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!