Called Project Green Light, Google Research is using Google Maps data and AI to make recommendations to city planners on how specific traffic light controlled intersections can be optimized for ...

They conducted a pilot program in the Detroit suburb of Birmingham using insights from the speed and location data found in General Motors vehicles to alter the timing of that city’s traffic lights.

Google's Project Green Light aims to reduce stop-and-go traffic by up to 30%, cutting down on planet-warming emissions.

Google is analyzing data from its Maps app to suggest how cities can adjust traffic light timing to cut wait times and emissions. The company says it’s already cutting stops for millions of drivers.

Yellow lights are just one of the many problems with stoplights that experts want to improve.

This self-driving startup is using generative AI to predict traffic Waabi says its new model can anticipate how pedestrians, trucks, and bicyclists move using lidar data.

A surprising amount of technology might be making that red light hold you up. Here's how traffic lights detect (or don't detect) your vehicle.

The wild traffic hack that could pave the way for self-driving cars Autonomous vehicles are stupid — so an engineer has figured out a way to make streets smarter.

Google AI traffic test in Boston Project Green Light has been tested at intersections in Fenway-Kenmore, Mission Mill, and Jamaica Plain by changing the timing of the traffic lights there.