GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control
Nilesh Suriyarachchi, Rohan Chandra, Arya Anantula, John S. Baras,, Dinesh Manocha

TL;DR
GameOpt+ is a hybrid cooperative control method that significantly improves fuel efficiency, throughput, and travel time in complex, unregulated traffic intersections by combining auction mechanisms with real-time trajectory optimization.
Contribution
It introduces GameOpt+, a novel hybrid approach that operates efficiently in high-density, unregulated traffic, outperforming existing methods in speed, fairness, and fuel savings.
Findings
Increases throughput by at least 25%
Reduces travel time to goal by at least 70%
Decreases fuel consumption by 50%
Abstract
Better fuel efficiency leads to better financial security as well as a cleaner environment. We propose a novel approach for improving fuel efficiency in unstructured and unregulated traffic environments. Existing intelligent transportation solutions for improving fuel efficiency, however, apply only to traffic intersections with sparse traffic or traffic where drivers obey the regulations, or both. We propose GameOpt+, a novel hybrid approach for cooperative intersection control in dynamic, multi-lane, unsignalized intersections. GameOpt+ is a hybrid solution that combines an auction mechanism and an optimization-based trajectory planner. It generates a priority entrance sequence for each agent and computes velocity controls in real-time, taking less than 10 milliseconds even in high-density traffic with over 10,000 vehicles per hour. Compared to fully optimization-based methods, it…
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Taxonomy
TopicsTraffic control and management · Vehicle emissions and performance · Transportation Planning and Optimization
