| Summary: | 碩士 === 嘉南藥理大學 === 應用空間資訊系 === 106 === In the past, the on-site examination system was adopted in the driving test. As long as they remember exam questions can usually pass the exam, there is no effective help for the actual road conditions. Currently, road tests have been formally implemented in our country, so that trainees can get students can gain better learning results in the face of real road conditions, but the accumulation of driving experience is still not enough, because novice and experienced drivers have different levels of road perception risk, with the former required to gradually accumulate experience from risks because it is more difficult for them to perceive potential road risks.
In this project, a driving simulation system was employed as the research tool. The car simulation platform PreScan was used to produce the semi real traffic environment for the perception risk education, which enabled the trained drivers to observe the potential road risks in the simulation process, where the perception risk time and risk reaction time for all training were recorded to determine whether the decision-making was correct. The reliability and validity analysis results indicated that the simulator-based risk training could significantly enhance the learning of road perception risks for drivers.
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