Hybrid Online Model-Based Testing for Communication-Based Train Control Systems

被引：8
|
作者：
Wang, Yuemiao [1 ]
Chen, Lei [2 ]
Kirkwood, Dave [1 ]
Fu, Peng [3 ]
Lv, Jidong [4 ]
Roberts, Clive [5 ,6 ]
机构：
[1] Univ Birmingham, Birmingham Ctr Railway Res & Educ, Birmingham, W Midlands, England
[2] Univ Birmingham, Birmingham Ctr Railway Res & Educ, Railway Traff Management, Birmingham, W Midlands, England
[3] STEDI, Elect Branch, Beijing, Peoples R China
[4] Beijing Jiaotong Univ, Natl Engn Res Ctr Rail Transportat Operat & Contr, Beijing, Peoples R China
[5] Univ Birmingham, Railway Syst, Birmingham, W Midlands, England
[6] Birmingham Ctr Railway Res & Educ, Birmingham, W Midlands, England
来源：
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE | 2018年 / 10卷 / 03期
基金：
中国国家自然科学基金;
关键词：
GENERATION; SOFTWARE;
D O I：
10.1109/MITS.2018.2842230
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Communication-Based Train Control (CBTC) systems have been increasingly implemented on metro systems because of their characteristics, which result in safety and capacity improvements for metro operations. Automatic testing met hods such as Model-Based Testing (MBT) have been applied to solve some particularly simple and ideal case studies. To bring automation to FILL testing, the authors apply MBT to HIL testing and present a novel hybrid online MBT testing platform that combines formal modelling methods wit h simulation. The theoretical methodology of the hybrid MU, the platform architecture, and the testing results produced by the platform are described wit h a caret study of a system under test (SLT) of a real Vehicle On-Board Controller (VOBC).
引用
收藏
页码：35 / 47
页数：13
相关论文
共 50 条
  • [1] Deep Hybrid Learning Based Fault Diagnosis for Data Communication Systems in Communication-Based Train Control Systems
    Lin, Sen
    Zhu, Li
    Zhuang, Qingheng
    [J]. 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 1191 - 1195
  • [2] Detecting Intrusions in Communication-Based Train Control Systems
    Fakhereldine, Amin
    Zulkernine, Mohammad
    Murdock, Dan
    [J]. IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 4193 - 4198
  • [3] A Cognitive Control Approach to Communication-Based Train Control Systems
    Wang, Hongwei
    Yu, Fei Richard
    Zhu, Li
    Tang, Tao
    Ning, Bin
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (04) : 1676 - 1689
  • [4] WHAT IS COMMUNICATION-BASED TRAIN CONTROL?
    Pascoe, Robert D.
    Eichorn, Thomas N.
    [J]. IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2009, 4 (04): : 16 - 21
  • [5] Predictive Function Control for Communication-Based Train Control (CBTC) Systems
    Bu, Bing
    Yang, Jingwei
    Wen, Shuhuan
    Zhu, Li
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2013, 10
  • [6] Enhancing Communication-Based Train Control Systems Through Train-to-Train Communications
    Wang, Xiaoxuan
    Liu, Lingjia
    Tang, Tao
    Sun, Wenzhe
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (04) : 1544 - 1561
  • [7] Measurement-Based Handover Method for Communication-Based Train Control Systems
    Chan, Mei Ya
    Baroudi, Sami
    Siu, Joseph
    Liebeherr, Joerg
    [J]. 2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [8] Methods for Applying Public Communication Lines to Communication-based Train Control Systems
    Kitano, Takayasu
    Gion, Akihiro
    [J]. Quarterly Report of RTRI (Railway Technical Research Institute), 2023, 64 : 278 - 283
  • [9] Methods for Applying Public Communication Network to Communication-Based Train Control Systems
    Kitano, Takayasu
    Gion, Akihiro
    [J]. Japanese Railway Engineering, 1600, 64 (01): : 24 - 26
  • [10] State Estimation for Communication-Based Train Control Systems With CSMA Protocol
    Zou, Lei
    Wen, Tao
    Wang, Zidong
    Chen, Lei
    Roberts, Clive
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (03) : 843 - 854
12345