Expert system design for an Autonomous Driver Evaluation System

In this paper, two expert system implementations for the Automatic Driver Evaluation System (ADES) Project are introduced. These expert systems are used for deciding whether a driver violates the traffic rules or not, according to the facts derived from the data acquired by the sensors. Sample scenarios are executed in a highly realistic simulation environment. The advantages and shortcomings of both approaches are discussed.