Abstract
Adaptive online traffic control in urban road networks requires information on the present and future traffic state. This information needs to be as complete and precise as possible. This paper introduces on the one hand a new method for online queue length determination based on data fusion technique (Mueck, 2002) and investigates on the other hand the performance gains that can be achieved employing this determination module as a quasi measurement with Kalman filtering technique in queuing theory models (e. g. Markovian chains). Both, the theoretical approach of the respective models as well as the results of simulation studies are presented.
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