With the advent of driverless vehicles and ride-sharing in an age of continued urbanization, climate change and pollution, we are undoubtedly at the brink of the next transportation revolution. Data science is at the center of this revolution. The collection of data on transportation and driver behavior is no longer a bottleneck; our current challenge is to develop sophisticated data analysis and interpretation that impact the design of future transportation to address challenges including automation, climate change and urban inequality. The MIDAS Transportation Research Hub aims to position U-M researchers at the forefront of our nation’s Big Data transportation research, develop innovative methods and tools, and apply the insight to solve real-world transportation challenges. The MIDAS Data-Intensive Transportation Research Hub currently funds two projects. Through a variety of hub activities, MIDAS hopes to:
- Disseminate tools and methods to empower campus-wide transportation research.
- Build a collaborative network of Big Data transportation researchers across the U-M campus.
- Form industry partnerships and transform research findings into the next generation of transportation systems.
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