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Vehicle Electronic Systems and Intelligent Technologies Research IDIQ

Active
Federal

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Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The Vehicle Electronic Systems and Intelligent Technologies Research IDIQ, also known as NHTSA NSR-300, is a contract vehicle designed to establish Indefinite Delivery/Indefinite Quantity agreements between the National Highway Traffic Safety Administration and qualified contractors. The primary mission is to conduct research that builds a scientific foundation for the safe deployment of advanced safety technologies, including Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). The scope of work covers four broad domains: advanced safety technologies, automated driving systems, cybersecurity, and the functional safety of vehicle electronic components and subsystems. To achieve these goals, NHTSA collaborates with a diverse group of stakeholders, including vehicle manufacturers, technology suppliers, NIST, SAE International, and various federal agencies. Contractors under this IDIQ will provide technical support across seven specific research areas, which include controlled-environment test track research, virtual simulation and modeling, vehicle component testing, on-road and naturalistic studies, safety impact assessments, cybersecurity, and the application of artificial intelligence and machine learning methods. This initiative aims to advance the understanding of intelligent technologies and fundamental vehicle systems such as braking, steering, and lighting. The solicitation is managed by the Department of Transportation and focuses on providing the necessary technical expertise to ensure the safety and security of evolving automotive technologies.

General Info

NHTSA IDIQ contract for research on advanced safety, automated driving, and vehicle cybersecurity.

NAICS

541380 - Testing Laboratories and Services

Place of Performance

USA

Set-Aside

NONE

Documents

0

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Organization & Contact Information

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AgencyDepartment of Transportation → National Highway Traffic Safety Administration (NHTSA)
Contacts2 people available
OfficeN/A

Full Description

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The mission of NHTSA NSR-300 is to formulate and conduct research programs that build the scientific basis for advancing the safe deployment of advanced safety technologies, including ADAS and ADS components and Advanced Safety Research (ASR) IDIQ systems. NSR-300 also supports vehicle cybersecurity and human factors research related to ADAS and ADS systems. In completing such research, NHTSA and its research partners collaborate with and leverage input from a wide range of stakeholders including, but not limited to, the following: Original Equipment Manufacturers (OEMs), ADAS and ADS technology providers and suppliers, the National Institute of Standards and Technology (NIST), SAE International, other countries, other U.S. DOT modes, and other Federal agencies.
The purpose of this solicitation action (hereafter referred to as the Advanced Safety Research or ASR IDIQ) is to establish IDIQ contracts between NHTSA and qualified contractors (or contractor teams) to support safety research in the following four broad domains. These four domains are in direct relationship to the seven (7) research areas below: Advanced Safety Technologies (crash avoidance systems, driver assistance systems, other intelligent technologies, and fundamental vehicle systems such as tires, brakes, steering, and lighting) •Automated Driving Systems (SAE driving automation levels 3 to 5) •Cybersecurity •Functional Safety of vehicle electronic components and subsystems. •The tasks and experiments performed under the ASR IDIQ Contract will provide the technical support needed by NHTSA in seven Research Areas (RAs) listed below: 1.Controlled-Environment Evaluation (Test Track Research) 2.Virtual Testing (Simulation & Modeling) 3.Vehicle Component Testing and Functional Safety Assessments 4.On-Road Testing and Naturalistic Studies 5.Safety Impact Assessment Support 6.Cybersecurity 7.Artificial Intelligence (AI) / Machine Learning (ML) Methods, Algorithms, and Software.

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