Time-dependent information about traffic states in road networks is an important condition for efficient dynamic traffic assignment. In this contribution a concept for online simulations of urban road networks is developed: Real-time traffic data stemming from induction loops serve as input for microscopic simulations. By running the simulatin traffic conditions are estimated for regions which are not adequately covered by measurements. The quality of the reproduced traffic states with regard to vehicular densities and link travel times are investigated. The dynamic data are processed by a route guidance system based on a fuzzy logic approach. As an example for dynamic traffic management different strategies for individual en-route guidance systems and their efficiencies are studied. For all investigations the real road network of Duisburg served as study area.
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