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One of the promising opportunities offered by AI to support the decarbonization of electricity grids is to align demand with low-carbon supply. We evaluated the effects of one of the world’s largest AI managed EV charging tariffs (a retail electricity pricing plan) using a large-scale natural field experiment. The tariff dynamically controlled vehicle charging to […]
The availability of large-scale, high-resolution, and consistently collected road data will improve the safety of all road users. The use of artificial intelligence (AI), machine learning (ML), and big data is key in providing the information needed to power data-driven, public, and proprietary safety analysis tools, as well as predictive and other systemic safety tools. […]
As America’s aging roads fall further behind on much-needed repairs, cities and states are turning to artificial intelligence to spot the worst hazards and decide which fixes should come first. Hawaii officials, for example, are giving away 1,000 dashboard cameras as they try to reverse a recent spike in traffic fatalities. The cameras will use AI to automate inspections of guardrails, […]
The availability of large-scale, high-resolution, and consistently collected road data will improve the safety of all road users. The use of artificial intelligence (AI), machine learning (ML), and big data is key in providing the information needed to power data-driven, public, and proprietary safety analysis tools, as well as predictive and other systemic safety tools. […]
Recent growth in AI capabilities has spurred a corresponding rise in public interest. Developments in generative AI—which can create text, images, audio, video, and other content when prompted by a user—have revolutionized how the technology can be used in many industries. However, generative AI has risks such as spreading misinformation and presenting national security and […]
Generative Artificial Intelligence (AI) is redefining how people interact with public information and shaping how public data are consumed. Recent advances in large language models (LLMs) mean that more Americans are getting answers from AI chatbots and other AI systems, which increasingly draw on public datasets. The federal statistical community can take action to advance […]
The availability of large-scale, high-resolution, and consistently collected road data will improve the safety of all road users. The use of artificial intelligence (AI), machine learning (ML), and big data is key in providing the information needed to power data-driven, public, and proprietary safety analysis tools, as well as predictive and other systemic safety tools. […]
Artificial intelligence (AI) has revolutionized various areas in departments of transportation (DOTs), such as traffic management and optimization. Through predictive analytics and real-time data processing, AI systems show promise in alleviating congestion, reducing travel times, and enhancing overall safety by alerting drivers to potential hazards. AI-driven simulations are also used for testing and improving transportation […]
Artificial intelligence (AI) has revolutionized various areas in departments of transportation (DOTs), such as traffic management and optimization. Through predictive analytics and real-time data processing, AI systems show promise in alleviating congestion, reducing travel times, and enhancing overall safety by alerting drivers to potential hazards. AI-driven simulations are also used for testing and improving transportation […]
This report formally presents TTAC’s recommendations to USDOT on these four topics. Although transportation encompasses more than walking, biking, driving, and riding, the Committee’s primary expertise and hence its advice center on surface transportation. Several key themes cut across TTAC’s recommendations. Read the full study here.