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Transportation Communications

Energy Networks and Grid Intelligence

Aging Bridges at Digital Crossroads

Data-Driven Manufacturing

What if your car could communicate with everything around it – other cars, stop lights and even mapping services? That’s the idea behind vehicle-to-everything (V2X) technology. It can be used to alert you when bridges are icy, and it can also enable cooperation among cars to prevent traffic jams.

“Concepts like cooperative adaptive cruise control enable information sharing between cars, including the behavior of upstream vehicles on traffic problems down the road. This information, along with speed advisories, will help in reducing the effect of bottlenecks in traffic and hopefully avoid them altogether.”

Bilin Aksun-Guvenc
IEEE Member

Electricity grids have three core functions: the generation, transmission and distribution of power. Operators want to enhance efficiency, meet fluctuating demands without compromising quality and reduce or eliminate use of non-renewable energy sources and minimize costs.

“Considering that a lot of structured data is available in automated grids, this data is a great source to train AI systems and enable predictive actions for effective maintenance, load management, cost management and energy source selection.”

Aiyappan Pillai
IEEE Senior Member

The systematic collection of real-time data has become an increasingly present feature in infrastructure processes, from planning to construction to operations. It’s transforming the industry by enhancing efficiency, decision-making and predictive capabilities.

“IoT technology is making our roads, bridges, railroads and ports safer and more efficient. For example, it is possible to detect early degradation of a bridge or a road and perform corrective maintenance before it is perceived by users, reducing costs and risks.”

Juan Galindo
IEEE Member

Digital twins can simulate manufacturing processes so products can be produced and tested virtually — before spending the time, cost and energy to make the real thing. Using data from sensors and IoT devices, they can be built to represent an entire production line, a major infrastructure project, a single machine or even a product.

“Digital twin and industrial metaverse technologies are bridging the gap between simulation and reality by facilitating all phases of the infrastructure lifecycle from planning to implementation and evaluation. They are transforming the way people interact with infrastructure, just as the Internet has transformed the way people interact with information.”

Houbing Song
IEEE Fellow

AI in Infrastructure: Explore the Transformation

Dark Data Steps Into the Infrastructure Spotlight

Over the past decade, storage costs for data have plummeted. But much of that data has gone unanalyzed. A look at how AI is taking this so-called "dark data" and making it useful.

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Garbage In, Data Out: 4 Ways AI Can Transform Waste Management

Waste management is one of the foundations of society. Without it, we wouldn’t have functioning cities. Here’s how artificial intelligence is revolutionizing this vital service.

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New Jobs in Infrastructure

In developed countries, workers in the infrastructure sector are facing looming retirements. Owners and operators of infrastructure are turning to technology to ease the shortage.

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Driven by Data: Fueling EVs

Electric vehicles are having a profound impact on global infrastructure. From urban planning to energy management, data is instrumental in seamlessly integrating EVs into the fabric of daily life.

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