There’s no question drivers won’t mind hitting a few more green lights on their way to work.īut the environmental impacts will depend on the scale of implementation and the specific traffic conditions of each city, Yang said. “The advantage of AI over traditional methods lies in its ability to handle and analyze this data much more efficiently and accurately,” he said. There are, however, several benefits of using AI to tackle traffic flow.Īlgorithms can learn from historical traffic data to understand typical patterns, peak hours and common congestion points.ĪI can simulate various traffic scenarios to find the most efficient configurations.Īnd AI is adept at collecting and processing large volumes of data from various sources, such as traffic cameras, sensors and vehicles. “This involves anonymizing and aggregating data so that individual users cannot be identified.” “Google must ensure that the data used for traffic management does not compromise individual privacy,” he said. There are concerns with data quality and bias, privacy, adaptability and reliability, Yang said. But the field is evolving and not without its challenges. “Actually, the marriage of AI and transportation is a stellar example of technological synergy,” Yang said Friday via email.ĪI has the potential to revolutionize our approach to navigating and managing traffic, he said. Hao “Frank” Yang, an AI expert who has studied traffic signal operations, called Google’s project “promising.” Rothenberg told CBS that a shift of only a few seconds at traffic lights can have a big impact.Ī Seattle traffic engineer told CBS that in one case they simply moved four seconds from a north-south street to an east-west street for a particular time of day to reduce stop-and-go traffic. Department of Energy report says idling for more than 10 seconds uses more fuel and emits more carbon dioxide than engine restarting. Google says pollution can be 29 times higher at city intersections than on open roads. "Intersections are a really good leverage point for tackling climate," Google's Juliet Rothenberg told CBS News. Google says they can potentially reduce the number of stops by 30% and vehicle emissions at intersections by 10%. The tech giant is using AI and Google Maps data to model travel patterns and make recommendations to city officials for optimizing their traffic lights. Google says it’s in the early research phase of the project and is inviting cities to apply for no-cost participation. Project Green Light is live at 70 intersections in about a dozen cities around the world, including Seattle. Google’s Project Green Light has a twofold mission: improve the lives of commuters by reducing stop-and-go traffic, while also cutting down on vehicle emissions to improve the air quality in our cities. (TND) - Seattle and Google are tapping into the power of artificial intelligence to help improve the flow of traffic.
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