Study On Driver's Forecast Ability Of Latent Traffic Danger And Training System For Forecast Ability Base On Visual Simulation Technic

Recent years,the amount of automobiles and drivers has a sharpen increase in our country, following with astounding data of traffic accident every year. Most traffic accidents were caused by driver factor directly or indirectly for their leading position in traffic system, which reason was analyzed in this paper that some drivers are devoid of forecast ability of latent traffic danger, whose psychology was still immature.Therefore, based on deeply analyzing of driving behavior, this article studied the accident danger forecast ability of drivers, summed up the typical traffic dangerous scenes in normal road environments, then contrasted accident danger forecast ability of drivers in every different scenes, furthermore, obtained the training method to improve the accident danger forecast ability of drivers. clairvoyance and Multi- angle three-dimensional static state typical traffic dangerous scenes were set up by MultiGen Creator software, assorted with pertinency problems, trained drivers though Drawing-room Type method. Using MultiGen Vega drive models, and tested divers with dynamic and interactive scenes. Drivers could change driving states on screens though exterior input, such as speedup, brake, turning functions and so on. At last, set up evaluating archives according to the operations of drivers in the test. This method could offer actual sense cognition and correct leading experience to drivers, saving"inner-reaction mode", so as to reduce traffic conflict from drivers'factor, in the end, avoid traffic accident.