With the expeditious development in technology autonomous vehicles (AVs) are going to become a part of our daily life. Their possible influences on current transportation systems and the needs of the future traffic systems with the introduction of AVs have been investigated extensively with use of traffic simulation tools. Apart from simulative studies more and more real-life demonstrations of AVs are carried out and real AV data becomes available. The latter one facilitates to further properly model AVs’ driving behaviour in traffic simulation. Related AVs’ impact evaluations can then be more representative and support policy and decision making. In this paper, real autonomous shuttle bus data is analysed to understand driving situation, to derive vehicle-related parameters for enhancing microscopic traffic simulation model, and to find out possible issues in real traffic environment.