Adaptive Performance Assessment For Drivers Through Behavioral Advantage

TL;DR

This paper introduces a novel method for evaluating driver performance by comparing behavioral advantage, effectively removing environmental biases, demonstrated through ranking over 100 truck drivers based on fuel efficiency across diverse conditions.

Contribution

The paper presents a generic approach to assess driver performance using behavioral advantage, enabling fair comparisons across different environmental conditions.

Findings

Over 100 truck drivers evaluated and ranked

Analyzed more than 90,000 trips covering diverse environments

Demonstrated effectiveness of behavioral advantage in performance assessment

Abstract

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.