Method of selecting measures to improve road safety taking into account adaptive neuro-fuzzy accident forecast

The article presents a solution for the joint application of the adaptive neuro-fuzzy inference model and the modified zoning method when choosing measures to reduce accidents and ensure road safety, provides the results of evaluating the effectiveness of such a solution and identifies ways to further improve it. Keywords accident rate, traffic accidents, forecasting, neural network, machine learning, modeling, fuzzy logic, multi-criteria optimization