Analysis of SHRP2 Speeding Data [Traffic Tech]
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Summary
This study addresses the persistent safety issue of speeding-related crashes in the United States by analyzing naturalistic driving data to better understand speeding behaviors. The research aims to identify specific characteristics of speeding episodes and driver profiles to inform the development of effective countermeasures. The analysis utilizes data from the Strategic Highway Research Program 2 (SHRP2), a large-scale naturalistic driving study involving 3,539 passenger vehicle drivers across six U.S. regional sites. This specific report focuses on a subset of 2,357 drivers, examining real-time vehicle records, including GPS, speed, acceleration, and video data, collected over 12 to 24 months. The researchers defined a speeding episode as a period where vehicle speed exceeded the posted speed limit (PSL) by at least 10 mph for more than six seconds, with speeds reaching at least 15 mph above the PSL at some point. They identified "Free Flow Episodes" as opportunities to speed, noting that while high-PSL roadways offered more opportunities and longer speeding durations, drivers exceeded the PSL by greater margins on low-PSL roadways. The study categorized speeding into three distinct types: Momentary Speeding (brief, potentially unintentional increases); Cruising Speeding (long-duration, low-variability maintenance of speed); and Riskier Speeding (long duration, high maximum speed, and high variability, indicating active control of high speeds). Key findings revealed that demographic and behavioral factors significantly predicted speeding behavior. Younger drivers, particularly those aged 20–24, and those with less driving experience sped more frequently. Drivers with prior traffic violations, crash history, high sensation-seeking scores, aggressive driving behaviors, and higher ADHD confidence indexes were also associated with increased speeding. The study developed a typology of five speeder groups: Non-Speeders, Infrequent Speeders, Occasional Speeders, Long-Duration Speeders, and High Speeders. Infrequent Speeders constituted over half the sample, while Long-Duration and High Speeders represented a small subset characterized by deliberate, high-risk behaviors. High Speeders exhibited the highest proportions of Riskier Speeding episodes and the greatest maximum speeds above the PSL. The significance of this research lies in its identification of specific high-risk driver profiles and behavioral patterns. The findings suggest that while situational opportunities for speeding are common, only drivers with specific characteristics—such as young age, risk acceptance, and sensation-seeking tendencies—engage in frequent or risky speeding. The study concludes that Long-Duration and High Speeders represent a critical target group for safety countermeasures, as they exhibit distinct attitudes toward risk and engage in the most dangerous speeding behaviors. This detailed characterization provides a foundation for developing targeted interventions to reduce speeding-related crashes.
Key finding
On 35 mph roadways, the average maximum speed during Riskier speeding episodes exceeded the posted limit by 65 percent.
Methodology
naturalistic
Sample size: 2357
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 (7 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| 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 | — | — | — | 3 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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Information type
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- Empirical Findings: observational prevalence, behavioral performance data
- Methodological Resource: dataset resource