Big Data technology brings numerous adventages and it is possible to include it in all aspects of buisnnes, including transport processes. Big Data or large data sets can increase buisness efficiency, reduce costs and generally improve the quality of buisness processes and customer satisfaction. This master thesis investigates the use of Big Data in intercitiy passenger transport and shows its significance in the transport planning process. The aim of this research is to show how Big Data technology can be used in order to positively influence the transport planning process. In addition to wide application possibilities, one should also be aware of the numerous challenges that manifest themselves in data privacy and security, as well as technical challenges that arise in the process of data processing and analysis. In this master thesis, Big Data Systems are generally described, as well as the ways of their application in transport system, and concrete examples of their use in planning intercity passenger transport are presented. Although the amount of data we process seems very large, it is only a part of what really surrounds us. This master thesis also gives an assessment of the possible weaknesses of the transport network of intercity passenger transport, and of the need to increase or decrease the transport supply. The advantages and disadvantages of using different transport modalities at different travel distances are presented, which opens up the possibility of improving the efficiency of the intercity transport systems and promotes the coordinated development of regional integration.