Automated vehicle systems use sensors, controllers, and actuators to assist/replace human to perceive environment, analyze the collected information, make driving decisions. Human-being is smart enough to drive a car or conduct even more complicated tasks. But, how to assess such assistance/replacement is good or what degree it is good? This talk introduces a method, analogy to Turing test, to assess the intelligence of an automated car with a case study. Some preliminary results are presented to show the quantitative assessment of several automated vehicle systems and the effectiveness of the proposed method.