Northeast Ohio Police Departments Adopt AI Tech to Curb Neighborhood Speeding

New data-driven tools help departments identify and address speeding hotspots more efficiently.

Apr. 2, 2026 at 2:05am

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Several police departments in Northeast Ohio, including Fairview Park, Middleburg Heights, and Olmsted Falls, have started using AI-powered technology from Urban SDK to better track and respond to neighborhood speeding complaints. The systems analyze anonymous data from cell phones, GPS, and car insurance to pinpoint where and when speeding is occurring, allowing officers to be deployed more effectively.

Why it matters

Speeding is a major public safety concern in many communities, especially in residential areas with high pedestrian traffic. These new AI tools give police departments a data-driven approach to identify and address speeding hotspots, potentially helping to reduce accidents and protect vulnerable road users like children.

The details

The Fairview Park Police Department, which receives the most speeding complaints of any department in the area, has been using the Urban SDK technology since last fall. It allows them to analyze anonymous data to determine where and when speeding is occurring on the over 100 streets they patrol, so they can better allocate officer resources. Other departments like Middleburg Heights and Olmsted Falls are now also implementing the system for similar purposes.

  • The Fairview Park Police Department began using the Urban SDK technology in the fall of 2025.
  • Middleburg Heights and Olmsted Falls police departments are now in the process of training on and implementing the Urban SDK system.

The players

Fairview Park Police Department

A local police department in Northeast Ohio that receives a high volume of speeding complaints from residents and has adopted the Urban SDK AI technology to better identify and address the issue.

Urban SDK

A technology company that provides AI-powered tools to help police departments analyze anonymous data from cell phones, GPS, and car insurance to track and respond to speeding in local neighborhoods.

Middleburg Heights Police Department

A Northeast Ohio police department that is now beginning to implement the Urban SDK technology after seeing its success in nearby Fairview Park.

Olmsted Falls Police Department

A Northeast Ohio police department that is also in the process of training on and adopting the Urban SDK system to address speeding concerns in their community.

Chad Gluss

The mayor of Olmsted Falls, who emphasized the importance of using the new AI technology to identify and respond to speeding issues, especially around schools and in residential areas with high pedestrian traffic.

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What they’re saying

“We really think it's a safety issue, especially during the school hours, especially during the summer with kids playing out in the street. It's really going to help us identify those issues.”

— Chad Gluss, Mayor of Olmsted Falls

“We found this tool that gave us an indication of where our problems are, what time our problems are occurring, and for us to better allocate our resources.”

— Paul Shepard, Chief, Fairview Park Police Department

What’s next

The Fairview Park Police Department plans to continue using the Urban SDK technology to monitor speeding trends and deploy officers more efficiently. Other departments like Middleburg Heights and Olmsted Falls will be rolling out the system in the coming months.

The takeaway

By adopting data-driven AI tools to identify speeding hotspots, Northeast Ohio police departments are taking a proactive approach to improving public safety and addressing a top community concern. This technology allows them to more effectively allocate limited resources and potentially reduce accidents, especially in areas with high pedestrian traffic.