NHTSA Sources Sought: Advanced Safety Research (ASR) IDIQ

Notice ID: 693JJ925RQ000068

The National Highway Traffic Safety Administration (NHTSA) is issuing this Sources Sought Notice to identify potential qualified Small Business (SB), Small Disadvantaged Business (SDB), 8(a) Certified SDB, HUBZone SB, Service Disables Veteran Owned Small Business (SDVOSB), or Women Owned Small Business (WOSB) concerns that may be interested in and capable of performing the work described herein  and as listed in the attached draft SOW, NSR-330 is conducting market research to locate qualified, experienced, and interested parties. These parties should be able to support safety research in the following four broad domains: Advanced Safety Technologies, Automated Driving Systems (SAE driving automation levels 3 to 5), Cybersecurity and Functional Safety of vehicle electronic components and subsystems.

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.

Read more here.

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