A review of methods for dynamic traffic forecasting which have recently been developed by Daimler Chrysler AG is presented. In particular, some more models for tracing and forecasting of congested spatial-temporal patterns on highways will be considered. These models ASDA (Automatische Staudynamikanlyse or Automatic tracing of Moving Traffic Jams) and FOTO (Forecasting OF Traffic Objects) allow us to trace and to predict macroscopic spatial-temporal properties of the traffic patterns without any validation of model parameters at different infrastructure, weather and other environmental conditions. Results of the on-line application of these models are shortly discussed. A macroscopic model for dynamic forecast of traffic in urban areas is presented. This model allows us to predict macroscopic characteristics of traffic such as queue lengths at light signals and link travel times. The calculation time of the model can be several thousand times shorter than the one of microscopic traffic models.


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