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Motivation

Mobility Optimized by Traditional Ideas and Frontier

Technologies: Our Philosophy to Reduce Traffic Congestion


MOTIF Lab

In this new era of transportation featuring self-driving and machine learning, challenges of reducing traffic congestion are still out there, if not getting worse. We believe such limitations are due to the lack of a good combination of new technologies and old theories. To fill the gap, we are particularly interested in teaching new technologies old tricks, i.e., incorporating traffic flow/network knowledge into self-driving/machine learning for traffic control.

Team News

  • Aug 2024:MOTIF Lab

Our Fundings

  • Project:

Team Members

  • Advisor: Prof. Hao Zhou
  • Members @2024 Fall: Yuhang Wang, Shengming Yuan
  • Members @2025 Fall: Join us!

Some Group Photos