Formal Modelling of the Multiple Trains Following Operation in Uncertain Environments

Xia Wang, Yang Xu, Jun Liu, Guanfeng Wu, Shuwei Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationISKE 2023 - 18th International Conference on Intelligent Systems and Knowledge Engineering
PublisherIEEE
Pages450-457
Number of pages8
ISBN (Electronic)9798350318401
ISBN (Print)979-8-3503-1841-8
DOIs
Publication statusPublished (in print/issue) - 8 Apr 2024
Event18th International Conference on Intelligent Systems and Knowledge Engineering - Fuzhou, China
Duration: 17 Nov 202319 Nov 2023
Conference number: 18
http://www.iske2023.com

Publication series

NameISKE 2023 - 18th International Conference on Intelligent Systems and Knowledge Engineering

Conference

Conference18th International Conference on Intelligent Systems and Knowledge Engineering
Abbreviated titleISKE 2023
Country/TerritoryChina
CityFuzhou
Period17/11/2319/11/23
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

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