| Autor: |
Xiang-Li Wang, Yan-Jyun Ou, Kuei-Shu Hsu, Jinn-Feng Jiang, Hung-Yuan Wei, Chien-Lung Huang |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 IEEE International Conference on Applied System Invention (ICASI). |
| DOI: |
10.1109/icasi.2018.8394612 |
| Popis: |
Using a risk event simulation and test method, this study enabled drivers with different levels of driving experience to receive situation awareness training. Novice and experienced drivers have different levels of road risk perception, 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 risk perception education, which enabled the trained drivers to observe the potential road risks in the simulation process, where the risk perception 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 risk perceptions for drivers. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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