Signal priority for improving fluidity and decreasing fuel consumption
summary
Built a SUMO-based digital twin of the city center with 262,000 trips (calibrated to 99% against 88,000 daily counts on 24 segments), modeled the partner heavy truck with two load/consumption classes and exact GPS traces, and implemented the 13 intersection phase plans. Three priority strategies are tested (instant green with sensors at 150 m, sensor-optimized placement, and conservative preemption with alpha/beta timing). Results show clear fuel reduction for the partner fleet and improved network fluidity, with simulated teleports under 0.2% and no major negative spillovers.
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