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.
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.
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).
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.
This article was originally published in Catalyst, August 2022.
Connected and automated vehicle (CAV) technology is moving forward, with three pilot shuttle projects on tap in Minnesota this year alone. Rapid developments are leaving little time for planners and policymakers to prepare for the mainstreaming of technology and the evolution of the current transportation system—all while ensuring that transportation equity has a seat in the vehicle.
This article was originally published in Catalyst, August 2022.
A new technology combining nearly autonomous vehicles with remote “tele-operators” has the potential to overcome both the technological and societal hurdles posed by driverless vehicles. Ride-hailing providers will be an important application for remote-driving technology, and U of M researchers found it offers clear advantages for companies and their customers.
This article was originally published in Catalyst, February 2022.
In recent work, researchers in the U’s Department of Industrial and Systems Engineering (ISyE) examined one potentially important application of autonomous vehicle (AV) technology: ride hailing.
Public transportation provides a safe, convenient, affordable, and eco‐friendly mobility service. However, due to its fixed routes and limited network coverage, it is sometimes difficult or impossible for passengers to walk from a transit stop to their destination. This inaccessibility problem is also known as the “transit last mile connectivity problem”.