基于统计模型校核的列车控制系统安全性定量分析

Q2 Engineering Archives of Transport Pub Date : 2022-03-31 DOI:10.5604/01.3001.0015.8147
Junting Lin, Xiao Min
{"title":"基于统计模型校核的列车控制系统安全性定量分析","authors":"Junting Lin, Xiao Min","doi":"10.5604/01.3001.0015.8147","DOIUrl":null,"url":null,"abstract":"With the rapid development of communication technology, the Train-centric Communication-based Train Control (TcCBTC) system adopting the train-train communication mode to reduce the transmission link of control information, will become the direction of urban rail transit field development. At present, TcCBTC system is in the stage of key technology research and prototype development. Uncertain behavior in the process of system operation may lead to operation accidents. Therefore, before the system is put into use, it must undergo strict testing and security verification to ensure the safe and efficient operation of the system. In the paper, the formal modeling and quantitative analysis of train tracking operation under moving block are carried out. Firstly, the structure of TcCBTC system and the train tracking interval control strategy under moving block conditions are analyzed. The subsystem involved in train tracking and the uncertain factors in system operation are determined. Then, based on the Stochastic Hybrid Automata (SHA), a network of SHA model of train dynamics model, communication components and on-board controller in the process of train tracking is established, which can formally describe the uncertain environment in the process of system operation. UPPAAL-SMC is used to simulate the change curve of train position and speed during tracking, it is verified that the model meets the safety requirements in static environment. Finally, taking Statistical Model Checking (SMC) as the basis of safety analysis, the probability of train collision in uncertain environment is calculated. The results show that after accurately modeling the train tracking operation control mechanism through network of SHA, the SMC method can accurately calculate the probability of train rear end collision, which proves that the method has strong feasibility and effectiveness. Formal modeling and analysis of safety-critical system is very important, which enables designers to grasp the hidden dangers of the system in the design stage and safety evaluation stage of train control system, and further provides theoretical reference for the subsequent TcCBTC system design and development, practical application and related specification improvement.\n\n","PeriodicalId":53541,"journal":{"name":"Archives of Transport","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Quantitative safety analysis of train control system based on statatistical model checking\",\"authors\":\"Junting Lin, Xiao Min\",\"doi\":\"10.5604/01.3001.0015.8147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of communication technology, the Train-centric Communication-based Train Control (TcCBTC) system adopting the train-train communication mode to reduce the transmission link of control information, will become the direction of urban rail transit field development. At present, TcCBTC system is in the stage of key technology research and prototype development. Uncertain behavior in the process of system operation may lead to operation accidents. Therefore, before the system is put into use, it must undergo strict testing and security verification to ensure the safe and efficient operation of the system. In the paper, the formal modeling and quantitative analysis of train tracking operation under moving block are carried out. Firstly, the structure of TcCBTC system and the train tracking interval control strategy under moving block conditions are analyzed. The subsystem involved in train tracking and the uncertain factors in system operation are determined. Then, based on the Stochastic Hybrid Automata (SHA), a network of SHA model of train dynamics model, communication components and on-board controller in the process of train tracking is established, which can formally describe the uncertain environment in the process of system operation. UPPAAL-SMC is used to simulate the change curve of train position and speed during tracking, it is verified that the model meets the safety requirements in static environment. Finally, taking Statistical Model Checking (SMC) as the basis of safety analysis, the probability of train collision in uncertain environment is calculated. The results show that after accurately modeling the train tracking operation control mechanism through network of SHA, the SMC method can accurately calculate the probability of train rear end collision, which proves that the method has strong feasibility and effectiveness. Formal modeling and analysis of safety-critical system is very important, which enables designers to grasp the hidden dangers of the system in the design stage and safety evaluation stage of train control system, and further provides theoretical reference for the subsequent TcCBTC system design and development, practical application and related specification improvement.\\n\\n\",\"PeriodicalId\":53541,\"journal\":{\"name\":\"Archives of Transport\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Transport\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0015.8147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0015.8147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 2

摘要

随着通信技术的快速发展,以列车为中心的基于通信的列车控制(TcCBTC)系统采用列车-列车通信模式,减少控制信息的传输链路,将成为城市轨道交通领域发展的方向。目前,TcCBTC系统正处于关键技术研究和原型开发阶段。系统运行过程中的不确定性行为可能导致运行事故。因此,在系统投入使用之前,必须经过严格的测试和安全验证,以确保系统的安全高效运行。本文对移动闭塞条件下列车追踪运行进行了形式化建模和定量分析。首先,分析了TcCBTC系统的结构和移动闭塞条件下的列车跟踪间隔控制策略。确定了列车跟踪所涉及的子系统以及系统运行中的不确定因素。然后,基于随机混合自动机(SHA),建立了列车跟踪过程中列车动力学模型、通信部件和车载控制器的SHA模型网络,可以形式化地描述系统运行过程中的不确定环境。利用UPPAAL-SMC对跟踪过程中列车位置和速度的变化曲线进行了仿真,验证了该模型满足静态环境下的安全要求。最后,以统计模型检验(SMC)作为安全分析的基础,计算了不确定环境下列车碰撞的概率。结果表明,通过SHA网络对列车跟踪运行控制机制进行精确建模后,SMC方法能够准确计算列车追尾概率,证明了该方法具有较强的可行性和有效性。安全关键系统的形式化建模和分析非常重要,它使设计人员能够在列车控制系统的设计阶段和安全评估阶段掌握系统的隐患,进一步为后续TcCBTC系统的设计开发、实际应用和相关规范的改进提供理论参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Quantitative safety analysis of train control system based on statatistical model checking
With the rapid development of communication technology, the Train-centric Communication-based Train Control (TcCBTC) system adopting the train-train communication mode to reduce the transmission link of control information, will become the direction of urban rail transit field development. At present, TcCBTC system is in the stage of key technology research and prototype development. Uncertain behavior in the process of system operation may lead to operation accidents. Therefore, before the system is put into use, it must undergo strict testing and security verification to ensure the safe and efficient operation of the system. In the paper, the formal modeling and quantitative analysis of train tracking operation under moving block are carried out. Firstly, the structure of TcCBTC system and the train tracking interval control strategy under moving block conditions are analyzed. The subsystem involved in train tracking and the uncertain factors in system operation are determined. Then, based on the Stochastic Hybrid Automata (SHA), a network of SHA model of train dynamics model, communication components and on-board controller in the process of train tracking is established, which can formally describe the uncertain environment in the process of system operation. UPPAAL-SMC is used to simulate the change curve of train position and speed during tracking, it is verified that the model meets the safety requirements in static environment. Finally, taking Statistical Model Checking (SMC) as the basis of safety analysis, the probability of train collision in uncertain environment is calculated. The results show that after accurately modeling the train tracking operation control mechanism through network of SHA, the SMC method can accurately calculate the probability of train rear end collision, which proves that the method has strong feasibility and effectiveness. Formal modeling and analysis of safety-critical system is very important, which enables designers to grasp the hidden dangers of the system in the design stage and safety evaluation stage of train control system, and further provides theoretical reference for the subsequent TcCBTC system design and development, practical application and related specification improvement.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Archives of Transport
Archives of Transport Engineering-Automotive Engineering
CiteScore
2.50
自引率
0.00%
发文量
26
审稿时长
24 weeks
期刊最新文献
Proactive safety assessment of urban through-roads based on GPS data The Multidimensional Threats of Unmanned Aerial Systems: Exploring Biomechanical, Technical, Operational, and Legal Solutions for Ensuring Safety and Security Predicting severe wildlife vehicle crashes (WVCs) on New Hampshire roads using a hybrid generalized additive model Research on port AGV trajectory tracking control based on improved fuzzy sliding mode control Suitable law-based location selection of high-power electric vehicles charging stations on the TEN-T core network for sustainability: a case of Poland
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1