Verification of railway network models with EVEREST

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

Martins, J (Author) Other; Fonseca, JM (Author) Other; Costa, R (Author) Other; Campos, JC (Author) Other; Cunha, A (Author) Other; Macedo, N (Author) FEUP; Oliveira, JN (Author) Other

Conference proceedings International

Title: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022, Montreal, Quebec, Canada, October 23-28, 2022

Pages: 345-355

25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022

23 October 2022 through 28 October 2022

Indexing

Scopus

Other information

Authenticus ID: P-00X-BH8

DOI: 10.1145/3550355.3552439

Abstract (EN): Models-at different levels of abstraction and pertaining to different engineering views-are central in the design of railway networks, in particular signalling systems. The design of such systems must follow numerous strict rules, which may vary from project to project and require information from different views. This renders manual verification of railway networks costly and error-prone. This paper presents EVEREST, a tool for automating the verification of railway network models that preserves the loosely coupled nature of the design process. To achieve this goal, EVEREST first combines two different views of a railway network model-the topology provided in signalling diagrams containing the functional infrastructure, and the precise coordinates of the elements provided in technical drawings (CAD)-in a unified model stored in the railML standard format. This railML model is then verified against a set of user-defined infrastructure rules, written in a custom modal logic that simplifies the specification of spatial constraints in the network. The violated rules can be visualized both in the signalling diagrams and technical drawings, where the element(s) responsible for the violation are highlighted. EVEREST is integrated in a long-term effort of EFACEC to implement industry-strong tools to automate and formally verify the design of railway solutions. © 2022 ACM.

Language: English

Type (Professor's evaluation): Scientific