Driver Alcohol Detection System for Safety (DADSS). Background and Rationale for Technology Approaches

Ferguson, Susan A.; Zaouk, Abdullatif K.; Strohl, Clair

doi:10.4271/2010-01-1580

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…The legal limit for drunk driving is 0.36 mg/L of alcohol or more in the driver's exhaled gas: The exhaled gases from the simulated drivers who had consumed alcohol while driving had an alcohol concentration of 0.1 mg/L, 5% carbon dioxide, 16% oxygen, and the remainder was nitrogen. The gases were set up to replicate various driving circumstances after drinking [36]. The exhaled gas of the drunk driver had a simulated alcohol concentration of 0.5 mg/L and was composed primarily of nitrogen, with just 5% of carbon dioxide and 16% oxygen.…”

Section: Samplesmentioning

confidence: 99%

Model Development for Alcohol Concentration in Exhaled Air at Low Temperature Using Electronic Nose

et al. 2022

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Driving safety issues, such as drunk driving, have drawn a lot of attention since the advent of shared automobiles. We used an electronic nose (EN) detection device as an onboard system for shared automobiles to identify drunk driving. The sensors in the EN, however, can stray in cold winter temperatures. We suggested an independent component analysis (ICA) correction model to handle the data collected from the EN in order to lessen the impact of low temperature on the device. Additionally, it was contrasted with both the mixed temperature correction model and the single temperature model. As samples, alcohol mixed with concentrations of 0.1 mg/L and 0.5 mg/L were tested at (20 ± 2) °C, (−10 ± 2) °C, and (−20 ± 2) °C. The results showed that the ICA correction model outperformed the other models with an accuracy of 1, precision of 1, recall of 1, and specificity of 1. As a result, this model can be utilized to lessen the impact of low temperature on the EN’s ability to detect the presence of alcohol in the driver’s inhaled gas, strongly supporting its use in car-sharing drink driving. Other ENs that need to function in frigid conditions can also use this technique.

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Section: Samplesmentioning

confidence: 99%

Model Development for Alcohol Concentration in Exhaled Air at Low Temperature Using Electronic Nose

et al. 2022

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“…Several approaches for intoxication detection while driving have been proposed. These include contact and remote breath analysis [13,14], skin conductivity analysis [15], heart rate variability [16], gaze behaviour and head movements [17], driving behaviour [18], or a combination of the above. Most of the methods require additional and sometimes obtrusive sensors to be installed in the car, or are not feasible in case of automated driving.…”

Section: Introductionmentioning

confidence: 99%

Practical aspects of measuring camera‐based indicators of alcohol intoxication in manual and automated driving

Zemblys,

Ahlström,

Kircher

et al. 2024

IET Intelligent Trans Sys

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Camera‐based Driver Monitoring Systems (DMS) have the potential to exploit eye tracking correlates of alcohol intoxication to detect drunk driving. This study investigates how glance, blink, saccade, and fixation metrics are affected by alcohol, and whether possible effects remain stable across three different camera setups, as well as when the driver is out‐of‐the‐loop during level 4 automated driving (Wizard‐of‐Oz setup). Thirty‐five participants drove on a test track first sober and then with increasing intoxication levels reaching a breath alcohol concentration (BrAC) of 1‰. Linear Mixed‐Effects Regression analyses showed that with increasing intoxication levels, eye blinks became longer and slower, glances and fixations became fewer and longer, and more attention was directed to the road area, at the expense of more peripheral areas. Fixation and blink metrics were more robust to changes in automation mode, whereas glance‐based metrics were highly context dependent. Not all effects of alcohol intoxication could be measured with all eye tracking setups, where one‐camera systems showed lower data availability and higher noise levels compared to a five‐camera system. This means that lab findings based on higher quality eye tracking data might not be directly applied to production settings because of hardware limitations.

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Alcohol-Impaired Driving in the United States: Contributors to the Problem and Effective Countermeasures

Ferguson¹

2012

Traffic Injury Prevention

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General deterrent approaches, such as frequent and highly publicized sobriety checkpoints, have the greatest potential to save lives and should be the mainstay of state and local efforts. Specific deterrent approaches, aimed at deterring DWI offenders from reoffending, such as alcohol ignition interlocks, should be applied to all apprehended drivers, whatever their drinking history. Evidence suggests that they could benefit from them. In the future, advanced in-vehicle technologies that would prevent vehicles from being driven when their drivers are over the legal limit may hold the key to drastically reducing the alcohol-impaired driving problem.

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Driver Alcohol Detection System for Safety (DADSS). Background and Rationale for Technology Approaches

Cited by 7 publications

References 18 publications

Model Development for Alcohol Concentration in Exhaled Air at Low Temperature Using Electronic Nose

Model Development for Alcohol Concentration in Exhaled Air at Low Temperature Using Electronic Nose

Practical aspects of measuring camera‐based indicators of alcohol intoxication in manual and automated driving

Alcohol-Impaired Driving in the United States: Contributors to the Problem and Effective Countermeasures

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