As road transportation continues to contribute significant greenhouse gas emissions globally, an initiative by Google Research called Green Light is using artificial intelligence (AI) to manage traffic lights and reduce emissions, specifically at city intersections.
Google has identified intersections that are pollution hot spots, with emissions that can be 29 times higher than open roads. Interestingly, about half of these emissions come from vehicles stopping and starting. While some stop-and-go traffic is inevitable, Google believes it can prevent a part of it by improving the timing of traffic lights.
Traditionally, cities had two options for managing traffic lights - installing expensive sensor hardware or manually counting vehicles, both of which provide incomplete information.
Google Research has come up with a third option— using AI and data from Google Maps driving trends to model traffic patterns and recommend new timing configurations. The project has been deployed across 70 intersections in 12 cities globally, including Bangalore, Hyderabad and Kolkata.

