MG-TuRBO achieves better performance than standard TuRBO and genetic algorithms in high-dimensional traffic simulation calibration, especially in 84D settings when using an adaptive acquisition strategy.
Development of a connected corridor real-time data-driven traffic digital twin simulation model
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Interconnected energy and transportation networks are modeled with real city data to quantify robustness to natural or synthetic disruptions using unweighted and weighted connectivity metrics.
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Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
MG-TuRBO achieves better performance than standard TuRBO and genetic algorithms in high-dimensional traffic simulation calibration, especially in 84D settings when using an adaptive acquisition strategy.
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Modeling Disruptions to Urban Metabolism using Interconnected Networks
Interconnected energy and transportation networks are modeled with real city data to quantify robustness to natural or synthetic disruptions using unweighted and weighted connectivity metrics.