| 基于数字孪生的铁路客运站技术作业实时调度方法 |
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| 引用本文： | 何必胜,陈鹏,张宏翔,鲁工圆,张春辉.基于数字孪生的铁路客运站技术作业实时调度方法[J].系统仿真学报,2022,34(10):2130-2141. |
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| 作者姓名： | 何必胜 陈鹏 张宏翔 鲁工圆 张春辉 |
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| 作者单位： | 1.西南交通大学 交通运输与物流学院，四川 成都 6117562.西南交通大学 综合交通运输智能化国家地方联合工程实验室，四川 成都 6117563.西南交通大学 综合运输四川省重点实验室，四川 成都 6117564.中国市政工程华北设计研究总院有限公司，天津 300381 |
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| 基金项目： | 国家重点研发计划(2017YFB1200700);国家自然科学基金(61603317);中国铁路总公司科技研究开发计划(J2018z403) |
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| 摘 要： | 为提高铁路客运站作业调度水平，降低列车延误影响，采用数字孪生技术构建铁路客运站技术作业模型，通过实时数据采集，基于随机森林的作业时间预测，作业模拟以及智能决策，提出基于数字孪生的铁路客运站技术作业实时调度方法。将此调度方法应用于某实际铁路客运站中，实验结果表明：该方法能对实际作业进行高精度预测及模拟；使用三种数字孪生决策规则能有效降低列车作业延误。研究论证了该数字孪生模型能应用于实际车站管理，提高作业实时调度水平。
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| 关 键 词： | 铁路运输 实时调度 数字孪生 技术作业 作业延误 |
| 收稿时间： | 2021-05-31 |
Real-time Scheduling Method for Railway Passenger Station Operations Based on Digital Twin |
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| Bisheng He,Peng Chen,Hongxiang Zhang,Gongyuan Lu,Chunhui Zhang.Real-time Scheduling Method for Railway Passenger Station Operations Based on Digital Twin[J].Journal of System Simulation,2022,34(10):2130-2141. |
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| Authors: | Bisheng He Peng Chen Hongxiang Zhang Gongyuan Lu Chunhui Zhang |
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| Institution: | 1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China2.National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China3.Comprehensive Transportation Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 611756, China4.North China Municipal Engineering Design and Resarch Instutute Co. Ltd. , Tianjin 300381, China |
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| Abstract: | To improve the operation scheduling of railway passenger stations and reduce the train delays, digital twin technology is used to establish a railway passenger station operation model. Through real-time data acquisition, based on the operation time prediction of random forest method, operation simulation and decision-making, a real-time scheduling method of railway passenger station operations based on digital twin is proposed, and applied in a real railway passenger station. The experimental results show that the method can effectively forecast and simulate the actual operation. Three kinds of digital twin scheduling rules have been used, which can reduce the delay time of train operations. It is proved that the digital twin model can improve the real-time scheduling of operations in the daily management of stations. |
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| Keywords: | railway transport real-time scheduling digital twin operations operations delay |
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