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B4 Analysis and Communication for dynamic traffic prognosis


Prof. Dr.-Ing. Christan Wietfeld
Prof. Dr. Michael Schreckenberg
This project aims at high precision and real time prognosis algorithms to predict object stream behaviour. The quality of the prognosis depends on the quantity, quality and reliability plus synchronicity of the available information on representative objects in the stream. In consideration of the avaiability of the multitude of sensor data sources as well as resource starved embedded systems, this sub-project also explores novel data aggregation, fusion and communication methods with respect to the requirements set by the prognosis, and evaluates the expected benefits.

Publications