This Combined Synopsis/Solicitation opportunity from Department Of Transportation was posted on April 23, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Experimental and Mathematical Biomechanics Injury Research IDIQ
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The National Highway Traffic Safety Administration (NHTSA) is seeking to establish an Indefinite-Delivery, Indefinite-Quantity (IDIQ) contract to support its Experimental and Mathematical Biomechanics Injury Research (EMBIR) program, aiming to enhance vehicle safety through scientific research into human injury mechanisms in motor vehicle crashes. The contract will be awarded through a full and open competition with no set-aside provisions, requiring all offerors to be registered in SAM.gov, and is anticipated to take effect on October 1, 2026, with a total performance period of up to 60 months consisting of a two-year base period, three one-year options, and one six-month extension. The contract will enable the issuance of task orders under Firm-Fixed-Price, Cost-Plus-Fixed-Fee, or Hybrid structures across four core research domains: Experimental Biomechanics, which involves physical testing to determine human injury tolerance under crash conditions; Anthropomorphic Test Device (ATD) Support, focusing on the development, assessment, and validation of biofidelity and measurement accuracy in crash test dummies; Computational Modeling, which includes creating and refining finite element simulations of the human body and ATDs for virtual crash analysis; and Crash and Injury Data Analysis, applying advanced data science and machine learning techniques to real-world crash datasets to develop injury criteria and improve vehicle safety metrics. The work will be performed primarily by the contractor, with NHTSA’s Office of Vehicle Safety Research in Washington, DC serving as the administrative oversight point, and acceptance of deliverables will be determined by the government based on scientific rigor, model validation, and alignment with NHTSA’s safety objectives. While the solicitation does not specify detailed inspection standards, packaging requirements, or formal evaluation weighting, it implies adherence to established biomechanical benchmarks and requires technical proposals that demonstrate deep expertise across all four domains, with submissions due electronically via SAM.gov no later than June 23, 2026.
General Info
Agency
NAICS
Place of Performance
DC, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full 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 crash-relevant loading conditions and identify the mechanisms and thresholds for injury.
- Anthropomorphic Test Device (ATD) Support: Provide technical expertise to develop and assess ATDs, ensuring biofidelity, durability, and measurement accuracy.
- 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.
- 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.
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