01049603

Component

https://doi.org/10.3141/2012-11

http://scholar.google.com...ndru&publication_year=2007

Freeway traffic surveillance systems currently collect large amounts of traffic data, sometimes a few gigabytes per day, to support various critical traffic management center functions such as incident detection, travel time and delay estimation, and congestion management. Reliable traffic information, however, requires applying quality control measures to the collected traffic data before archiving, dissemination to the public, or use in relevant applications. This paper presents a probabilistic data-driven methodology for real-time screening of freeway loop detector data. Two complementary approaches were developed to detect abrupt temporal changes in the traffic parameters, as well as possible inconsistencies among each pair of the three traffic parameters. A real-time data screening algorithm was devised to operate in three steps. An illustrative example is presented to explain how the algorithm can be applied to real-time data screening and how observations can be diagnosed for the most likely erroneous parameters.

01084472

English

pp 94-104

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104388

Print

Figures (6) ; References (15) ; Tables (6)

Advanced traffic management systems; Algorithms; Congestion management systems; Freeways; Quality control; Real time information; Traffic congestion; Traffic control centers; Traffic data; Traffic delays; Traffic surveillance

Data screening

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Feb 8 2007 5:14PM

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