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A Bayesian Optimization approach for calibrating large-scale activity-based transport models
The use of Agent-Based and Activity-Based modeling in transportation is rising due to the capability of addressing complex applications such as disruptive trends (e. g., remote working and automation) or the design and assessment of disaggregated management strategies.
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