Given link flow data from an uncongested network over a number of time periods, the
problem of estimating the origin–destination (O–D) traffic intensities is considered. A …

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 …

Conventional methods for estimating origin-destination (OD) trip matrices from link traffic
counts assume that route choice proportions are given constants. In a network with realistic …

Estimation of origin–destination (O–D) matrices from link count data is considered. This
problem is challenging because the number of parameters to be estimated is typically larger …

This paper concerns inference about an origin–destination (O–D) matrix from a single
observation on a set of network link flows. Two problems in this area have received …

Statistical models for the estimation of Origin–Destination (OD) matrix from traffic counts that
consider explicitly the presence of randomness in the link choice proportions have been …

In this paper, a model is described that will under certain circumstances yield the most likely
origin-destination matrix which is consistent with measurements of link traffic volumes. Given …

A procedure for the simultaneous estimation of an origin–destination (OD) matrix and link
choice proportions from OD survey data and traffic counts for congested network is proposed …

Estimation of origin–destination (OD) matrices from link count data is a challenging problem
because of the highly indeterminate relationship between the observations and the latent …

Estimating origin-destination trip matrices from link traffic counts has been a subject of
substantial research. It is well known that the accuracy of the resulting estimated origin …