The ODME techniques attempt to improve the accuracy of a “seed” trip matrix based on information from fragmentary data such as traffic counts, surveys, etc. They range from simple proportional fitting to sophisticated Maximum Likelihood and Linear Optimization techniques to estimate the best trip matrix consistent with the observations available and the criteria selected. The ODME process could be an integral component in establishing the baseline demand for a Dynamic Traffic