Untersuchung des Zusammenhanges von Reisezeiten und Querschnittzähldaten im untergeordneten Straßennetz

Sabine Huemer

Research output: ThesisMaster's Thesis


Abstract In many Austrian regions the subordinate road network plays an important role. There is, however, presently almost no traffic information available for roads of this category. Due to the heterogeneity of such roadways a prognosis of overall journey time from cross section count data, as is often done on the superior network, is difficult. In the course of a project conducted at arsenal research the traffic situation of a section of the B20, the "Mariazeller Bundesstraße", was analyzed. Overall journey time was calculated based on automatic number plate recognition, while simultaneously retrieving cross section count data with radar sensors at the starting and end point of the stretch respectively. The mainpart of this study is dedicated to the analysis of the impact of different traffic and non-traffic related data on the journey times. Based on capacity restraint functions a model for calculating overall journey time from cross section count data as well as from non-traffic related data (e.g. weather data) was developed. It was found that the traffic volume detected at the cross section had the biggest influence on the journey time of the about 14 km long stretch. The model could forecast the average journey time quite well, the high variance of the data (delays higher than five minutes), however, not. This study can be seen as an important basis in the direction of an integral image of the traffic situation that supplies traffic information on and predictions for different categories of roads.
Original languageGerman
Awarding Institution
  • University of Natural Resources and Life Sciences Vienna (BOKU)
  • Maurer, Peter, Supervisor
  • Aleksa, Michael, Supervisor
  • Sammer, Gerd, Supervisor, External person
  • Mensik, Karl, Supervisor, External person
Publication statusPublished - 2008

Research Field

  • Former Research Field - Mobility Systems


  • ANPR Automatic Number Plate Recognition

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