Forecasting of Traffic Congestion

B. S. Kerner, H. Rehborn and M. Aleksic
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B. S. Kerner: DaimlerChrysler AG
H. Rehborn: DaimlerChrysler AG
M. Aleksic: DaimlerChrysler AG

A chapter in Traffic and Granular Flow ’99, 2000, pp 339-344 from Springer

Abstract: 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.

Keywords: Traffic Flow; Traffic Data; Traffic Congestion; Detection Site; Traffic Forecast (search for similar items in EconPapers)
Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-59751-0_32

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DOI: 10.1007/978-3-642-59751-0_32

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