Google is bringing a revolution in traffic in large cities thanks to its Green Light project, which through artificial intelligence is managing to alleviate the flow of cars in large metropolises and help reduce emissions by achieving more fluid circulation where it has been applied.
It is currently being used at 70 intersections in 12 cities including Rio de Janeiro, Seattle, Manchester and Abu Dhabi using driving trends from Google Maps and AI to investigate traffic patterns and make practical recommendations to optimize traffic light scheduling.
Thanks to its use, Google Green Light has the potential to reduce greenhouse gas emissions by 10% at intersections and up to 30% at stops, and can reduce emissions and save fuel for up to 30 million trips. by car every month.
The change for the traffic systems of large cities is very noticeable, since before Green Light they had to resort to a laborious manual counting of vehicles or expensive sensors to analyze the traffic, while now the Google project can analyze thousands of intersections simultaneously and deliver AI-based recommendations that work with existing traffic systems and infrastructure.
Using Green Light, each of these megacities can build a model of each intersection, including traffic light scheduling, traffic patterns such as starting and stopping patterns, structural attributes and how traffic and traffic scheduling interact. traffic lights.
David Atkin, head of analysis and reporting at Transport for Greater Manchester (TfGM) and Rupesh Kumar, who is Joint Commissioner of Police of Calcutta, have assured that with Green Light they have been able to significantly reduce emissions in their cities and that it contributes to a flow more efficient and organized traffic.
