
Michigan State University is transforming its 5,200-acre campus into a live, connected ecosystem to drive mobility research and development to advance smart-vehicle technology and better understand the human element.
With much of the transformation already complete across its urban, suburban, industrial and rural zones, MSU’s controlled infrastructure and active campus make it ideal to test emerging technologies for new mobility solutions. Those include 5G data transmission, solutions for “first mile/last mile” transportation and validation of technologies for automated and connected vehicle systems.
In addition to advancing technology, MSU is taking a broad, interdisciplinary approach to the many complex factors associated with evolving transportation. Keeping people at the center of the mobility conversation, MSU is focused on sociomobility, which means understanding individual and societal effects.
Adoption of new transportation technology raises many questions. Research and real-world testing is crucial to understand how different populations, businesses and urban planning, for example, could be affected, according to MSU officials. Planners need to ensure the right policies, laws, practices and communication are in place before “smart city” features are introduced at large scale.
“Studying mobility on football or basketball game days, for example, will provide great insights on solutions for safely and efficiently navigating through densely crowded areas,” said Leo Kempel, dean of MSU’s College of Engineering. “In addition to using campus as an ecosystem for research and development of technologies, we are looking to develop the future of human-centric, multi-modal mobility.”
The autonomous vehicle technologies developed by MSU feature state-of-the-art sensors as part of the CANVAS, or Connected and Autonomous Networked Vehicles for Active Safety, initiative. MSU CANVAS researchers are developing multi-modal sensor fusion using radars, lidars, cameras and advanced algorithms designed to create “super-human” artificial intelligence for autonomous driving in four seasons of weather. They also include the university’s advanced-sensing-and-processing technology, which at 97 percent detection accuracy currently, is industry-leading in anticipating pedestrian behaviors.
MSU’s connected campus also includes other leading technology, such as:











