Effectiveness of Teenage Support System (TDSS) on Reducing Traffic Violation Behaviors for Teenage Drivers at the Early Time of Licensure

Disi Tian, M S; Morris, Nichole L.; Donath, Max · 2021 · ROSA P / Minnesota. Department of Transportation

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Summary

This study evaluates the long-term effectiveness of the Teen Driver Support System (TDSS), a smartphone-based intervention designed to reduce risky driving behaviors among novice teenage drivers. Motivated by the disproportionate risk of crashes and traffic violations faced by teen drivers, particularly during the early months of licensure, the research investigates whether real-time in-vehicle coaching and parental feedback can sustainably improve driving safety. The study serves as a five-year follow-up to a 2013 Field Operational Test (FOT) that initially demonstrated short-term reductions in speeding and harsh maneuvers for participants using the TDSS. The methodology involved recruiting 150 participants from the original cohort of approximately 300 teen drivers who were monitored for 12 months post-licensure. Participants were divided into three groups: a control group with no feedback, a TDSS group receiving real-time in-vehicle coaching (including intelligent speed adaptation alerts), and a TDSS+ group receiving in-vehicle coaching plus parental notifications via text, email, and web logs. Researchers analyzed state-recorded traffic citations and crash data from the Minnesota Department of Public Safety, alongside self-reported driving behaviors and attitudes collected through validated surveys. Early risky driving behaviors measured during the initial FOT were categorized into low, moderate, and high risk tertiles to assess their predictive value for long-term outcomes. The findings indicate that early risky driving behaviors significantly predict long-term traffic violations. Participants in the moderate and high risk tertiles for speeding and harsh maneuvers were significantly more likely to receive citations compared to those in the low-risk group. Specifically, high levels of "red speeding" (exceeding the speed limit by 7+ mph) and moderate texting behavior were strong predictors of future tickets. The TDSS and TDSS+ interventions successfully reduced the proportion of teens in the high-risk tertiles for speeding and texting compared to the control group. However, the sample size of recorded crashes was too small to determine if the TDSS interventions significantly reduced long-term crash rates, although approximately 80% of all participants remained crash-free over the six-year period. The study concludes that real-time in-vehicle coaching systems, particularly those incorporating parental involvement, are effective in reducing risky driving behaviors such as speeding and distraction during the critical early licensure period. These early behavioral changes correlate with reduced long-term traffic violations, suggesting that such interventions can have lasting positive impacts on driver safety. The results support the implementation of technology-based support systems to mitigate the inherent risks associated with novice teenage drivers, though further research with larger samples is needed to confirm effects on crash reduction.

Key finding

Early risky driving behaviors during the first year of licensure significantly predicted long-term traffic citation frequency, but the study could not confirm long-term crash reduction due to insufficient sample size.

Methodology

field_study

Sample size: 150

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).

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

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• parental management
• novice drivers
• passenger effects
• driver education effectiveness
• sex gender
• learner drivers

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Applied Guidance: countermeasure evaluation
• Empirical Findings: observational prevalence
• Methodological Resource: dataset resource