Given the rapid advance in ITS technologies, future mobility is pointing to
vehicular autonomy. However, there is still a long way before full automation,
and human intervention is required. This work sheds light on understanding
human drivers' intervention behavior involved in the operation of autonomous
vehicles (AVs) and utilizes this knowledge to improve the perception of
critical driving scenarios. Experiment environments were implemented where the
virtual reality (VR) and traffic micro-simulation are integrated, and tests
were carried out under typical and diverse traffic scenes. Performance
indicators such as the probability of intervention, accident rates are defined
and used to quantify and compare the risk levels. By offering novel insights
into drivers' intervention behavior, this work will help improve the
performances of the automated control under similar scenarios. Furthermore,
such an integrated and immersive tool for autonomous driving studies will be
valuable for research on human-to-automation trust. To the best knowledge of
the authors, this work is among the pioneer works making efforts into such
types of tools.

该研究通过实施虚拟现实和交通微模拟集成的实验环境，并在典型和多样化的交通场景下进行测试，提出了驾驶员介入行为的新视角，从而改善自动驾驶在类似情景下的表现，并为人与自动化系统之间的信任关系研究提供了有价值的综合与沉浸式工具。