Emission-Based Actuated Traffic Signal Control: A Constrained Exhaustive Grid Search Across Traffic Regimes Using SUMO Simulation
Year: 2026
Type: software
Abstract: Initial public release accompanying the manuscript submitted to Transportation Research Interdisciplinary Perspectives (TRIP). Paper: Emission-Based Actuated Traffic Signal Control: A Constrained Exhaustive Grid Search Across Traffic Regimes Using SUMO Simulation. Authors: Precious Anavberokhai, Marwan Bikdash, Gurcan Comert, Balakrishna Gokaraju, Judith L. Mwakalonge. Contents of this release: Full simulation pipeline (SUMO + TraCI) for baseline actuated control and emission-based actuated control (EBAC). Constrained exhaustive threshold grid-search framework (50 thresholds × 4 regimes × 10 seeds). V2X penetration and fleet-composition sensitivity experiments. All aggregated summary CSVs. All publication-quality figures (PDF + 600-DPI PNG). Regenerable end-to-end via python scripts/publication_figures_ext.py. Headline results: Up to +3.01 % CO₂ savings at breakdown-onset demand. Zero throughput penalty at all constrained-optimum thresholds. Wait time reduced 4.5 – 15.0 % across all four regimes. Statistical significance confirmed at Near-saturation (p = 0.007) and Breakdown onset (p = 0.038). Universal 44 mg/s threshold recommended for deployment without per-site calibration. Note: Raw per-seed telemetry CSVs (~150 GB) are archived separately on Zenodo. Only aggregated summary CSVs are included in this release; the raw dataset can be regenerated locally with python scripts/run_experiment.py.
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7214992425