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Although existing optimization models have significantly succeeded in their applications, most still need controllers to intervene during rush hours. To further improve the trajectory optimization performance, this paper proposed a data-driven-based trajectory optimization model that learns human controllers\u2019 experience from historical data and embeds this knowledge into the trajectory optimization model to enhance its performance. Case studies at Guangzhou Baiyun International Airport are conducted to validate the proposed model. Compared with a conventional genetic-algorithm-based trajectory optimization model, the proposed approach\u2014by incorporating real historical trajectory data\u2014demonstrates significantly improved performance in managing arrival flows during peak hours, increasing airspace capacity by approximately 30% under trajectory-based operation conditions. 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