Abstract
Ensuring the safety of the following operation under moving block signal is very important for safe operation. Now that the Train Control system under Moving Block Signal (TC-MBS) is a distributed, complex, dynamic, and highly interactive system, the proposed method uses the Multi-Agent System (MAS) technique to design, model, and analyse the TC-MBS system. This paper describes implementing formal methods for modelling the TC-MBS system that operates in an uncertain environment and its safety verification based on model checking techniques. First, the multi-mode following operation in an uncertain environment is analysed using the decision table technique. Second, we introduce a creative modelling approach for MAS called UML-MAS to build the semi-formal model of the TC-MBS system. UML-MAS acts as a standard interface for the system designers and infrastructure managers to increase their requirement comprehension, analysis, system design, and scheme planning at the conceptual level. Thirdly, a set of rules is suggested to convert UML-MAS model into Vector-based Interpreted Systems Programming Language (VISPL) model, which serves as the input for the model checker MCMAS- T. In order to demonstrate the practicality and effectiveness of the suggested approach, some case studies on modelling the TC-MBS systems while considering various scenarios in an uncertain environment and their verification employing MCMAS- Tare presented.
Original language | English |
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Title of host publication | ISKE 2023 - 18th International Conference on Intelligent Systems and Knowledge Engineering |
Publisher | IEEE |
Pages | 450-457 |
Number of pages | 8 |
ISBN (Electronic) | 9798350318401 |
ISBN (Print) | 979-8-3503-1841-8 |
DOIs | |
Publication status | Published (in print/issue) - 8 Apr 2024 |
Event | 18th International Conference on Intelligent Systems and Knowledge Engineering - Fuzhou, China Duration: 17 Nov 2023 → 19 Nov 2023 Conference number: 18 http://www.iske2023.com |
Publication series
Name | ISKE 2023 - 18th International Conference on Intelligent Systems and Knowledge Engineering |
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Conference
Conference | 18th International Conference on Intelligent Systems and Knowledge Engineering |
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Abbreviated title | ISKE 2023 |
Country/Territory | China |
City | Fuzhou |
Period | 17/11/23 → 19/11/23 |
Internet address |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Knowledge engineering
- Interactive systems
- Unified modeling language
- Model checking
- Control systems
- Safety
- Planning
- train control system
- uncertain environment
- formal models
- model checking
- multi-agent systems
- multi-agent system