Evaluation Model for Quantifying the Reduction of Driver's Mental Distraction Based on the State Transition Probabilistic Model
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Major factor in traffic accidents is a human error that is caused by the mental distraction. Recently, various kinds of driving support systems that prevent the human error are developing. In this study, the effectiveness of the system to notify the driver about approaching to the intersections was evaluated in a driving simulator. For instance, the effectiveness to reduce the accidents by use of the driving support system was evaluated based on the state transition probabilistic model using the state variables such as the time until the driver notices the crossing vehicle at intersection when the driver crosses the intersection. Two types of driving support systems were compared in the test. One is with only voice guidance, and the other is tree aroma by use of the olfactory stimulus in addition to the voice guidance.
Abstract
Major factor in traffic accidents is a human error that is caused by the mental distraction. Recently, various kinds of driving support systems that prevent the human error are developing. In this study, the effectiveness of the system to notify the driver about approaching to the intersections was evaluated in a driving simulator. For instance, the effectiveness to reduce the accidents by use of the driving support system was evaluated based on the state transition probabilistic model using the state variables such as the time until the driver notices the crossing vehicle at intersection when the driver crosses the intersection. Two types of driving support systems were compared in the test. One is with only voice guidance, and the other is tree aroma by use of the olfactory stimulus in addition to the voice guidance.
참고문헌 (5)
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- K.Suzuki, "A Primary Study for Evaluating the Effectiveness of Driving Support System for Collision Avoidance with A View to the Integrated Error of Driver and System", Transactions of JSAE, 4(2), pp.95~100 (2011)
- K. Yamada, "A Study on Probabilistic Model for Driver Support Systems Considering Fluctuation Of Driving Performance", Transactions of JSAE, 35(4), pp.209~214 (2004)
- K. Suzuki, "Optimizing of supplying pattern of aroma for both minimizing olfactory stimulation and improving driver", Transaction of Human Interface Society, 12(3), pp.115~123 (2010)
- K. Suzuki, "Effectiveness of supplying alpha-pinene to the driver in terms of preventive safety", Transactions of JSAE, 40(1), pp.193~198 (2009)