Cooperative Automated Mobility Innovations (CAMIs) Lab at the University of Georgia led by Dr. Qianwen Li & Dr. Handong Yao is committed to the construction of a safer, greener, more efficient, more sustainable, and more equitable transportation system. This vision is realized through a multi-faceted research approach encompassing three main directions.

• Data Collection and Analytics: Employ AI techniques and statistical models to extract insights and pinpoint challenges within existing transportation systems. 

• Traffic Management and Vehicle Control Modeling: Leverage emerging technologies—such as communication, automation, electrification, shared mobility, and smart infrastructure—to develop traffic management strategies and vehicle control models to improve transportation safety and efficiency.

• Real-world Experiments: Create full-scale and reduced-scale testbeds for the validation of theoretical models. Data collected from field experiments is meticulously analyzed to refine and improve modeling strategies.

Together, these interconnected research domains create a continuous improvement loop, contributing to the ongoing advancement of future transportation systems.