Abstract
Results of investigations of a recent method for the automatic tracing of moving traffic jams and of the prediction of time-dependent vehicle trip times are presented using different levels of data inputs. The method is based on the previous findings that moving jams possess some characteristic parameters, i e., the parameters are unique, coherent, predictable and reproducible. Based on available data it is found that the method, which performs without any validation of the parameters of a model under different infrastructures of a highway, weather, etc., can be applied for a reliable forecasting of traffic congestions on a highway.
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Kerner, B.S., Rehborn, H., Aleksic, M. (2000). Forecasting of Traffic Congestion. In: Helbing, D., Herrmann, H.J., Schreckenberg, M., Wolf, D.E. (eds) Traffic and Granular Flow ’99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59751-0_32
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DOI: https://doi.org/10.1007/978-3-642-59751-0_32
Publisher Name: Springer, Berlin, Heidelberg
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