About TASI

In our daily work with traffic data, we identified a need for a toolset that would allow us to apply algorithms and methods to different variants of traffic data. At the DLR Institute of Transportation Systems, specifically within the Information Acquisition and Model Design department, we utilize a multitude of sources for traffic data, including (semi-)stationary infrastructure and vehicles, as well as data from research projects such as VVMethod.

Rather than developing algorithms over and over again, we wanted to create a toolset that could be utilized irrespective of the data source and that would enable others to replicate results due to a common and solid foundation. This vision consituted the genesis of our endeavor to develop TASI.

Over the past few years, we have invested a significant amount of time and effort into developing the current stage of TASI. While the primary objective of this public version of TASI is to provide access to the datasets from our Test Beds, our DLR internal version is already equipped with a multitude of functions, algorithms and interfaces around traffic data management, analysis and exchange. We want to make as much as possible readily accessible to others in the future, so that TASI will potentially become a toolkit that others find useful. However, we want to ensure that the code quality is solid, the documentation is helpful and overall the library is in a good shape. Therefore, parts of the DLR internal version will be shipped out continuously in the future.