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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.