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(FMVSS) No. 108, Lamps, Reflective Devices, and Associated Equipment and FMVSS No. 125, Warning Devices (IDIQ)

Awarded
693JJ924D000032Federal

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This Indefinite Delivery, Indefinite Quantity contract, issued by the NHTSA Office of Acquisition under the Department of Transportation, focuses on research and technical support services for vehicle safety technologies. Specifically, the contract pertains to Federal Motor Vehicle Safety Standards regarding lamps, reflective devices, and warning devices. The scope of work involves a broad range of technical activities, including the testing and evaluation of ADAS and ADS technologies, simulation and modeling of driver behavior, and functional safety assessments of vehicle components. Additionally, the contract covers on-road testing, cybersecurity research, and the application of artificial intelligence and machine learning to enhance vehicle safety and data analysis.

General Info

NHTSA IDIQ contract for vehicle safety research, technical support, and automated driving systems evaluation.

Contract Value

$100

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

DC, USA

Set-Aside

NONE

Award Issued Date

Documents

1

Synopsis+Contract+Award++693JJ924D000032+FMVSS+No.+108+and+FMVSS+No.+125+Sapphire.pdf

PDF

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PhaseAwarded
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Organization & Contact Information

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AgencyDepartment Of Transportation → 693JJ9 Nhtsa Office Of Acquistion
Contacts1 person available
OfficeWASHINGTON, DC, 20590, USA
Office AddressWASHINGTON, DC, 20590, USA
Contacts

Full Description

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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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