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Our Mission

Significantly impact the evolution of the U.S. next-generation transportation systems with emerging technologies on safety, mobility, and sustainability. Provide national and regional leadership for connected and automated transportation research, science, education, training, and deployment.

Research Focus

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Photo of Dr. Henry Liu in the Michigan Traffic Lab with text that reads 'Enabling Technology'. The link directs to the page on the CCAT website which features research focused on Enabling Technology.
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Photo illustrating Human Factors research conducted by CCAT. It features an image of a researcher sitting in a custom chair within a van and text that reads 'Human Factors'. The link directs to the page that lists all research projects funded by CCAT focused on human factors.
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Upcoming Events

Promotional Image for the 3rd Annual Next-Generation Transport System conference. The link directs to the event page on the CCAT website.

3rd Annual Conference on Next-Generation Transport Systems
May 16th – 18th

Learn more

Latest News

World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection

World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection Real-time data collected at the two-lane roundabout will be used to efficiently test the safety of autonomous vehicles Photograph of the State Street/Ellsworth Road roundabout which serves as the data collection site for U-M research in Ann Arbor on Thursday, December 1, 2022. Photo: Calvin Tuttle/University of Michigan, College of Engineering, U-M Transportation Research Institute (UMTRI) ANN ARBOR—The first statistically realistic roadway simulation has been developed by researchers at the University of Michigan. While it currently represents a particularly perilous roundabout, future work will expand it to include other driving situations for testing autonomous vehicle software. The simulation is a machine-learning model that trained on data collected at a…

Continue Reading World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection

Nature Publication on simulated vehicles that reduce cost and time of AV testing cover page of March 23, 2023 Issue

Nature Publication on simulated vehicles that reduce cost and time of AV testing cover page of March 23, 2023 Issue From left, Xintao Yan, Haojie Zhu, Shengyin Shen, and Haowei Sun prepare to conduct an autonomous vehicle test run at Mcity on North Campus of the University of Michigan in Ann Arbor on Wednesday, January 18, 2023. Photo: Brenda Ahearn/University of Michigan, College of Engineering, Communications and Marketing The push toward truly autonomous vehicles has been hindered by the cost and time associated with safety testing, but a new system developed at the University of Michigan shows that artificial intelligence can reduce the testing miles required by 99.99%. It could kick off a paradigm shift that enables manufacturers to more…

Continue Reading Nature Publication on simulated vehicles that reduce cost and time of AV testing cover page of March 23, 2023 Issue