Driving under the influence of alcohol is recognized as a significant hazard on road safety, significantly increasing crash risks and impairing driver responsiveness and judgment. Alcohol-related crashes account for a major portion of traffic-related fatalities and injuries, underscoring the urgent need for effective interventions and preventive measures. This study investigates the effects of alcohol-impaired driving in urban environments, employing a driving simulator to collect data from 35 participants. Each participant completed the same route four times, each under varying levels of Blood Alcohol Concentration (BAC): 0%, 0.03%, 0.06%, and 0.09%. Additional participant characteristics were gathered through a questionnaire. The analysis utilized linear and binary logistic regression models to assess variables such as average headway distance, response times to unexpected events, and the crash probability. The findings revealed that higher BAC levels correlate with an increased likelihood of crash occurrence and reduced headway distances. Furthermore, as BAC levels increased, drivers’ reaction times to unexpected events extended.
| ID | pc613 |
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