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Drunk-Driver Detection and Alert System (DDDAS) for Smart Vehicles

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Figure

Figure 1. More than 14% of accidents in many non-dry states of India are due to drunk driving as against 1.4% accidents in the dry states [19] [20]
Figure 2. Fatalities and fatality rate per 100 million vehicle miles travelled (VMT) in alcohol-impaired driving crashes in 2005-2014 in USA [23]
Figure 3. Block diagram of the proposed drunk-driver detection and alert system (DDDAS)
Figure 5. Semiconductor alcohol gas sensor (a) MQ3 device look-out (b) Cross-sectional view of thin –film MQ3 sensor design
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