Trip matrix estimation from link traffic counts: The congested network case
This paper examines different formulations for estimating trip matrices on congested networks from link traffic count data. It is shown that several existing approaches can be expected to produce the same results when observed counts constitute a user optimal link flow pattern. This has important practical implications because of the computational difficulties associated with some of the formulations.