EFFECTIVENESS EVALUATION OF BLUE LIGHT TO IMPROVE DRIVING ALERTNESS
An accident is dominated by human factors, vehicles, roads, and the natural environment (Polda Jabar, 2010). Number of accidents increased from 2005 to 2010 in West Java. In 2005 the number of accidents that occur as many as 1518 cases, in 2006 the number of accidents that occur as many as 2264 case...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/16102 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | An accident is dominated by human factors, vehicles, roads, and the natural environment (Polda Jabar, 2010). Number of accidents increased from 2005 to 2010 in West Java. In 2005 the number of accidents that occur as many as 1518 cases, in 2006 the number of accidents that occur as many as 2264 cases, in 2007 the number of <br />
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accidents that occur as many as 3604 cases, in 2008 the number of accidents that occur as many as 3873 cases, in 2009 the number of accidents occur as many as 4098, and in 2010 the number of accidents that occurred as many as 6808 (Polda Jabar, 2011). Fatigue, sleepiness, and unawareness are releated to the accident. <br />
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The purpose of this research is to evaluate the effectiveness of blue light (465 nm) to improve alertness the driver at night. This research was conducted in the driving simulator had a repeated measure design, with two counterbalanced light conditions (designed blue light and Philips blue light). Respondents in this study are twelve male drivers with driving experiences more than 1.5 years. They drove at the simulator room for sixty minutes. Respondents do the job of driving in the simulator room for sixty minutes. In the first thirty minutes, the respondents drove with blue light exposure, and in the last thirty minutes. During the experiments, brain wave recording conducted on respondents with EEG (electroencephalograph), and evry fifteen minutes, KSS (Karolinska Sleepiness Scale) asked to the respondents. <br />
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Alertness level increased when respondents driving after the blue light is turned off. The KSS results indicate that both of blue light is not significant (p-value 0.748) to the increase of KSS at the time during the blue light exposure and not significant (p-value 0.857) during no blue light exposure. The t-test showed that the level of awareness of respondents is not significant (p-value 0.112) when driving with the blue light exposure and the level of awareness of respondents not significant (p-value 0.536) when driving after the blue light turned off. This indicates that the two blue light is not different and effective to raise awareness of driving at night. |
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