Interlock Data Utilization [Traffic Tech]

NHTSA · 2017 · ROSA P / United States. Department of Transportation. National Highway Traffic Safety Administration

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Summary

This 2017 report by the National Highway Traffic Safety Administration (NHTSA) addresses the utilization of data collected from alcohol ignition interlocks for monitoring driving-while-impaired (DWI) offenders. While interlocks significantly reduce recidivism during the installation period, the report investigates how the substantial volume of breath alcohol concentration (BrAC) data—up to 2,500 tests per year per device—is currently used for offender management, screening, assessment, and treatment. The study aims to identify barriers to effective data utilization and propose improvements for reducing long-term alcohol-impaired driving. The researchers conducted a descriptive study by collecting information from various stakeholders involved in alcohol interlock programs, including vendors, state agencies, courts, and treatment providers. The analysis focused on reporting variations, state laws, performance standards, and the integration of interlock data with treatment programs. The study examined the operational differences among the 10 to 12 major interlock vendors and the diverse reporting requirements across states, which often involve five to six vendors each. It also assessed the administrative processes used by probation officers, DMV staff, and case managers to interpret and act upon interlock violation reports. The findings reveal significant inconsistencies in interlock data reporting and utilization. There is a lack of uniformity in report formats, definitions of violations, and filtering methods across vendors and jurisdictions. Common violations include missed retests and elevated BrAC readings, often attributed to mouth alcohol. While interlock performance metrics predict future recidivism, interventions for poor performers are limited, primarily consisting of extending the interlock period, with little research on the effectiveness of such measures. Furthermore, there is a disconnect between interlock monitoring and alcohol treatment programs; offenders often do not address underlying drinking issues while on the interlock, leading to a return to impaired driving after removal. Treatment providers rarely have access to interlock data, and integrated programs are uncommon. Technological advancements, such as real-time reporting and GPS, are increasing data availability, but administrative resources and vendor reliance on data filtering create costs and inconsistencies. The report concludes that while interlock data is widely used, its potential for improving offender management and treatment is underutilized due to systemic fragmentation. It recommends developing efficient automated data delivery, standardizing data definitions and reporting formats, and expanding data sharing among professionals. Key implications include the need for better coordination between sanctioning and treatment programs, allowing offenders to install interlocks while in treatment, and establishing guidelines for using data to identify behavioral patterns. The authors emphasize that research is needed to evaluate how interlock data can inform treatment strategies and to determine the most cost-effective methods for monitoring and reducing DWI recidivism.

Key finding

Substantial differences in jurisdictional practices and lack of uniformity in interlock data reporting systems hinder the effective use of interlock data for offender monitoring and treatment.

Methodology

review

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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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