Artificial Intellgence Based Decision Making of Autonomous Vehicles Before Entering Roundabout

Decisions of entering into a roundabout or stop before are multi-criterial situations that are complex for both human drivers and for the self-driving vehicles as well. Complexity of the decision is the reason to involve artificial intelligence. Creating standards for autonomous vehicle artificial intelligence based decisions at roundabout entering situation needs deeper understanding of vehicle and traffic behaviour, parametrizing, modelling and simulation. In our research paper, we present an overview about the literature of autonomous vehicles roundabout related decisions. Based on the overviewed cases main parameters of the decision situation was determined. A commonly utilized modeling environment was used for the first simulations and data gathering for feeding the developed neural networks. In this paper, we give an overview about the status of the research, the developed roundabout traffic, the complexity of the decision and the first test results about autonomous vehicle decision before entering into the roundabout supported with artificial intelligence.