The present work focuses on procedures for calibrating and adjusting four-steps traffic models so as to replicate existing data. Calibration is used to adjust parameter values until predicted travel matches observed travel demand levels in the study area. A major shortcoming of many travel demand models is the lack of attention and effort placed on the validation phase of model development. Validation involves testing the model's predictive capabilities. Travel models need to be able to replicate observed conditions within reason before being used to produce future-year forecasts. As urban areas continue to refine and improve the travel demand forecasting process, the credibility of the process with decision makers will depend largely on the ability of analysts to properly validate procedures and model used. I
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