The Digest’s 2025 Multi-Slide Guide to Improving Network-Wide Fuel Economy and Enabling Traffic Signal Optimization Using Infrastructure and Vehicle-Based Sensing and Connectivity

This project advances traffic management by developing novel sensor fusion techniques, combining radar and camera data to track vehicles through corridors. Optimization methods, constrained by NEMA logic, utilize factors like Truck Speed Priority (TSP). Simulation demonstrates significant fuel consumption reductions, achieving 14.8% improvement over coordinated fixed-time signals. The ultimate goal is to validate a ≥20% system-wide fuel consumption reduction through real-world and Hardware-in-the-Loop testing, informed by accurate trajectory data.