New Hampshire: Highway Safety Improvement Program 2021 Annual Report
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Summary
This document is the 2021 Annual Report for New Hampshire’s Highway Safety Improvement Program (HSIP), a federal-aid initiative designed to significantly reduce fatalities and serious injuries on public roads. The program aligns with the national "Toward Zero Deaths" initiative and New Hampshire’s Strategic Highway Safety Plan (SHSP), titled "Driving Toward Zero," which sets a goal of reducing fatalities and serious injuries by 50% by 2030. The report details the administrative structure, methodology, project implementation, and safety performance of the HSIP, emphasizing a data-driven approach to resource allocation. The HSIP is centrally administered by the New Hampshire Department of Transportation (NHDOT) through a committee comprising internal bureaus, regional planning commissions, municipalities, and the Federal Highway Administration (FHWA). Project selection relies on historical network screening corroborated by recent crash data, utilizing methodologies outlined in the Highway Safety Manual (HSM). The program addresses ten critical emphasis areas, including distracted driving, impaired driving, speeding, and vulnerable roadway users. Specific infrastructure programs include bicycle safety, horizontal curves, intersections, pedestrian safety, and roadway departures. Projects are prioritized based on benefit-cost ratios and available funding, with a target initial benefit-cost ratio of at least 2.0. Approximately 50% of HSIP funds are allocated to systemic improvements, such as installing rumble strips, upgrading guardrails, and improving signage. Local roads are included in the screening process, though volume data for some rural local roads are estimated due to limited availability. In Federal Fiscal Year 2021, New Hampshire programmed $10,357,601 in HSIP funds, with $10,355,545 obligated, representing nearly 100% obligation. The report notes that while the state has migrated its crash data system to VISION and completed the Model Inventory of Roadway Elements, it continues to work on improving data quality measures. The HSIP does not currently consider connected vehicles or intelligent transportation systems (ITS) technologies for infrastructure improvements, though the state monitors developments cooperatively with regional partners. The report also highlights that non-infrastructure safety initiatives are advanced through other funding sources, such as the National Highway Traffic Safety Administration, as HSIP funds are restricted to infrastructure projects under the FAST Act. The significance of this report lies in its demonstration of New Hampshire’s commitment to a performance-based safety approach, integrating engineering countermeasures with rigorous data analysis to maximize safety outcomes. By leveraging federal funds and coordinating with multiple stakeholders, the state aims to achieve its aggressive safety targets. The report underscores the importance of data-driven decision-making and the need for continuous improvement in data systems to accurately identify high-risk locations and evaluate the effectiveness of safety improvements. This structured approach ensures that limited resources are applied to areas most likely to yield significant reductions in traffic fatalities and serious injuries.
Key finding
The New Hampshire Highway Safety Improvement Program utilizes a structured, data-driven methodology prioritizing projects by benefit-cost ratio to achieve a 50% reduction in fatalities and serious injuries by 2030.
Methodology
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Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
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| 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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- Applied Guidance: countermeasure evaluation
- Empirical Findings: crash risk outcomes
- Methodological Resource: dataset resource