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Forecasting of Traffic Congestion

In: Traffic and Granular Flow ’99

Author

Listed:
  • B. S. Kerner

    (DaimlerChrysler AG)

  • H. Rehborn

    (DaimlerChrysler AG)

  • M. Aleksic

    (DaimlerChrysler AG)

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.

Suggested Citation

  • B. S. Kerner & H. Rehborn & M. Aleksic, 2000. "Forecasting of Traffic Congestion," Springer Books, in: Dirk Helbing & Hans J. Herrmann & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow ’99, pages 339-344, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-59751-0_32
    DOI: 10.1007/978-3-642-59751-0_32
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