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Simulation software specialist, rFpro, has created a highly accurate digital twin of Mcity, a purpose-built facility at the University of Michigan for testing connected and automated vehicles and technologies under controlled, realistic conditions. The digital twin enables vehicle manufacturers and technology suppliers to accelerate development using simulation.

rFpro’s development of an accurate digital twin of Mcity will result in simulated tests that correlate with real world experiments, meaning that customers can prepare ahead of each visit to the real-world site in simulation. Tests at the real-world track can also be used to validate the simulated tests, ensuring that the large-scale testing that can be achieved in simulation, is highly accurate and reliable.

Like its real-world counterpart, the digital twin contains a wealth of different roadside objects and materials to ensure accurate simulation of radar, LiDAR and camera sensors. rFpro used survey-grade LiDAR equipment to capture a digital copy of the environment accurate to less than 1mm. Road layouts, lanes and junctions are described inside rFpro in OpenDRIVE, IPG ROAD5 and SUMO formats. As these are the three main industry standards for road network descriptions, it means the rFpro Mcity digital twin is compatible with all major vehicle and modelling tools.

Situated on a 32-acre site at the University of Michigan and with more than 16 acres of road and traffic infrastructure, Mcity is one of the first purpose-built autonomous-focused proving grounds. The outdoor laboratory simulates the broad range of complexities vehicles may encounter on today’s roads in urban and suburban environments.

“We are excited that rFpro is offering a digital twin of our facility as we believe it will bring significant value to our researchers and industry partners,” said Huei Peng, director, Roger L. McCarthy Professor of Mechanical Engineering, University of Michigan commented. 

“The Mcity Test Facility was purpose-built for safe, repeatable testing of connected and automated vehicles (CAVs) and technologies in a controlled environment. The development of CAVs is safer, faster, and cheaper by strategically combining controlled tests and simulations, rather than relying too heavily on public road testing.”

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