Google wants to use AI to time traffic lights more efficiently

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FILE PHOTO: May 8, 2019, A sign is erected outside the Google office near its headquarters in Mountain View, California, United States. Reuters / Paresh Dave

October 6, 2021

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(Reuters) – Alphabet Inc.’s Google uses artificial intelligence to optimize signal lights to reduce fuel use and traffic delays by 10% to 20% in four locations in Israel, followed by Rio de Janeiro Uses software. The company said it plans to conduct the test on Wednesday. ..

The early-stage research projects are one of Google’s new software initiatives to tackle climate change. Some employees https://medium.com/@googworkersac/ruth-porat-497bbb841b52 and advocate more immediate use of their influence to fight the crisis for the world’s third most valuable company I’m asking you.

Google has not responded to calls from critics to halt funding to oil companies and lawmakers who deny global warming, but has prioritized sustainability features.

Google plans to allow Nest Thermostat users to purchase renewable energy credits for $10 a month to offset emissions from heating and cooling in the coming weeks. Credits come from projects in Texas such as Bethel Wind Farm and Roseland Solar. According to Google, most of the money goes to buy credit and pay utility bills, and the rest isn’t detailed.

Nest users can automatically switch between heating and cooling instantly for hours of clean energy throughout the United States.

A new information panel next to the search results shows worldwide flights and emissions and other environmental assessments of US automobiles and equipment. To prevent false information, English, Spanish and French questions that refer to “climate change” starting this month will include UN clarifications.

Based on early results in Haifa and Beer Sheva, Israel, local transport authorities in Rio de Janeiro have expressed high hopes that AI will improve the timing of traffic light changes. Reuters said the system should be deployed within a few months and the location would be announced soon.

Alexander Stevanovic, an associate professor of civil and environmental engineering at the University of Pittsburgh, said the simulations show that AI can smooth the flow of traffic. But he wondered whether a technology company without transportation engineering expertise could eventually implement such software.

“Every year there are new people who claim we can be surprised,” he said.

(Reporting by Paresh Dave, Additional reporting by Pedro Fonseca in Rio de Janeiro, Edited by Stephen Coates)

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