New SS4A Funding Opportunity Announced—Iteris Can Help

1 min. Read • Posted 02/29/2024 by Jeff Venables

The next USDOT Notice of Funding Opportunity has been announced for the IIJA Safe Streets and Roads for All (SS4A) grant program:

FY24 SS4A Notice of Funding Opportunity | US Department of Transportation

The SS4A program funds regional, local and tribal initiatives through grants to prevent deaths and serious injuries on U.S. roadways. The FY24 SS4A NOFO has multiple application deadlines depending on the grant type.

Key dates:

  • April 4, 2024: Deadline #1 for Planning and Demonstration Grants.
  • May 16, 2024: Sole deadline for Implementation Grants. Deadline #2 for Planning and Demonstration Grants.
  • August 29, 2024: Deadline #3 for Planning and Demonstration Grants. NOFO closes.

Planning and Demonstration Grant applicants may apply during any of the three application rounds. Applications not received by the first or second deadline will be rolled over to the next application round.

Unsuccessful Implementation Grant applicants may apply for a Planning and Demonstration Grant application in the final application round on August 29, 2024.

Do you have further questions about this federal grant-funds capture opportunity? Request free help from an Iteris grant funding expert today.

About the Author

Jeff Venables is marketing manager, smart mobility applications at Iteris.

Connect with Jeff Venables on LinkedIn

Related Posts

Iteris at ITS World Congress 2025: Innovation, Impact & Insights in Atlanta

5 min. Read • Posted 08/13/2025 by
We’re heading to Atlanta—and bringing our biggest presence yet to ITS World Congress 2025See More >

National Stop on Red Week: Stop on Red, Save a Life

2 min. Read • Posted 08/04/2025 by
National Stop on Red Week is more than a campaign… it’s a call to action. A reminder that every stop matters. Every decision behind the wheel can save a life.See More >

Not All AI Is Created the Same: Inside Our AI Detection System

4 min. Read • Posted 07/23/2025 by Michael Whiting
Before the rise of AI-powered detection, we relied on what is now called traditional machine vision (MV). Any technically competent person could set up a processor, download a detection algorithm from the cloud, plug in a video source and start detecting vehicles. These systems have been prevalent over the years and appeared effective, but often relied on an optimal field of view and near-perfect weather conditions. See More >

Subscribe to Our Newsletter

Receive smart mobility news and analysis direct to your inbox.