This article analyses the possibility of using self-driving systems in the field of public transport. In this study, the type of public transport considered is the tram. Today, self-driving innovative technologies are becoming publicly available. It is shown that in the field of modernization of the artificial intelligence of the tram, maximum practical experience is needed to improve its adaptation to various external situations. The study suggests the practical application of self-driving systems in a city with a population of 1.5 million people. This city is Yekaterinburg, Russia. The best world experience in the field of automation of public transport processes is considered. The article also provides an algorithm for the introduction of self-driving systems into the urban environment. The advantages and disadvantages of the existing and modernized tram fleet are shown on the example of the city of Yekaterinburg. SWOT analysis was used as a tool for assessing the need and possibility of introducing a tram.