The Cooperative Automated Mobility Innovations (CAMIs) Lab at the University of Georgia is dedicated to building a safer, more sustainable, and efficient transportation system.
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 analyzed to refine and improve modeling strategies.
