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Kiichi Yamada,Keisuke Suzuki 에스케이텔레콤 (주) 2012 Telecommunications Review Vol.22 No.4
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.
Algorithm detecting low arousal states of car drivers based on the driver’s eye blinking pattern
Keisuke Suzuki,Kiichi Yamada,Yumie Minakami,Hiroyuki Kawamura 대한인간공학회 2010 대한인간공학회 학술대회논문집 Vol.2010 No.5
In this study, five kinds of state variables characterizing the eye blinking behavior for detecting low arousal level of car drivers were investigated. This investigation was carried out in a driving simulator for clarifying what kind of state variables are useful for designing the algorithm of awaking alarm, in terms of minimizing the missing alarms in low arousal condition and the excess alarms in awaking condition simultaneously. In applying the ratio regarding closing/opening time of eyelid and the variation of this ratio for designing the algorithm, the time frequency of the missing alarms was approximately 1.5 % and extremely lower than the conditions when the algorithm was based on the other state variables like the total time for eye closing or the opening rate of eyelid. The excess alarms in applying this algorithm are also lower than the other algorithms. An effectiveness of awaking alarm based on this algorithm was also evaluated and clarified that the awaking effects by the acoustic alarm evaluated in terms of the fluctuation of RRI (ECG) was not sufficient, and the methodology for awaking the driver should be studied.
Evaluation of Reduction Effect in Traffic Accidents Based on Time Series Reliability Model
Ryota IIDA,Makoto MOCHIZUKI,Yoshiki NII,Dejan ORSAG,Keisuke SUZUKI,Kiichi YAMADA 대한인간공학회 2016 대한인간공학회 학술대회논문집 Vol.2016 No.06
In recent years, various kinds of research related to alarm systems which prevent traffic accidents has been reported. However, there are few which evaluated the effects of reducing driver’s reaction time during unpredictable risks on decreasing traffic accidents. In this study, a methodology for estimating the collision mitigation ratio is discussed, using a collision-prevention system that supplies aroma to drivers whose cognitive attentiveness has decreased due to a prolonged driving. First, we investigated driving action at intersections during use of the system in a driving simulator. The results showed that reaction time to the crossing vehicle was significantly reduced when a driver used the aroma-supplying collision-prevention system. In addition, a system that doesn’t supply aroma could cause a decrease in driver’s attentiveness. The Time Series Reliability Model, which is a driver-model considering the driver’s time-series cognitive status, is constructed and the collision mitigation ratio is estimated. The results suggested that the collision ratio increased during the use of a system that presents only information, since the driver depended on the system information and the driver’s safety confirmation actions were inhibited. Meanwhile, the collision ratio decreased during the use of the aroma-supplying system since reaction time to the crossing vehicle was reduced by an effect on stress reduction. It can be concluded that traffic accidents at intersections are reduced by using the aroma-supplying system.