Learning-Based Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO)
Traffic digital twins provide realistic system-level testbeds for intelligent transportation system applications. Their value depends on how well they reproduce observed traffic conditions, making calibration against data essential. In practice, traffic digital-twin calibration is a black-box optimization problem in wh...