The invention provides an intelligent immersive high-speed
train virtual driving behavior evaluation method and a
simulation system. According to the method, a virtual driving scene module is established, and various driving training scenes composed of multiple intelligent agents are constructed; a high-speed
train dynamics module is established, including various subsystems of the high-speed
train such as engine, power train
system, steering mechanism and body modules; a virtual driving scene
simulation module is established; a high-speed train
logic simulation module is established; a data helmet display and man-
machine interaction module is established, the
head tracking technology of a helmet type display is researched on the basis of the
virtual reality technology, and motion of the high-speed train in a virtual environment is controlled and manipulated through a high-speed operation mechanism; finally, intelligent driving behavior researching and evaluation are realized on the basis of a time varying dynamic bayesian networks (TVDBN)
dynamic learning learning model according to the virtual driving operation data accumulated in a user and
simulation system interaction process.