A Microservices-Based Approach to Designing an Intelligent Railway Control System Architecture

Atanasov, Ivaylo; Vatakov, Vasil; Pencheva, Evelina

doi:10.3390/sym15081566

Cited by 5 publications

(2 citation statements)

References 46 publications

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“…Recently, more and more attention has been paid to risk and safety assessment [14][15][16]. In rail transport, there are many documents that talk about the need to analyze and monitor risk; documents explaining the legal requirements, in particular, in terms of Regulation 402/2013 on the Common Risk Assessment Methodology [17][18][19]; and articles demonstrating the application of the FMEA method [20][21][22] or bowtie method [23] and showing the allocation of safety integrity levels [24,25].…”

Section: Requirements Related To Risk Analysis In Investment Processesmentioning

confidence: 99%

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Ilczuk,

Kycko

2023

Applied Sciences

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Risk assessment in the design of control command and signaling devices (CCS) is one of the elements required by law. These analyses should be carried out at many stages of investment with the participation of various teams. This article presents a risk analysis method based on fuzzy sets, which can support and increase the safety of investment processes involving the railroad traffic control industry. The article analyzes hazards identified in CCS design. These risks were identified using a survey method based on a set of questions prepared by the authors and by conducting interviews among experts from design offices. As part of the survey, responses were obtained from 28 respondents who are specialists in the railway traffic control industry. Workshop meetings were held in six different design offices and at manufacturing plants of motion control systems. The identified risks were analyzed using the FMEA (failure mode and effect analysis) method and the fuzzy set method, as well as various methods of fuzzification and defuzzification. The results of all of the methods were compared with each other. The best solution from the analyzed ones was proposed.

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Section: Requirements Related To Risk Analysis In Investment Processesmentioning

confidence: 99%

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Ilczuk,

Kycko

2023

Applied Sciences

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“…In the authors' previous research, a cloud-based railway control system architecture, which enables the use of AI and function virtualisation, was proposed [24,25]. The main advantages of this proposed architecture are its modular structure and the decoupling of time-sensitive control functions from time-tolerant control functions.…”

Section: Introductionmentioning

confidence: 99%

Railway Cloud: Management and Orchestration Functionality Designed as Microservices

Atanasov,

Pencheva,

Trifonov

et al. 2024

Applied Sciences

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The cloudification and virtualisation of railway functions have the potential to improve railway operation efficiency, reliability, safety, and security, as well as to enhance passenger experience by offering innovative services. This paper considers issues related to the management and orchestration of railway clouds that host cloudified railway functions. A microservices-based approach to the design of railway cloud management and orchestration functionality is proposed. The basic railway cloud concepts were defined, and functionality related to the basic orchestration of the railway cloud and deployments is analysed in order to derive the requirements of platform resources and workload management. This functionality is further designed in the form of microservices, meaning that they could possibly be used in orchestration applications to enable improvements in scalability, fault isolation, and data security. The design of microservices follows the principles of the Representational State of Transfer (REST) application programming interface (API) as a set of interlinked resources. Resources related to railway cloud orchestration are identified with their associated data, relationships to other resources, and applicable methods. The resources’ methods are used in railway applications to implement the required orchestration functionality and to maintain the state of railway cloud orchestration processes. To verify the synthesised microservices, the common orchestration application logic and microservices’ logic were modelled, and it was proved that the orchestration processes, which run concurrently, expose equivalent behaviour. The proposed approach was validated using a simulation, aiming to evaluate injected latency as a key performance indicator for the reliability and safety of railway operations. Additionally, some safety and security issues related to railway cloud management and orchestration are considered.

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Microservices for Cloudification and Orchestration of Railway Operations

Atanasov,

Pencheva,

Trifonov

2024

Communications in Computer and Information Science

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A Microservices-Based Approach to Designing an Intelligent Railway Control System Architecture

Cited by 5 publications

References 46 publications

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Railway Cloud: Management and Orchestration Functionality Designed as Microservices

Microservices for Cloudification and Orchestration of Railway Operations

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