In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S. cities are also worse, these cities are known for difficult driving conditions with hills, bridges, and bikers.

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Tra c signals work with Arti cial Intelligence
venkat k
Nov 15, 2019 · 2 min read
In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S.
cities are also worse, these cities are known for difficult driving conditions with hills,
bridges, and bikers.
Diverse road conditions cause heavy traffic, but companies like Uber are coming to
Pittsburgh to test autonomous vehicles. If traffic technology could work in Pittsburgh, it
could work almost anywhere. And, besides the AV, that traffic technology includes an AI
system called Sertrack, which allows traffic lights to be adapted to traffic conditions
without having to rely on pre-programmed wheels.
At Surtrack installed lights, the team behind the system estimated that travel time was
reduced by 25%, braking by 30%, and idle by more than 40%. It costs about $ 20,000 to

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wire up and install Surtrack at the intersection.
Sertrack works by tracking traffic and creating attendance models. First, hardware
including a computer, camera, or radar device is installed at the intersection. Our track
can then see cars coming from all directions to the intersection. The computer runs a
predictive model and uses it to create a signal timing plan in real-time. Through
communication with the below models, the processing is done in a way that creates a
local plan from multiple data sources. Each intersection controls its own traffic, but by
communicating the expected flows to neighboring intersections, those intersections can
better prepare for incoming traffic.
Our track, which began as a project at Carnegie Mellon, was piloted in 2012 at 12 high-
volume intersections. It now has another 150 at 50 intersections, a grant from the
Federal Highway Administration. In 2015, the project started from Carnegie Mellon as a
company called Rapid Flow Technologies.
Adjusting to the system gives pedestrians maximum waiting time at the lights.
Researchers and students at Carnegie Mellon are working on a side project to create a
mobile phone app to communicate with lights for disabled people who need more time
to cross the street. The system is fully automated but can be pulled up in real-time in real
time if desired or needed. However, Smith said they don’t really expect people to
intervene manually.
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