Ein Beitrag zur videobasierten Verkehrszustandsidentifikation

The presented work wants to contribute a new solution based on the analysis of stochastic signals. On the basis of the Dresden Live-Camera-System which is providing real-time information about the traffic state on 31 focal points (March 2005) one is able to use a wide range of image types under different and severe conditions. The method is based on the analysis of stochastic signals derived from the live-camra images. These signals are analyzed with cross-correlation, amplitude- and frequency filters. The resulting data enable the distinction of stable and non-stable traffic flow and the automated identification of traffic congestion. Moreover fundamental diagrams are calculated.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Technische Universität Dresden

Year

2005

Author dc:creator

• Döge, Klaus-Peter

Contributors dc:contributor

• Strobel, Horst
• Maier, R.
• Krimmling, J.
• Wernstedt, J.

• Analyse stochastischer Prozesse
• Tag- und Nachtbildauswertung
• mittlere räumliche Verkehrsstromgeschwindigkeit
• day and night image processing
• stochastic process