Pacific Northwest National Laboratory (PNNL)

The Pacific Northwest National Laboratory team will combine artificial intelligence (AI) and advanced controls, while leveraging CAV and roadside infrastructure advances to transform transportation management. The team’s traffic management system, AutonomIA, will reduce congestion, improve energy efficiency, and reduce emissions across regional transportation systems. The system includes four innovative components: (1) real-time and context-aware transportation state estimation, (2) scalable and computationally efficient traffic forecasting, (3) predictive control, and (4) hierarchical reinforcement learning. AutonomIA’s traffic forecasting and real-time traffic management approach will reduce emissions by leveraging emerging CAV, sensing, and signaling technologies within a unified learning, simulation, and control paradigm to improve system-wide situational awareness and energy efficiency.

AutonomIA will leverage smart and connected technologies embedded within individual automotive vehicles, signals, and sensor systems.