The functionality and operational flexibility of public transport systems strongly depend on Intermodal Transport Control Systems (ITCS), which is the key management element in public transport systems. However, the increasing number of new functions, multimodality, dynamic change and unforeseen situations give rise to the issue of static user interfaces in the control center becoming an impediment. Research in the frame of the project IADAPT on adaptive user interfaces in control center environments of public transport [1] is therefore carried out. The aim is to research and develop a new generation of interactive control center systems of this ubiquitous system that react and adapt to users and situations as well as recommending measures and offering prognoses by artificial intelligence (AI). This requires both technology and models for the adaptation of the system (‘adaptivity’), and the implementation of user-centered methods, some of which require radical reconsideration for such adaptive user interfaces. This paper is essential for the development of an adaptive system, as it deals with a context model as a definition of the semantic nature of the system. For that, seven steps were used to develop an ontology with appropriate context factors.