MOTIF: Mobility Optimized by Traditional Ideas and Frontiers
Our Vision
In this new era of transportation featuring autonomous vehicles (AV), electric vehicles (EV), and artificial intelligence (AI) technologies, challenges of reducing traffic congestion are still persisting, and even getting worse. We believe such limitations are due to the lack of a good combination of new technologies and old theories.
To fill this gap, we are particularly interested in integrating traditional ideas and frontier technologies to optimize future mobility. Our focus is on creating systems that not only enhance the efficiency of transportation networks but also ensure safety, equity, and sustainability.
Research Directions
- Synergizing Traffic Theories and AI: Enhancing traditional traffic flow theories with machine learning models for better congestion management.
- Connected and Autonomous Vehicles: Developing CAV technologies for improved safety and mobility.
- Electric Vehicles: Leveraging EV's superior capabilities to improve traffic flow and energy efficiency'.
- Traffic Operation with Frontier Technologies: Using AI and self-driving techninques for traffic operation and control.