Skip to content

How Big Data Can Help Prevent Deaths By Speeding

What if you could reliably pinpoint the street segments all over the country where speeding traffic poses a constant threat to life and limb?
How Big Data Can Help Prevent Deaths By Speeding
The real threat.

What if you could reliably pinpoint the street segments all over the country where speeding traffic poses a constant threat to life and limb? That could be a very powerful tool to identify and redesign dangerous streets.

At a time when traffic fatalities are rising rapidly and the National Transportation Safety Board acknowledges that excessive vehicle speeds contribute to America’s sky-high traffic death rate, the time is ripe for that kind of analysis.

Two transportation researchers say a national map of dangerous traffic speeds could be possible. Eric Sundquist and Michael Brenneis at the State Smart Transportation Initiative report that U.S. DOT has purchased a vast set of traffic speed data collected by the firm INRIX, which it will share with state DOTs.

The feds aren’t thinking about analyzing speed as a safety problem, however. “The US DOT is buying the data from INRIX so that DOTs can comply with performance measure requirements around delay and reliability,” Sundquist and Brenneis write. In other words, U.S. DOT is thinking about congestion and traffic delay.

But with the data now in the hands of state DOTs, Sundquist and Brenneis say there’s no reason it can’t be used to save lives:

One application we haven’t seen — and we’d like to hear from anyone doing it or interested in doing so — is for speed management.

The notion is simple: The data provide average speeds by time and place, which can pinpoint congestion and reliability issues. They also indicate areas with excessive traffic speed. And while federal performance measures focus on the former, it’s possible to imagine speed management measures as well.

And in fact some exist. This is a measure established by the city of Los Angeles: “Ensure that 80% of street segments do not exceed targeted operating speeds by 2035.”

The data isn’t as fine-grained as detailed speed studies, which capture the distribution of driver speeds, not just the average. But Sundquist and Brenneis believe that average speed can still be a useful metric to identify dangerous conditions. They’re asking researchers who want to refine these ideas to contact them.

More recommended reading today: Plan Philly reports on SEPTA’s plans to improve service and increase ridership by redesigning its network of 126 bus routes. And Better Burque shares photos of “Suddenly Ending Bike Lanes” around Albuquerque.

Photo of Angie Schmitt
Angie is a Cleveland-based writer with a background in planning and newspaper reporting. She has been writing about cities for Streetsblog for six years.

Read More:

Comments Are Temporarily Disabled

Streetsblog is in the process of migrating our commenting system. During this transition, commenting is temporarily unavailable.

Once the migration is complete, you will be able to log back in and will have full access to your comment history. We appreciate your patience and look forward to having you back in the conversation soon.

More from Streetsblog New York City

Opinion: Sean Duffy’s ‘Golden Age’ of Dangerous Streets

Ethan Andersen
December 15, 2025

‘I’m Always on the Bus’: How Transit Advocacy Helped Katie Wilson Become Seattle’s Next Mayor

December 12, 2025

Watchdog Wants Hochul To Nix Bus Lane Enforcement Freebies for MTA Drivers

December 11, 2025

More Truck Routes Are Coming To A Street Near You

December 11, 2025

Upstate County’s New Bus Service Will Turn A Transit Desert Into A Rural Network

December 11, 2025
See all posts