Category Archives: Automated Vehicle Technology

Future of Mobility: Infrastructure Health and Security

Reprinted from Catalyst, November 9, 2023
—Pam Snopl

What’s next in the future of mobility? Infrastructure is always critical—the challenge of how to fund, protect, and maintain it continues unabated, whether from wear and tear or malicious cyberattacks. 

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Connecting smart vehicles with traffic signals could reduce fuel use

Originally published in Catalyst, July 18, 2022.

Green means go and yellow means go faster—so goes a wry take on driver behavior at traffic signals. But it’s not just travel time that increases when you brake for a red: Fuel consumption does, too. Could transmitting signal data to connected vehicles (CVs) reduce stop-and-go cycles and fuel use? U of M researchers say yes.

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Preparing for the Future of CAVs: Cybersecurity, Winter Weather Research

Connected and automated vehicles (CAVs) hold promise for improving transportation operations—but could also provide pathways for “malicious actors” to compromise vehicle security, said Rafael Stern, a U of M assistant professor, in a recent CTS webinar.

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Future of Mobility: Urban air mobility

June 26, 2023

What’s next in transportation?

The Future of Mobility series collects the perspectives of top U researchers and other national experts. In 17 articles, the authors scan the horizon and reflect on critical transportation topics. Each article recommends action steps for public officials and policymakers.

CTS is highlighting the articles over the course of the year. This month, we explore two aviation-related articles:  Safety and Urban Air Mobility by Demoz Gebre-Egziabher and Advanced Air Mobility by Susan Shaheen and Adam Cohen.

Autonomous aircraft and drones that can move people and goods in new ways are coming to our cities, writes Gebre-Egziabher. Often referred to as urban air mobility (UAM), these new transportation concepts are the flying equivalent of the autonomous car—and they raise just as many important questions about safety, use, and operations. Local communities and agencies are stakeholders that must have a say in safety and provide clear guidance to those developing technologies for UAM, he says.

Shaheen and Cohen write that aviation is undergoing rapid change around the world. A variety of technological advancements and industry investments in electrification, alternative fuels, automation, vertical take-off and landing aircraft, uncrewed aircraft systems, and air traffic management are enabling innovations in aircraft designs, services, and business models. They recommend driving the industry forward with an emphasis on social and environmental benefits, including humanitarian, aeromedical, and emergency response.

Helping automated vehicles ‘see’ through fog and snow

April 18, 2023

While fully automated vehicles (AVs) have not yet reached the roads, the work to get them market-ready is steadily moving forward. One of the essential technologies these vehicles rely on for safety and performance is lidar, which has traditionally experienced a loss of accuracy in bad weather.

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Are we ready for CAVs?

Thousand-mile trek collects data on Minnesota’s readiness for automated vehicles

How ready is Minnesota for connected and automated vehicles (CAVs)? Last August, researchers took a four-day, 1,086-mile trip around the state to find out. A newly published report details the team’s findings for transportation professionals and agencies as they consider how to make improvements to our transportation infrastructure for automated vehicles and driving.

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CTS Joins U-M in CAV Study

CTS joins University of Michigan team awarded $15 million for study.

The US Department of Transportation (USDOT) has awarded $15 million to the University of Michigan and a team of nine Midwestern research partners—including CTS—to help lead the transition to connected and automated vehicles (CAVs).

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Paving the way for smarter and safer AVs

This article was originally posted on Catalyst, January 2023.

There’s been a lot of progress toward self-driving cars in recent years, but we still have a long way to go before the system runs like a well-oiled machine. Even with all the advances in artificial intelligence and machine learning, automated vehicles (AVs) are still not well-equipped to handle crashes, bad weather, poor visibility, and other unexpected situations on the road.

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