The safety of vulnerable road users consists a major pilar in the transportation field when designing, planning and managing transportation systems and road infrastructure. As automated vehicles are already on the streets and we are heading towards highly and fully autonomous vehicles, the safe coexistence between these vehicles and vulnerable road users is urgent. Numerous studies have dealt with these issues and various methods have been developed and implemented for analyzing the interaction between vehicles and pedestrians, particularly, as well as evaluating these interactions. Scope of this paper is to present the findings of an extensive literature review summarizing existing techniques for describing and modelling the interaction between automated vehicles and pedestrians applying artificial intelligence and machine learning techiques.