Method for recognizing disruptions in road traffic

Communications: electrical – Vehicle detectors – Density

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340933, 340936, 364436, G08G 101

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active

056844751

ABSTRACT:
In a method for recognizing disruptions in road traffic within a road sector that is to be monitored at respective measurement cross-sections at the beginning and at the end of the sector, the number and the speed of the vehicles passing through the measurement cross-sections are continuously acquired as measured data, which are collected and compiled cyclically during finite measurement intervals to provide average values of the traffic flow and the speed, and are then evaluated. Each measurement cross-section thereby encompasses all lanes of traffic that can be used in one direction of travel. In order to recognize disruptions in road traffic, independent of the traffic condition and with the smallest possible loss in time and low investment in data processing, a prognosis value of the traffic flow for the vehicles passing through the end of the road sector is calculated cyclically from the average values determined for the beginning of the road sector, taking into consideration the length of the road sector and an assumption about the driving behavior of the detected vehicles. Describable uncertainties arising in determining the prognosis value are taken into consideration by fuzzy modeling. The prognosis value is compared with the average value of the traffic flow at the end of the road sector determined from the measured data acquired at the measurement cross-section at the end of the road sector and the respective difference in traffic flow is determined cyclically. A cycle-spanning summation of the values of the difference in traffic flow is carried out and the number of the additional vehicles remaining in the road sector to be monitored is continuously determined.

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F. Busch et al., Siemens "Automatische Storfallerkennung auf Autobahnen mit Hilfe von Fuzzy-Logik", 8 pages.
P. Bohnke, "A System for Automatic Incident Detection and Management" Proceedings ISATA, 28th International Symposium, Stuttgart, Sep. 1995, 8 pages.

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