Alcohol Abuse and Traffic Safety: A Study of Fatalities, DWI Offenders, Alcoholics, and Court-Related Treatment Approaches

Filkins, Lyle D. · 1970 · ROSA P / United States. National Highway Traffic Safety Administration

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Summary

This 1970 report by the Highway Safety Research Institute addresses the role of alcohol abuse in traffic safety, aiming to delineate its impact on highway crashes, identify predictive characteristics of deviant driving, and evaluate court-related treatment approaches. The research was motivated by the need to understand the demographic and behavioral profiles of alcohol-involved fatalities and offenders to inform countermeasure development. The study comprised three primary projects and a comparative analysis. Project I conducted a case-history investigation of 616 traffic fatalities (drivers, passengers, and pedestrians) in Wayne County, Michigan, from 1967 to 1969, utilizing morgue reports, police accident records, and toxicological data. Project II analyzed the driving performance of 1,247 alcoholics admitted to Hurley Hospital between 1961 and 1967, examining their crash and conviction histories. Project III reviewed published reports of ten U.S. court-related alcoholism treatment programs. Additionally, the study compared these populations against a random sample of 1,071 Michigan drivers and a sample of 169 drivers convicted of Driving Under the Influence of Liquor (DUIL) or Driving While Impaired (DWI). Key findings from Project I revealed that 45% of all fatalities had blood alcohol levels (BAL) of 0.10% or higher, with driver fatalities showing the highest involvement (55%). Alcohol involvement peaked among drivers aged 26–45, with 77% having BALs ≥0.10%. Fatal crashes were most frequent between midnight and 6 A.M., with 78% of drivers in this window having BALs ≥0.10%. Project II identified specific subgroups of alcoholic drivers who contributed disproportionately to traffic deaths and injuries, noting that characteristics such as prior driving convictions and non-driving drunkenness offenses predicted future crash involvement. The comparative analysis showed that the fatality and DUIL samples had significantly higher rates of driving violations and crashes over a 6.5-year period compared to the general driver population. Project III provided a framework for evaluating court-induced treatment, analyzing success criteria and evaluation methods across various programs. The significance of this research lies in its detailed characterization of the alcohol-involved traffic fatality population and the identification of high-risk alcoholic drivers. By establishing predictive models for crash involvement and evaluating treatment efficacy, the study offers evidence-based insights for policymakers and program planners. It highlights the critical need for targeted interventions for specific demographic groups, particularly young and middle-aged male drivers, and underscores the potential of court-related treatment programs as a tool for reducing alcohol-related traffic incidents.

Key finding

Forty-five percent of the 616 traffic fatalities studied had blood alcohol levels of 0.10 percent or higher, with driver fatalities showing the greatest alcohol involvement at 55 percent legally impaired.

Methodology

dataset

Sample size: 616

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

StageOutcomeToolModelPromptAttemptsCompleted
discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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