logo
Boston is notorious for traffic delays. Here's how Google has helped change that

Boston is notorious for traffic delays. Here's how Google has helped change that

Yahoo22-05-2025

Last year, with Boston ranked among the world's worst cities for traffic delays, local officials partnered with Google in hopes that its mapping and artificial intelligence software could help untangle the city streets.
The results are encouraging, according to data the city unveiled Thursday, enough so that the program is expanding.
Officials have already used Google data and analytics at more than 100 intersections across the city to retime traffic signals to better match traffic flow. This has led to an average 20% drop in vehicles unnecessarily stopped at those lights, Mayor Michelle Wu's office said.
For example, at the intersection of Atlantic Avenue and Richmond Street, next to Christopher Columbus Waterfront Park in the North End, the improvements reduced traffic delays by 21%, the city said. At the corner of Beacham Street and Maffa Way in Charlestown, delays dropped 24%.
The two intersections saw vehicles unnecessarily stopping roughly a third less often — among the clearest improvements citywide — after officials better coordinated the traffic signals with others nearby, the mayor's office said.
Boston is one of two U.S. cities, along with Seattle, and 18 worldwide, participating in the Google program, known as Project Green Light.
Since partnering with Boston in February 2024, the program has analyzed data from hundreds of city intersections with traffic signals.
'It has been a highly effective tool,' Boston Chief of Streets Jascha Franklin-Hodge said in a statement Thursday. City officials look forward to expanding the traffic analysis to additional intersections, he added.
Read more: Boston seeks to regulate delivery app drivers to preserve safety, reduce traffic
'Small traffic hotspots from mistimed signals or curbside issues' are often the cause of more expansive congestion, Wu said last year when city officials announced the partnership with Google. 'Targeting these micro spots goes a long way.'
The city has used Google's AI-driven recommendations to adjust traffic signals at 114 especially congested intersections across 20 neighborhoods.
Read more: Boston to review, remove some bike and bus lanes, mayor says
The traffic analysis from Google allows Boston's Traffic Management Center to synchronize traffic signals at nearby intersections or change 'green time' between lights to match demand, the mayor's office said. That means 'drivers now spend less time waiting through multiple signal cycles, both reducing how often they are starting and stopping driving and reducing overall traffic delays.'
The city found a 13.5% reduction in traffic delays at intersections where it implemented the program's recommendations, with some locations improving by as much as 24%.
Read more: Cameras on Mass. roads could catch speeders under governor's proposal
An added benefit, the city said, was the reduced environmental impact of cars idling in traffic. Over a year, vehicles could collectively save, on average, an estimated 4,000 gallons of fuel at each adjusted traffic signal.
At Beacham Street and Maffa Way in Charlestown, one of the intersections that benefited most from Google's analytics, drivers could collectively save up to 14,000 gallons of fuel annually.
Big changes expected at Boston Calling 2025 after 'unbearable' crowds last year
11-year-old Holyoke actor lands role in Huntington Theatre musical
Here's who's on the ballot for Boston mayor, City Council — so far
Dorchester teen accused of ramming Boston Police officer with moped
Rising Red Sox prospect records first Double-A hit after early promotion
Read the original article on MassLive.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Posted Jun 13, 2025 at 4:16 PM EDT
Posted Jun 13, 2025 at 4:16 PM EDT

The Verge

time44 minutes ago

  • The Verge

Posted Jun 13, 2025 at 4:16 PM EDT

Google explains Thursday's massive Cloud outage. Yesterday, a global outage on the Google Cloud platform knocked out Google Home, Spotify, Snapchat, and even some Cloudflare features, and today the company released a mini incident report as it continues to investigate. For Cloudflare's part, its report says the Google failure took out a central data store for one of its services. Google: From our initial analysis, the issue occurred due to an invalid automated quota update to our API management system which was distributed globally, causing external API requests to be rejected. To recover we bypassed the offending quota check, which allowed recovery in most regions within 2 hours. However, the quota policy database in us-central1 became overloaded, resulting in much longer recovery in that region.

MicroStrategy's Michael Saylor On Bitcoin's Quantum Computing Risk: 'I Don't Worry About It'
MicroStrategy's Michael Saylor On Bitcoin's Quantum Computing Risk: 'I Don't Worry About It'

Yahoo

timean hour ago

  • Yahoo

MicroStrategy's Michael Saylor On Bitcoin's Quantum Computing Risk: 'I Don't Worry About It'

Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. With increased attention and adoption has come increased scrutiny of Bitcoin risks. Among the risks gaining increased attention in recent months is the threat of quantum computing. The fear is that supercomputers will soon emerge that can break Bitcoin's cryptography, putting user assets at risk. But as scary as this potential reality sounds, MicroStrategy (NASDAQ:MSTR) Chair Michael Saylor has said that he is not losing sleep over it. If there is anyone that should be concerned, it is Saylor. Don't Miss: — no wallets, just price speculation and free paper trading to practice different strategies. Grow your IRA or 401(k) with Crypto – . Over the past five years, he has spearheaded an aggressive Bitcoin treasury strategy at the erstwhile business software intelligence firm, which has seen it accumulate 582,000 BTC, currently worth over $63 billion. 'I don't worry about it,' he told CNBC last week, referring to the potential quantum computing threat to Bitcoin. Saylor claimed the recent fuss over quantum computing developments and how it could impact Bitcoin was a marketing ploy by projects seeking to position their assets as an alternative to Bitcoin. 'It's mainly marketing by people that want to sell you the next quantum yo-yo token,' he said. 'Look, Google and Microsoft aren't going to sell you a quantum computer that cracks modern cryptography because it would destroy Google and Microsoft and the US government and the banking system.' Trending: New to crypto? on Coinbase. Saylor said that quantum computing was unlikely to become a genuine concern for Bitcoin for another 10 or 20 years. And then, he said, that like Microsoft (NASDAQ:MSFT), Google and the traditional banking system, Bitcoin would simply upgrade its software. Saylor's unnerved stance comes despite recent Google research suggesting that it may now take 20 times fewer quantum resources to crack RSA encryption, which likely indicates a faster-than-expected timeline for cracking Bitcoin's Elliptic Curve Cryptography as well. Quantum computing firm Project 11 launched a competition in April to settle the question of how urgent the threat is to Bitcoin. The firm challenged teams and individuals to attempt to break the longest ECC key they can from a selection of 1 to 25 bits for a chance to win 1 BTC. The competition will end on April 5, 2026. Unlike Saylor, Project 11 said that it believed quantum computers could break Bitcoin's wallet encryption within the decade, putting billions in user assets in exposed wallet addresses at risk. The firm estimates that 6.3 million BTC, currently worth over $648 billion, is at risk. Read Next:Deloitte's fastest-growing software company partners with Amazon, Walmart & Target – Image: Shutterstock This article MicroStrategy's Michael Saylor On Bitcoin's Quantum Computing Risk: 'I Don't Worry About It' originally appeared on Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Exclusive-Google, Scale AI's largest customer, plans split after Meta deal, sources say
Exclusive-Google, Scale AI's largest customer, plans split after Meta deal, sources say

Yahoo

timean hour ago

  • Yahoo

Exclusive-Google, Scale AI's largest customer, plans split after Meta deal, sources say

By Anna Tong, Kenrick Cai and Krystal Hu SAN FRANCISCO (Reuters) -Alphabet's Google, the largest customer of Scale AI, plans to cut ties with Scale after news broke that rival Meta is taking a 49% stake in the AI data-labeling startup, five sources familiar with the matter told Reuters. Google had planned to pay Scale AI about $200 million this year for the human-labeled training data that is crucial for developing technology, including the sophisticated AI models that power Gemini, its ChatGPT competitor, one of the sources said. The search giant already held conversations with several of Scale AI's rivals this week as it seeks to shift away much of that workload, sources added. Scale's loss of significant business comes as Meta takes a big stake in the company, valuing it at $29 billion. Scale was worth $14 billion before the deal. Scale AI intends to keep its business running while its CEO, Alexandr Wang, along with a few employees, move over to Meta. Since its core business is concentrated around a few customers, it could suffer greatly if it loses key customers like Google. In a statement, a Scale AI spokesperson said its business, which spans work with major companies and governments, remains strong, as it is committed to protecting customer data. The company declined to comment on specifics with Google. Scale AI raked in $870 million in revenue in 2024, and Google spent some $150 million on Scale AI's services last year, sources said. Other major tech companies that are customers of Scale's, including Microsoft, are also backing away. Elon Musk's xAI is also looking to exit, one of the sources said. OpenAI decided to pull back from Scale several months ago, according to sources familiar with the matter, though it spends far less money than Google. OpenAI's CFO said on Friday that the company will continue to work with Scale AI, as one of its many data vendors. Companies that compete with Meta in developing cutting-edge AI models are concerned that doing business with Scale could expose their research priorities and road map to a rival, five sources said. By contracting with Scale AI, customers often share proprietary data as well as prototype products for which Scale's workers are providing data-labeling services. With Meta now taking a 49% stake, AI companies are concerned that one of their chief rivals could gain knowledge about their business strategy and technical blueprints. Google, Microsoft and OpenAI declined to comment. xAI did not respond to a request for comment. RIVALS SEE OPENINGS The bulk of Scale AI's revenue comes from charging generative AI model makers for providing access to a network of human trainers with specialized knowledge - from historians to scientists, some with doctorate degrees. The humans annotate complex datasets that are used to "post-train" AI models, and as AI models have become smarter, the demand for the sophisticated human-provided examples has surged, and one annotation could cost as much as $100. Scale also does data-labeling for enterprises like self-driving car companies and the U.S. government, which are likely to stay, according to the sources. But its biggest money-maker is in partnering with generative AI model makers, the sources said. Google had already sought to diversify its data service providers for more than a year, three of the sources said. But Meta's moves this week have led Google to seek to move off Scale AI on all its key contracts, the sources added. Because of the way data-labeling contracts are structured, that process could happen quickly, two sources said. This will provide an opening for Scale AI's rivals to jump in. "The Meta-Scale deal marks a turning point," said Jonathan Siddharth, CEO of Turing, a Scale AI competitor. "Leading AI labs are realizing neutrality is no longer optional, it's essential." Labelbox, another competitor, will "probably generate hundreds of millions of new revenue" by the end of the year from customers fleeing Scale, its CEO, Manu Sharma, told Reuters. Handshake, a competitor focusing on building a network of PhDs and experts, saw a surge of workload from top AI labs that compete with Meta. "Our demand has tripled overnight after the news," said Garrett Lord, CEO at Handshake. Many AI labs now want to hire in-house data-labelers, which allows their data to remain secure, said Brendan Foody, CEO of Mercor, a startup that in addition to competing directly with Scale AI also builds technology around being able to recruit and vet candidates in an automated way, enabling AI labs to scale up their data labeling operations quickly. Founded in 2016, Scale AI provides vast amounts of labeled data or curated training data, which is crucial for developing sophisticated tools such as OpenAI's ChatGPT. The Meta deal will be a boon for Scale AI's investors including Accel and Index Ventures, as well as its current and former employees. As part of the deal, Scale AI's CEO, Wang, will take a top position leading Meta's AI efforts. Meta is fighting the perception that it may have fallen behind in the AI race after its initial set of Llama 4 large language models released in April fell short of performance expectations.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store