Looking for Compatible Routes in the Railway Interlocking System of an Overtaking Station Using a Computer Algebra System

Roanes–Lozano, Eugenio

doi:10.1007/978-3-030-60026-6_31

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…To implement this route determination process in MATHEMATICA, general graph searching algorithms, akin to those discussed in references [13][14][15][16][17], were employed. These algorithms are integral to navigating and analyzing the complex graph representations of station layouts.…”

Section: Determination Of the Routes From The Graph Topologymentioning

confidence: 99%

Automated Development of Railway Signalling Control Tables: A Case Study from Serbia

Ristic

2023

MITS

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The automation of railway signalling control table preparation, a task historically marked by labor-intensity and susceptibility to error, is critically examined in this study. Traditional manual methods of generating these tables not only demand extensive effort but also bear the risk of errors, potentially leading to severe consequences in subsequent project phases if overlooked. This research, therefore, underscores the imperative for automation in this domain. An extensive review of existing methodologies in the field forms the foundation of this investigation, culminating in the enhancement of a select approach with advanced automation capabilities. The outcome is a standardized procedure, adaptable with minimal modifications to the unique national signalling norms of various countries. This procedure promises to streamline project execution in railway signalling, reducing both time and error margins. Such a standardized, automated approach is particularly pertinent to the Republic of Serbia, where this study is situated, but its implications extend globally. Key technologies employed include AutoCAD and Mathematica, which facilitate the requirements-driven automation process. This research not only contributes to the academic discourse on railway signalling automation but also offers a practical blueprint for its implementation across diverse national contexts.

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Section: Determination Of the Routes From The Graph Topologymentioning

confidence: 99%