Skip to Main content Skip to Navigation

Modélisation et Vérification Formelles de Systèmes de Contrôle de Trains

Abstract : The automation degree of railway control systems is constantly increasing. Railway industry needs the enhanced level of safety and reliability guarantee to replace the drivers by Automatic Train Control (ATC) systems. However, the system complexity is also heavily increased by the integration of automatic functions, which has caused the difficulty to analyze these systems.Different modeling methods can be used to build the system models at the appropriate level of abstraction. Formal modeling methods and formal verification methods can provide crucial support to ensure safety and reliability properties. Petri Nets are a suitable tool for modeling and verifying critical systems such as automatic train control systems. In this thesis, we use more specifically Colored Petri Nets (CPNs) to exploit modularity and hierarchization for the modeling and verification of a large-scale system.
Document type :
Complete list of metadatas

Cited literature [314 references]  Display  Hide  Download
Contributor : Abes Star :  Contact
Submitted on : Friday, March 13, 2020 - 10:54:09 AM
Last modification on : Tuesday, September 29, 2020 - 12:24:07 PM
Long-term archiving on: : Sunday, June 14, 2020 - 1:29:27 PM


Version validated by the jury (STAR)


  • HAL Id : tel-02507447, version 1



Yuchen Xie. Modélisation et Vérification Formelles de Systèmes de Contrôle de Trains. Other [cs.OH]. Ecole Centrale de Lille, 2019. English. ⟨NNT : 2019ECLI0001⟩. ⟨tel-02507447⟩



Record views


Files downloads