Traffic data detection using artificial intelligence techniques.

Auteur(s)
Kühne, R.D.
Jaar
Samenvatting

The author describes the use of section-related data detection for incident and queue detection applications. Obtaining section-related traffic data is based on the idea of deriving a feature sequence from the vehicle series detected by a local measurement stations. Detuning curves are used to characterise individual vehicles and artificial intelligence techniques applied to produce individual feature vectors. A comparison of data from neighbouring stations reveals the occurrence of incidents and their severity. The use of the technique on a motorway between Stuttgart and Waiblingen is described.

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Publicatie

Bibliotheeknummer
C 20727 (In: C 20695) /73 / IRRD 866060
Uitgave

In: Traffic technology international '94, p. 160-162, 3 ref.

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