O-D estimation

I found a paper on O-D estimation called:

'Statistical inference for time-varying origin-destination matrices'

by Martin Hazelton, which is currently in press in Transportation Research Part B. The paper investigates the estimation method of "day-to-day" OD matrix using link count data (different Kwon and Varaiya's approach which used 'fastrak tagging data'). The O-D matrix is parameterized and determined using a Bayesian appraoch. The core idea of their underlying Bayesian appraoch is quite similar to the 'matching alogrithm' (the 'f' and 'g' things ..) that Pravin presented last Friday.

Although we are more interested in 'within-day' O-D, it may still be useful to see what we may learn from their work.

You can download the paper from the journal website or I can send you a copy if you are interested.