Turner-Fairbank Highway Research Center - Office of Safety and Operations Research and Development (R&D)
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Summary
This document serves as a fact sheet describing the mission, structure, and ongoing research initiatives of the Federal Highway Administration’s (FHWA) Office of Safety and Operations Research and Development (R&D). The office is tasked with overseeing nationally coordinated research to reduce highway crashes, fatalities, and injuries while developing next-generation technologies to enhance transportation system productivity and efficiency. Its work is aligned with the U.S. Department of Transportation’s National Roadway Safety Strategy, specifically pursuing the "Safe System Approach" elements: safer people, roads, vehicles, speeds, and post-crash care. The office coordinates research across five primary teams: Safety Data and Analysis, Human Factors, Roadway Safety, Transportation Enabling Technology, and Transportation Operations Applications. The Roadway Safety Team focuses on keeping vehicles on the roadway and minimizing conflict consequences. Research areas include roadway departure prevention through improved driver information and roadside safety hardware, intersection safety design for all users, and the implementation of the American Association of State Highway and Transportation Officials’ Highway Safety Manual. Speed management research aims to promote safer speeds through engineering and behavioral strategies. The Safety Data and Analysis Team improves data quality and analytical tools for highway safety decision-making. This team manages the Development of Crash Modification Factors (DCMF) program, which identifies effective safety strategies and develops crash modification factors (CMFs). It also oversees the Evaluation of Low-Cost Safety Improvements Pooled Fund Study (ELCSI-PFS), a large-scale study involving 41 state departments of transportation that evaluates unproven, low-cost countermeasures to generate high-quality CMFs. The Human Factors Team studies transportation users’ needs and limitations to minimize human error and enhance public safety. Current focus areas include vulnerable road user safety and the impacts of automation. This team participates in the Traffic Control Device (TCD) Pooled Fund Study, a consortium with 39 stakeholder members that identifies safety issues related to traffic control devices and facilitates collaboration among members. The Transportation Enabling Technologies Team focuses on new technologies to improve safety, efficiency, and mobility. Key areas include cooperative driving automation (CDA), advanced modeling and simulation, and vehicle-infrastructure integration. FHWA leads national efforts to develop and validate concepts for CDA and automated driving systems using open-source software to encourage community collaboration. The Transportation Operations Applications Team develops intelligent transportation systems and connected and automated vehicle application technologies. Researchers use analysis, modeling, and simulation (AMS) tools to evaluate novel transportation solutions and optimize safety and efficiency. Current activities include defining an AMS framework for connected and automated vehicle applications and validating these tools for public agency use. The team also works with states through the Transportation Management Centers Pooled Fund Study to develop technical resources for planning and investing in next-generation transportation management systems. Collectively, these initiatives aim to accelerate market readiness for cooperative automated driving technology and advance safety, security, and artificial intelligence in transportation.
Key finding
The document describes the organizational structure and research priorities of the FHWA Office of Safety and Operations R&D, focusing on teams dedicated to data analysis, human factors, roadway safety, enabling technologies, and operations applications.
Methodology
review
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 (71 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 | — | — | 6 | 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 | 71 | 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