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prEN 15430-3 Viešoji apklausa

Komentavimo iki data 2026-07-05

Kelių priežiūros žiemą ir kelio zonų priežiūros įranga. Duomenų surinkimas ir perdavimas. 3 dalis. Duomenų perdavimo tarp taikomųjų programų serverių protokolas

The function of EN 15430 is to combine any vehicle equipment with different board computers to any client application server. This document specifies the interface and protocol needed between the information supplier server and the client application server (flow 3 as illustrated in Figure 1) to allow distribution of data without any restrictions to the technology used to gather the data like manufacturer specific protocols, WLANS systems, memory cards, etc.

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EN 50716:2023/prA1:2026 Viešoji apklausa

Komentavimo iki data 2026-06-05

Geležinkelio taikmenys. Programinės įrangos kūrimo reikalavimai

The amendment will address misunderstandings on provisions for AI/ML by providing additional guidance and clarifications without changing the fundamental technical requirements and recommendations of the standard. The amendment and its limitation to broadly editorial changes is based on following considerations: • Limited Standardization for AI: While AI/ML holds promise for various applications, current standardization efforts specific to AI/ML in safety-critical domains like railway are still in their early stages. This lack of mature and widely accepted standards for verifying and validating AI/ML systems in these contexts makes it challenging to reference or directly incorporate such technologies into the scope of EN 50716 (with less restrictive provisions) at this time. • Promoting Flexibility and Innovation: By clarifying the existing provisions and adding guidance without imposing new requirements, the amendment allows for flexibility and encourages developers to explore the potential of AI/ML (where is safe to do so). The following areas have already been identified by WG28 for the amendment: • Explicitly remind the scope of Table A.3: State that the table's techniques and measures are primarily intended for the design of the software architecture for safety-related functions (e.g. does not strictly apply to support tools). • Provide guidance on AI/ML usage: Explicitly acknowledge the potential of AI/ML in non-safety-critical areas and offer examples of possible applications (complementary to current recommendation for Basic Integrity, “-”, in Table A.3 for 13. Artificial Intelligence and Machine Learning). • Guidance on Support Tools: Ensure a consistent understanding of the AI/ML provisions related to support tools (& programming languages). This represent current view on potential changes - other areas may be identified during the amendment drafting, keeping into account the above mentioned limitations to broadly editorial changes.

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