Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

A framework for calibrating PTV VISSIM microscopic simulation model for the selected corridors in Cairo is developed. The calibration process is based on estimating appropriate PTV VISSIM driving behavior parameters values given measurable traffic indicators from the field. First, build a microscopic simulation model. Second, identify the significant driving behavior parameters by using ANOVA single factor. Third, the Genetic Algorithm (GA) is used to calibrate the significant parameters. Prediction procedure could successfully predict traffic flow and average travel time along network links with a correlation coefficient of (R2= 0.98, 0.99, and 0.99 for Autostrad, Imtedaad Ramses, and El Mosheer, Respectively) and define the final calibrated values of the significant parameters. Finally, the validation is applied on Salah Salem corridor model at AM and PM peak shows the validation process of the final calibrated parameters is successful and leads to a good result for traffic flow and the correlation between field and simulated travel time (R2 = 0.84 and 0.843 at AM peak and PM peak, receptively)

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