ABSTRACT
Previous chapters have explored problems that are fundamental to both driving in general as well as features of driving automation systems. Potential solutions including driver monitoring and advanced human–machine interface (HMI) designs that may solve those problems have also been presented. No matter how principled, any solution is only a potential one until it is tested and evaluated. The purpose of this chapter is to provide an overview for testing various aspects of automated and connected driving automation systems, including considerations for commercial vehicle testing. This chapter will include reviews of testing methodologies (e.g., data analytics, experimentation, and naturalistic driving) and will advocate a graduated approach in which systems are tested iteratively throughout the development cycle.
