| 基于多智能体的运营高速铁路救援仿真研究 |
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| 引用本文： | 李斯,庞帅,姚建平,楼梁伟,熊亚军,吴江彪,叶晓宇.基于多智能体的运营高速铁路救援仿真研究[J].铁路计算机应用,2018,27(7):58-63. |
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| 作者姓名： | 李斯 庞帅 姚建平 楼梁伟 熊亚军 吴江彪 叶晓宇 |
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| 作者单位： | 1.中国铁道科学研究院集团有限公司 铁道建筑研究所,北京 100081; |
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| 基金项目： | 中国铁路总公司科技研究开发计划重点课题（2015Z002） |
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| 摘 要： | 为实现规范、科学、准确、迅速的应急救援过程,基于多智能体救援技术对运营高速铁路重大事故灾后救援开展灾难重现式的救援研究。将多智能体救援理论和技术引入运营高速铁路重大事故灾后救援领域,基于多智能体救援仿真平台,构建用于高铁运营过程重大事故救援的灾难空间仿真模型;剖析高铁应急救援过程中同类智能体间和异类智能体间协作救援模式;以假设的高铁车站突发灾难和高铁线路发生的重大事故为例进行灾后救援案例分析,提出具体建议和措施,进一步论证高铁救援仿真的高效性和科学性。研究表明:运营高速铁路多智能体救援仿真可以重现救援进度及预测灾难发展方向,为现实灾难发生后救援任务策略的优化提供参考。运营高速铁路多智能体救援仿真可以实时展现灾难蔓延情况、救援过程等细节,为今后智能高铁救援领域的发展提供了一个方向。
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| 关 键 词： | 高速铁路 灾后救援 多智能体技术 仿真分析 |
| 收稿时间： | 2018-05-10 |
High-speed railway rescue simulation based on multi-agent |
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| Affiliation: | 1.Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited,Beijing 100081, China;2.Beijing Tieke Special Engineering Technological Development Corporation, Beijing 100081, China |
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| Abstract: | For the realization of the standardized, scientific, accurate and rapid emergency rescue process, this paper conducted a research based on multi-agent rescue technology for the major accident rescue after disasters of high-speed railway. The paper introduced the multi-agent theory and technology to the high-speed railway major accident rescue field after disasters, built a disaster space simulation model for high-speed railway operation process major accident rescue, dissected the cooperation rescue model between similar multi-agents and heterogeneous multi-agents in the high-speed railway emergency rescue process, analyzed the accident cases rescue after a high-speed railway station of emergent disaster and a high-speed railway line post-disaster relief, proposed specific suggestions, further demonstrated the efficiency and scientificity of the simulation of high- speed railway rescue. Research results show that the high-speed railway multiple agent rescue simulation can reproduce the progress of the rescue and predict the direction of disaster development, provide reference for the optimization of rescue mission strategy after the actual disaster, display detailly the disaster spread, the rescue process, and so on in real time, provide a direction for the future development of the smart high-speed railway rescue field. |
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