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- W2564819634 abstract "To make driving assistance system more humanized, this study focused on the prediction and assistance of drivers’ perception-response time on mountain highway curves. Field tests were conducted to collect real-time driving data and driver vision information. A driver-vision lane model quantified curve elements in drivers’ vision. A multinomial log-linear model was established to predict perception-response time with traffic/road environment information, driver-vision lane model, and mechanical status (last second). A corresponding assistance model showed a positive impact on drivers’ perception-response times on mountain highway curves. Model results revealed that the driver-vision lane model and visual elements did have important influence on drivers’ perception-response time. Compared with roadside passive road safety infrastructure, proper visual geometry design, timely visual guidance, and visual information integrality of a curve are significant factors for drivers’ perception-response time." @default.
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- W2564819634 date "2016-12-30" @default.
- W2564819634 modified "2023-10-12" @default.
- W2564819634 title "Driver Vision Based Perception-Response Time Prediction and Assistance Model on Mountain Highway Curve" @default.
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- W2564819634 doi "https://doi.org/10.3390/ijerph14010031" @default.
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