Teen Driver Support System Technology Transfer

Davis, Brian · 2019 · ROSA P / University of Minnesota

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Summary

This report documents the technology transfer and evolution of the Teen Driver Support System (TDSS), a smartphone application designed to enhance roadway safety by providing real-time feedback to novice drivers. Motivated by the high rate of fatal crashes among U.S. teenagers, the project aimed to refine the TDSS software based on findings from a prior field operational test (FOT) and identify new applications for the technology. The primary goals were to implement necessary software improvements, rebrand the system for broader usability, and adapt the platform for older drivers. The TDSS utilizes smartphone sensors and digital maps to detect risky behaviors such as speeding, hard braking, sharp turns, and seatbelt violations. The system provides immediate visual and auditory warnings to the driver and logs events for parental review, including real-time text alerts for severe infractions. The report details the system’s history, from early computer-based prototypes to an Android app that enforced foreground operation to prevent distraction. Following a successful 12-month FOT with 300 teen-parent dyads, which demonstrated that parental engagement significantly reduced risky driving behaviors, the software was licensed to a commercial entity, Drive Power LLC, resulting in the "DriveScribe" app. After the licensing agreement ended, the University of Minnesota recovered the intellectual property. The current project involved analyzing the DriveScribe codebase, fixing bugs, updating outdated components, and rebranding the system as "Road Coach." Additionally, the authors conducted a market survey of existing driver support systems, including OEM features like Ford MyKey and smartphone modes like Apple’s Do Not Disturb, to contextualize Road Coach within the current landscape. The rebranded Road Coach system was subsequently adapted for an Older Driver Support System (ODSS). The report summarizes the development of this new application and references positive results from associated usability and field operational tests, noting high user acceptance and efficacy in reducing risky behaviors among older drivers. The core algorithms for detecting speeding, excessive maneuvers, and stop sign violations remained consistent with the original research version, though the commercial DriveScribe iteration had removed hardware integrations like seatbelt sensors and relaxed foreground enforcement. The significance of this work lies in the successful transition of a research prototype into a versatile, deployable technology. By rebranding and refining the system, the researchers created a robust platform capable of serving multiple demographics, extending beyond teen drivers to older adults. The findings reinforce the value of real-time feedback and parental or caregiver involvement in coaching driving behavior. The report concludes that Road Coach is ready for further demonstration and testing, supporting future applications in traffic safety and driver assistance.

Key finding

The full implementation of the Teen Driver Support System, which included both in-vehicle warnings and parental feedback, successfully reduced the frequency of risky driving behaviors most correlated with novice teen driver crashes.

Methodology

field_study

Sample size: 300

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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