ESTIMATING AN ORIGIN-DESTINATION TABLE USING A METHOD BASED ON SHORTEST AUGMENTING PATHS

The most well-known origin-destination estimation methods involve entr opy maximization or information minimization. However, these methods o ften require much more information than is available in reliable form, namely, target trip tables and the extent to which each origin-destin ation path uses each link. In this paper, a second version of the Shor test Augmenting Path Estimation method (SHAPE-2) is introduced, in whi ch target trip tables and path use proportions arc not required. In te sts to date, SHAPE-2 has produced good results. It has demonstrated go od sensitivity to changes in link loadings on small test networks and, on a real network of special interest to the authors, it performed be tter than any method previously applied.