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Synthetic Automotive Virtual Environment (SAVE) is a research program to develop useful descriptions of high-speed, loose-surface ground vehicle interface dynamics and to apply those findings to synthetic training environments, autonomous vehicle development, active safety systems development, and to the construction of safer roads. Live training for accident avoidance through vehicle control is problematic due to the dangers of having unskilled drivers in critical situations. Furthermore, for a driver to perform the critical skills well in an unexpected driving situation requires that their response become automatic through muscle memory development. A simulator environment removes the student from the potentially dangerous consequences of these situations and allows for repetitive training to develop muscle memory.