  The potential positive impact of autonomous driving and driver assistance
technolo- gies have been a major impetus over the last decade. On the flip
side, it has been a challenging problem to analyze the performance of human
drivers or autonomous driving agents quantitatively. In this work, we propose a
generic method that compares the performance of drivers or autonomous driving
agents even if the environmental conditions are different, by using the driver
behavioral advantage instead of absolute metrics, which efficiently removes the
environmental factors. A concrete application of the method is also presented,
where the performance of more than 100 truck drivers was evaluated and ranked
in terms of fuel efficiency, covering more than 90,000 trips spanning an
average of 300 miles in a variety of driving conditions and environments.
