Satisfiability Verification of Engineering Data Safety Rules of Balise based on ROBDD

被引:0
|
作者
Wang, Tongdian [1 ]
Zhao, Huibing [1 ]
Zhu, Linfu [1 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
关键词
engineering data; data safety; implicit relation; ROBDD; satisfiability verification;
D O I
暂无
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Engineering data safety pervades the balise telegram compilation, which affects the railway traffic safety. The existing method to ensure data safety is to verify that whether the data conform to the specific verification rules generated based on the balise application principles and engineering data compilation specifications. However, these rules are described by natural language, which are characterized by ambiguity and scarcity. The situation often arises where insufficient verifications of engineering data may lead to data safety problems in most cases. To address this problem above, implicit logic rules are explored ground on the constraints between every pair of data, and modelled as a Boolean function firstly. Then, the Reduced Ordered Binary Decision Diagram (ROBDD) construction and depth-first searching algorithm are performed to verify the satisfiability of the rules. Compared with the original ones, the extracted authenticated logic rules have promising results in the accuracy of data checking, and can further improve the safety of engineering data.
引用
收藏
页码:2386 / 2391
页数:6
相关论文
共 50 条
  • [41] West Nile virus and the safety of plasma derivatives: verification of high safety margins, and the validity of predictions based on model virus data
    Kreil, TR
    Berting, A
    Kistner, O
    Kindermann, J
    TRANSFUSION, 2003, 43 (08) : 1023 - 1028
  • [42] Improve Safety and Security of Intelligent Railway Transportation System Based on Balise Using Machine Learning Algorithm and Fuzzy System
    Falahati, Abolfazl
    Shafiee, Ebrahim
    INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH, 2022, 20 (01) : 117 - 131
  • [43] Verification of spatiotemporal continuous complex event processing rules by a synthesized data set
    Lee, Sanghyun
    Hong, Bonghee
    Kim, Woochan
    2021 IEEE REGION 10 CONFERENCE (TENCON 2021), 2021, : 614 - 619
  • [44] Rules engine based data cleansing
    School of Software, Shanghai Jiaotong University, Shanghai 200030, China
    Jisuanji Gongcheng, 2006, 23 (52-54):
  • [45] Rules and Ontology Based Data Access
    Xiao, Guohui
    Rezk, Martin
    Rodriguez-Muro, Mariano
    Calvanese, Diego
    WEB REASONING AND RULE SYSTEMS, RR 2014, 2014, 8741 : 157 - +
  • [46] On data summaries based on gradual rules
    Bosc, Patrick
    Pivert, Olivier
    Ughetto, Laurent
    COMPUTATIONAL INTELLIGENCE: THEORY AND APPLICATIONS, 1999, 1625 : 512 - 521
  • [47] Verification and validation of safety applications based on PLCopen safety function blocks
    Soliman, Doaa
    Frey, Georg
    CONTROL ENGINEERING PRACTICE, 2011, 19 (09) : 929 - 946
  • [48] Fire safety design based on calculations: Uncertainty analysis and safety verification
    Magnusson, SE
    Frantzich, H
    Harada, K
    FIRE SAFETY JOURNAL, 1996, 27 (04) : 305 - 334
  • [49] Safety Verification of a Data-driven Adaptive Cruise Controller
    Lin, Qin
    Verwer, Sicco
    Dolan, John
    2020 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2020, : 2146 - 2151
  • [50] Data safety verification of computer interlocking in urban railway signaling
    Zhou G.
    Zhao H.
    Zhao, Huibing (hbzhao@bjtu.edu.cn), 2016, Science Press (38): : 63 - 72