Abstract
Abstract Some decisions of urban traffic control are based on microscopic traffic flow simulation models. In each application parameters describing locally observed driving behaviour as well as parameters setting up the network have to be adjusted. To reduce the effort needed for calibration and validation this study deals with a parametrization method through image processing. Within the study one image processing system is applied to calibrate parameters of the microscopic traffic flow model of WIEDEMANN. A Simulated Annealing Algorithm is used to match observed and simulated values. Results of the calibration process are outlined using a partially signalized roundabout
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