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一个铁路网络数据集,包含多种类型的列车运行记录和列车时间表
Jianqing Wu1, Xukai Xiao1, Yitao Zhou1
1School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi Province, 341000, China.
Scientific data
|December 13, 2025
概括
本研究介绍了意大利铁路网络数据集,这是列车运营和调度数据的全面资源. 这一结构化数据集支持智能运输系统和铁路网络分析研究.
科学领域:
- 运输科学 运输科学
- 数据科学数据科学数据科学
- 网络分析 网络分析
背景情况:
- 现有的铁路数据集往往不标准化或不完整,阻碍了研究.
- 整合火车运行和调度的公开可用的数据集很少.
- 需要结构化数据来研究大型复杂的铁路网络.
研究的目的:
- 介绍意大利铁路网络数据集.
- 为铁路研究提供一个全面的,结构化的数据集.
- 支持智能交通系统和网络分析方面的进步.
主要方法:
- 为多种列车类型编制运行记录.
- 站点位置,站际里程和天气数据的整合.
- 包含详细的列车时间表信息.
主要成果:
- 介绍意大利铁路网络数据集,提供结构化的运营和调度数据.
- 该数据集包括火车运营,车站详细信息,里程,天气和时间表.
- 方便时空模式挖掘,网络拓分析和延迟传播研究.
结论:
- 该数据集使铁路运营和智能运输领域的先进研究成为可能.
- 它支持对火车延误传播和分布的分析.
- 为时间表优化和系统弹性评估提供基础.
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