Google: With the use of artificial intelligence and Google Maps driving patterns, Google is attempting to lower car pollution emissions by strategically placing traffic lights. The ‘Green Light’ project’s goal is to offer suggestions for improving the current traffic light systems.
How does the Google Green Light project work?
To simulate traffic patterns and offer suggestions for improving current traffic light plans, Google uses AI and driving trends from Google Maps. In less than five minutes, city engineers can put these suggestions into action. Cities can create synchronised waves of green lights, which improve traffic flow and lower emissions from stop-and-go driving, by strategically optimising many nearby crossings.
For each crossing, Google has created AI-based models that take into account the layout, the movement of people through it, the timing of the lights, and how these factors interact. Google produces AI-based optimisations based on these models and provides advice to city engineers.
Which Indian cities have employed this model?
Bangalore, Hyderabad, and Kolkata are just a few of the Indian cities that have already adopted the Google model. Early data from the Green Light experiment, according to Google, indicates a 30% decrease in stops and a 10% reduction in emissions at intersections.
Additionally, Google asserts that this project can reduce pollution and save fuel for up to 30 million car trips each month throughout the 12 locations across the world where it is being implemented.
“Green Light is capable of analysing thousands of intersections simultaneously, improving the flow through multiple intersections in the city,” Google said. Adding, “Our AI-based recommendations work with existing infrastructure and traffic systems, and city engineers are able to monitor the impact and see results within weeks.”
Keep watching our YouTube Channel ‘DNP INDIA’. Also, please subscribe and follow us on FACEBOOK, INSTAGRAM, and TWITTER
