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Methods for Automatic Tracing and Forecasting of Spatial-Temporal Congested Patterns: A Review

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Human Behaviour and Traffic Networks

Abstract

A review of an application of the models ASDA and FOTO for reconstruction, tracing and forecasting, of spatial-temporal congested patterns on highways based on local traffic measurements proposed in 1996–1999 is presented. Some non-linear features of spatial-temporal congested patterns which are linked with the individual driver behaviour are considered. The model ASDA (Automatische Staudynamikanalyse: Automatic Tracing of Moving Traffic Jams) is devoted to the tracing and prediction of the propagation of moving traffic jams. The model FOTO (Forecasting of Traffic Objects) is devoted to the identification of traffic phases “synchronized flow” and “wide moving jam” and to the tracing and prediction of the patterns of “synchronized flow”. A short introduction to the three-phase traffic theory by Kerner as the basis of the models ASDA and FOTO is made. It is stressed that the models ASDA and FOTO perform without any validation of model parameters in different environmental and traffic conditions. First results of the application of ASDA and FOTO for the online automatic tracing of traffic flow patterns at the TCC (Traffic Control Center) Rödelheim near Frankfurt (Germany) are discussed.

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Kerner, B.S., Rehborn, H., Aleksic, M., Haug, A. (2004). Methods for Automatic Tracing and Forecasting of Spatial-Temporal Congested Patterns: A Review. In: Schreckenberg, M., Selten, R. (eds) Human Behaviour and Traffic Networks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07809-9_11

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  • DOI: https://doi.org/10.1007/978-3-662-07809-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05950-6

  • Online ISBN: 978-3-662-07809-9

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