A Fuzzy-System for a Classification of the Driver Behavior and the Driving Situation

Abstract A fuzzy system is presented which recognizes and classifies the driver behavior between economic and sportive. The aim of this approach is to supply an engine management system with information about the driver demands. Based on measured driving signal data, features are calculated and then evaluated with a fuzzy classificator initialized with a priori heuristic knowledge. This first fuzzy system could be improved by nonlinear optimization of the position and shape of the membership functions of the premises and the position of the conclusion-singletons. A further examination of the information contents of each signal lead to a reduced, simplified structure with fewer input signals. Finally the first result of an initial fuzzy-system for the recognition of the driving situation (city, highway and road) are presented.