This repository contains the Python implementation of a scenario-based risk quantification approach which is described in detail in:
E. de Gelder, H. Elrofai, A. Khabbaz Saberi, J.-P. Paardekooper, O. Op den Camp, and B. De Schutter, "Risk Quantification for Automated Driving Systems in Driving Scenarios", in IEEE Access, vol. 9, pp. 168953-168970, 2021, doi: 10.1109/ACCESS.2021.3136585.
We considered 3 different scenario categories: leading vehicle decelerating (LVD), cut-in, and approaching slower vehicle (ASV). The risk of each of these 3 scenario categories is separately estimated in a Python notebook: