A New Paradigm for Rear-end Crash Prevention Driving Performance

This paper presents a new data analysis approach to describe driver performance in situations that have the potential of leading to a rear-end crash. The approach provides at least two key benefits. It provides a unified means of analyzing data from different sources such as simulators, test tracks, and instrumented vehicles. It may also provide a means of addressing the huge diversity of driver performance in pre-crash situations.