Generated and Used Data for Aircraft Mass Estimation Considering Temperature Variations Based on Optimal Control Theory and Statistical Learning

This dataset was used and generated for the paper "Aircraft Mass Estimation Considering Temperature Variations Based on Optimal Control Theory and Statistical Learning." The paper presents novel methods for estimating commercial aircraft takeoff mass using open data and open-source tools. The proposed approach is based on optimal control theory and the generation of a fuel-optimal flight dataset, which is included in the data.zip file. Validation was performed using EUROCONTROL PRC Data Challenge 2024 data. The corresponding code is available at https://github.com/dus42/optimass.本数据集为论文《考虑温度变化、基于最优控制理论与统计学习的商用飞机起飞质量估算》所生成并使用。该论文提出了基于开放数据与开源工具的商用飞机起飞质量估算新方法。所提方法依托最优控制理论（Optimal Control Theory）构建，同时生成了燃油最优飞行数据集，该数据集已收录于data.zip压缩包中。本研究采用欧洲空中航行安全组织（EUROCONTROL）PRC数据挑战赛2024的数据集完成了方法验证。对应的开源代码可通过链接https://github.com/dus42/optimass获取。