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Home » Ongoing Happenings » Google to time traffic lights more efficiently using the latest AI tech
Google to time traffic lights more efficiently using the latest AI tech
The technology has already been tested in four locations across Israel.
Google intends to test the software in Rio de Janeiro in the following weeks.
Google LLC has reduced traffic delays and fuel use by 20% and 10% at four locations across Israel by utilizing artificial intelligence to optimize signal lights. The tech giant intends to test the software in Rio de Janeiro next, cited sources with reliable information.

This news comes shortly after the company’s employees and advocacy groups urged Google to use its influence and resources to combat the climate change crisis.

For the record, critics have been pressing the multinational technology company to stop funding lawmakers who deny global warming and selling technology to oil companies. Google has ignored these calls but is focusing on sustainability features.

The company is planning to allow Nest thermostat users to purchase renewable energy credits for USD 10 per month to counter emissions generated from cooling and heating.

Credits will come from Texas-based projects including Roseland Solar and Bethel Wind Farm. The majority of the funds will go toward utility-bill payment costs and credit purchases.

New informational panels, showing emissions and other environmental ratings of cars and flights globally, will be launched in the United States soon. Queries mentioning climate change will start featuring explanations from the United Nations in multiple languages including French, English, and Spanish, to stem misinformation.

Associate Professor of Civil and Environmental Engineering at the University of Pittsburg, Aleksandar Stevanovic stated that simulations show that AI can ensure that traffic flows smoothly. However, he questioned how a tech company without engineering expertise in traffic systems can bring this software to reality.

Rio de Janeiro’s municipal traffic authority has expressed high hopes regarding this technology and its ability to time traffic signal changes efficiently and stated that the system is expected to be launched in the coming months at various other locations.
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