The aim of this master’s thesis is to analyze the influence of weather conditions (e.g., precipitation, temperature, wind speed) on bicycle traffic in various urban areas and to develop a predictive model for bicycle traffic volumes. The focus is on how weather parameters affect bicycle traffic and to what extent this effect varies depending on the urban area (e.g., downtown, residential areas, major traffic corridors). The thesis aims to provide a better understanding of the interactions between weather and bicycle traffic and to derive practical recommendations for traffic planning.
As part of the thesis, the student will analyze available data from bicycle counting stations in a selected city. In addition, weather data will be collected and linked to the counting station data to develop and validate a prediction model.

The thesis includes:

- a literature review on the effects of weather on bicycle traffic and modeling approaches,
- the collection, preparation, and analysis of counting station data,
- the collection and preprocessing of weather data,
- the development and validation of a prediction model for bicycle volumes based on weather data,
- a qualitative analysis of the counting station locations and location-dependent differences in the influence of weather on bicycle traffic,
- a discussion of the results with a view to recommendations for action in traffic planning.

To what extent do weather conditions influence cycling volumes at different counting parts of a city?

Fundamental Research