic counts is reviewed. In particular, statistical models that consider explicitly the presence of measurement and sampling errors in the observed link flows are discussed. This paper proposes treating the link choice proportions as random variables. Accordingly, new statistical models are formulated and the corresponding Maximum Likelihood Estimator and Bayesian Estimator of the OD matrix are developed. The accuracies of these estimators are compared with those obtained by previous methods.
UR - http://www.scopus.com/inward/record.url?scp=0030304857&partnerID=8YFLogxK
U2 - 10.1016/0191-2615(95)00036-4
DO - 10.1016/0191-2615(95)00036-4
M3 - Journal article
VL - 30
SP - 309
EP - 324
JO - Transportation Research, Series B: Methodological
JF - Transportation Research, Series B: Methodological
SN - 0191-2615
IS - 4 PART B
ER -