Experimental and Mathematical Biomechanics Injury Research IDIQ
Presolicitation from the National Highway Traffic Safety Administration. Due Nov 30, 2026, 3:00 PM (UTC-5), 43 days left.
| Solicitation number | 693JJ927R000001 |
|---|---|
| Agency | National Highway Traffic Safety Administration |
| Office | 693JJ9 Nhtsa Office of Acquistion |
| Notice type | Presolicitation |
| Set-aside | None |
| Trade (NAICS) | Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715) |
| Product or service code | AJ12 |
| Posted | Oct 15, 2026 |
| Response deadline | Nov 30, 2026, 3:00 PM (UTC-5) (43 days left) |
Official notice and attachments
Description
The National Highway Traffic Safety Administration (NHTSA) is committed to saving lives, preventing injuries, and reducing traffic-related health care and economic costs. As part of that mission, the Office of Vehicle Safety Research (OVSR) supports a robust scientific research program to provide the technical foundation for NHTSA’s vehicle and traffic safety initiatives. This procurement seeks to establish an Indefinite Delivery, Indefinite Quantity (IDIQ) contract to support NHTSA’s Experimental and Mathematical Biomechanics Injury Research (EMBIR) program.
The IDIQ will enable the issuance of Task Orders (TOs) that require a broad range of specialized research, analysis, and technical support services related to human injury mechanisms and prevention in motor vehicle crashes. The contractor shall provide services across the following four research domains: Experimental Biomechanics: Conduct physical testing to evaluate human injury tolerance under crashrelevant loading conditions and identify the mechanisms and thresholds for injury.
1.Anthropomorphic Test Device (ATD) Support: Provide technical expertise to develop and assess ATDs, ensuring biofidelity, durability, and measurement accuracy. 2.Computational Modeling: Develop and utilize advanced computational models (e.g., finite element models of the human body and ATDs) to simulate crash scenarios, validate injury mechanisms, and support virtual testing environments.
3.Crash and Injury Data Analysis: Analyze real-world crash data, ATD testing, and experimental research to support injury criteria development, identify emerging crash trends, and enhance vehicle safety metrics. Data science tools such as AI/machine learning may be applied to enhance insights from large-scale datasets.