Some comments on origin-destination matrix estimation

Martin L. Hazelton

Transportation Research Part A: Policy and Practice, 2003, vol. 37, issue 10, 811-822

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.

Date: 2003
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