Some comments on origin–destination matrix estimation
Transportation Research Part A Policy and PracticePublished 16 July 2003
Martin L. Hazelton
Citations88
SJR quartileQ1
SJR score2.12
SNIP2.15
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TL;DR
The use of second-order statistical properties of the data in O-D matrix estimation is explored, and a class of estimators proposed, and some avenues for future research outlined.
Abstract
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 than the number of network links. As a result, it is (usually) impossible to identify a unique optimal estimate of the O–D matrix from mean link traffic counts. However, information from the covariance matrix of link count data collected over a sequence of days can relieve this problem of indeterminacy. This fact is illustrated through a simple example. The use of second-order statistical properties of the data in O–D matrix estimation is then explored, and a class of estimators proposed. Practical problems of model mis-specification are discussed and some avenues for future research outlined.
Keywords
Social SciencesPhysics and Astronomy
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