Data Management

Data

Data are central to railway applications. Data must be stored, loaded, processed and displayed efficiently. Data have a long lifetime exceeding those of many applications. The results of an applications are only as good as the quality of the underlying data. Modern software techniques can help to keep data quality high over a long period of time.

Algorithms and Data Structures

Algorithms compute new results out of existing data. Many fascinating algorithms take a long time to finish, determined by the complexity of the underlying problem. To produce results nevertheless, algorithms and data structures must collaborate harmonically.

trafIT specializes in the efficient handling of big data and in mathematical optimization. All employees are members of the International Association of Railway Operations Research, the latest doctoral thesis is by Sabrina Herrigel about Algorithmic decision support for the construction of periodic railway timetables.

User Interaction

It is a great challenge to manage large databases and allow users to access relevant data efficiently.

Interfaces

Nowadays, a software product cannot be regarded in isolation. It is almost always part of a system landscape. To obtain optimal benefit, the components must exchange their data over interfaces. Key is to choose the right protocols, syntax and semantics. As development partner of the railML-Initiative trafIT solutions is an active user of industry standards for an efficient use of interfaces.

For the development of individual software solutions, we use our own components.