(FMVSS) No. 108, Lamps, Reflective Devices, and Associated Equipment and FMVSS No. 125, Warning Devices.
Contract Overview
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AI Contract Overview
This Indefinite Delivery, Indefinite Quantity contract, managed by the NHTSA Office of Acquisition within the Department of Transportation, provides comprehensive research and technical support services focused on vehicle safety technologies. The scope of work encompasses a broad range of activities, including the planning and execution of safety research studies, the testing and evaluation of Advanced Driver Assistance Systems and Automated Driving Systems, and the use of simulation and modeling to analyze vehicle systems and driver behavior. Additional key technical requirements include functional safety assessments of vehicle components, on-road testing, naturalistic driving studies, and safety impact data analysis. The contract also emphasizes emerging technologies, specifically requiring research into cybersecurity and the application of artificial intelligence and machine learning to enhance vehicle safety. This specific award notice relates to Federal Motor Vehicle Safety Standards regarding lamps, reflective devices, and warning equipment, with performance taking place in New York.
General Info
Agency
Contract Value
$900NAICS
Place of Performance
NY, 13045, USASet-Aside
Awardee
Award Issued Date
Documents
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Timeline
Organization & Contact Information
Full Description
The objective of the Indefinite Delivery, Indefinite Quantity (IDIQ) contract provides 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 includes:
- 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
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