Advanced Safety Research Multiple Award Indefinite Delivery, Indefinite Quantity (IDIQ)

Closed Pre-Solicitation Posted

Solicitation number
693JJ926R000006
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

Place of performance
United States

Notice details come from SAM.gov. Updated .

About this opportunity

The National Highway Traffic Safety Administration (NHTSA), an agency within the Department of Transportation, is seeking to procure advanced safety research and technical support services through multiple Indefinite Delivery, Indefinite Quantity (IDIQ) contracts. The services encompass a comprehensive range of research activities including vehicle safety research studies, testing and evaluation of Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS), simulation and modeling of vehicle systems, on-road testing, cybersecurity research, and application of artificial intelligence and machine learning to vehicle safety. All work must be performed at contractor facilities located within the continental United States, and offerors may propose to support one or more identified research areas without being required to qualify in all areas. The solicitation is classified under NAICS code 541380 (Testing Laboratories and Services) and PSC code R425 (Support – Professional: Engineering/Technical). The formal solicitation is anticipated to be released in May 2026, with the proposal due date of June 23, 2026, and awards expected to be made prior to the September 1, 2026 performance start date.

This procurement is not designated as a set-aside and will be competed among eligible contractors. The contract period of performance spans 60 months, consisting of one 36-month base period and one optional 24-month extension period, providing substantial long-term engagement opportunities. Task orders under the IDIQ may be structured as Firm-Fixed-Price (FFP), Cost-Plus-Fixed-Fee (CPFF), or hybrid arrangements combining FFP and CPFF elements, allowing flexibility in contract type selection based on the nature of individual task orders. All offerors must be registered in the System for Award Management (SAM) at www.SAM.gov to be eligible for award consideration. While specific award values and budget ranges are not disclosed in this pre-solicitation notice, interested contractors should monitor SAM.gov for the full solicitation release and any subsequent amendments or clarifications.

Notice text

The National Highway Traffic Safety Administration (NHTSA) is an agency of the U.S. Department of Transportation (DOT). NHTSA’s mission is to save lives, prevent injuries, and reduce traffic-related health care and economic costs. The agency develops, promotes, and implements effective educational, engineering, and enforcement programs to reduce vehicle crash-related fatalities and injuries.
The Electronic Systems Safety Division conducts research, testing, and analysis to evaluate how vehicle electronic subsystems impact vehicle safety and to identify countermeasures to mitigate safety risks.
NHTSA’s research portfolio includes work related to Advanced Driver Assistance Systems (ADAS), Automated Driving Systems (ADS), and vehicle cybersecurity. These efforts aim to advance the safe development, testing, and deployment of vehicle safety technologies while addressing emerging risks such as driver distraction, system reliability, and cybersecurity vulnerabilities.
This research complements efforts undertaken by industry, academia, and other government agencies and is intended to advance the state of knowledge and support data-driven safety decision-making.


NHTSA with the capability to issue task orders requiring a wide range of research and technical support services related to vehicle safety technologies.


Work under this contract may include:
- Planning, conducting, and documenting vehicle safety research studies
- Testing and evaluation of ADAS and ADS technologies
- Simulation and modeling of vehicle systems and driver behavior
- Vehicle component testing and functional safety assessments
- On-road testing and naturalistic driving studies
- Safety impact assessments and data analysis
- Cybersecurity research and evaluation
- Application of artificial intelligence (AI) and machine learning (ML) to vehicle safety

Files

Notice history

Notice Type Posted
This notice Latest pre-solicitation Pre-Solicitation
Advanced Safety Research Original Solicitation

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