Abstract: A method for forecasting demand for transportation services. The method includes running a count-to-demand translation module with a processor on a computer system and, with the computer system, receiving a count data for passengers getting on and off a vehicle at each stop along a route. The method includes operating the translation module to determine a demand for pairs of the stops such as origin-destination pairs on the route based on the counts at each stop. The set of count data includes a geographical location associated with each stop as well as the time. The demand found by the translation module is attributed to predefined time periods. In the method, the demand of at least some of the OD pairs of the stops is proportional to the offcounts at the destination one of the stops in the pairs relative to the offcounts in the other destination stops.