Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

J. Asamer, B. Heilmann:
"Detection of Faulty Flow Measurements Based on Queuing Models and Measured Delays at Intersections";
Vortrag: Intelligent Transportation Systems Confrence 2013, Den Haag; 06.10.2013 - 09.10.2013; in: "2013 16th International IEEE Conference on Intelligent Transportation Systems", IEEE ITS Society (Hrg.); (2013), 6 Seiten.

Results of a case study for two signalized intersections
in the Viennese intraurban road network have shown that
detectors delivering artificially introduced faulty flow measurements
can be detected. The method compares the theoretical
delay distribution based on a deterministic queuing model to the
empirical delay distribution of measured flow and speed values.
A prerequisite is that the measurements at the intersection cover
both under- and over-saturated traffic situations. The described
method can detect several types of errors, namely overcount,
undercount and Gaussian noise errors. The sensitivity of the
method depends on the intensity of the error, i.e. relative error
and standard deviation. As the method has achieved good
results for artificially introduced errors, similar errors in real
data will also be detected, since the investigated error types are
typical for urban flow measurements.

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.