July 2026: New Information Technology Standards Shaping Transport, AI, and Data Spaces

New Information Technology Standards Shaping Transport, AI, and Data Spaces – July 2026
July 2026 marks another significant month for Information Technology and Office Equipment professionals, with the publication of five impactful international standards. These newly released documents address safety, data exchange, artificial intelligence, data space maturity, and integrated transport systems. As digital transformation accelerates across transport, smart cities, and AI-driven services, compliance with these standards becomes central to maintaining interoperability, safety, and business value. This update, part 6 of 8 in the July 2026 series, breaks down the essential details and business implications of each new specification.
Overview / Introduction
Information Technology continues to be the strategic backbone powering modern transport systems, smart urban environments, and data-powered services across sectors. With the complexity of digital solutions rapidly increasing, the publication of robust, internationally unified standards ensures that innovation proceeds in a secure, interoperable, and reliable manner.
Whether it’s guaranteeing the safety of communication in railway signalling, enabling the seamless integration of AI in multimedia, or providing the frameworks for traffic management and data sharing across Europe, the July 2026 releases represent a leap forward for the industry. In this article:
- Discover the scope and requirements of each new standard
- Learn who should comply
- See how these specifications affect your operations, compliance planning, and procurement
Detailed Standards Coverage
EN 50159:2026 – Safety-Related Communication in Railway Transmission Systems
Railway applications – Communication, signalling and processing systems – Safety-related communication in transmission systems
Railway operations increasingly depend on digital communication between complex systems, making safety-related data transmission a top priority. EN 50159:2026 provides stringent guidance for safety-related electronic systems utilizing transmission systems originally not designed with safety in mind.
This standard addresses how both safety-related and non-safety-related equipment can securely share transmission networks, classifying these systems as closed (where unauthorized access risk is negligible) or open (where cybersecurity becomes critical). EN 50159:2026 outlines specific requirements to achieve end-to-end safe communication and establishes the necessary interface with applicable cybersecurity standards in high-risk (open) transmission contexts.
Industries involved in railway system development, system integrators, and transport authorities must ensure compliance, especially for new projects and any modifications/extensions to existing systems.
Implementation requires:
- Hazard identification relating to network failures and data errors
- Deployment of defence measures (e.g., cryptographic algorithms, time stamps, message authentication codes)
- Integration with system-wide safety requirements (as per EN 50129)
- Coordination with current cybersecurity standards
As a revision, EN 50159:2026 introduces clarified terminology, coverage of cybersecurity interfaces, and redefines the applicability to address modifications of legacy systems.
Key highlights:
- Applies to digital communication within railway safety systems using untrusted networks
- Defines safety/defence measures (cryptography, error correction, authentication)
- Interfaces with cybersecurity standards for open systems
Access the full standard:View EN 50159:2026 on iTeh Standards
ISO/IEC TR 23888-1:2026 – Artificial Intelligence for Multimedia: Vision and Scenarios
Information technology — Artificial intelligence for multimedia — Part 1: Vision and scenarios
This technical report provides a comprehensive view on the integration of artificial intelligence (AI) and neural networks in multimedia coding and processing. It sets the foundation for future standards, outlining technical challenges, key scenarios, and use case assumptions for deploying AI in multimedia environments.
ISO/IEC TR 23888-1:2026 offers insights into:
- The impact of AI and deep learning in video and audio coding
- Working assumptions for interoperability and reproducibility in AI multimedia systems
- Technical aspects such as model compression, in-loop filtering, postprocessing, and split inference
- Key gaps in current technology that require further standardization
Professionals in media technology, AI development, integrators of multimedia systems, and policy makers will find valuable guidance on strategic planning and the direction of upcoming industry standards. The document covers terminology, possible AI application domains, and stresses the importance of collaborative, reproducible, and interoperable AI integration.
Key highlights:
- Sets vision and technical scenarios for AI-powered multimedia coding
- Defines core terminology for neural networks, machine learning, and inference in multimedia contexts
- Identifies standardization gaps for future committee work
Access the full standard:View ISO/IEC TR 23888-1:2026 on iTeh Standards
CEN/TS 16157-8:2026 – DATEX II Urban Traffic Management Extensions
Intelligent transport systems – DATEX II data exchange specifications for traffic management and information – Part 8: Traffic management publications and extensions dedicated to the urban environment
As urban traffic management becomes increasingly complex, the need for standardized, interoperable data exchange grows. CEN/TS 16157-8:2026 delivers new data model structures for the DATEX II framework, specifically targeting urban environments.
This Technical Specification details:
- Extended data concepts for the exchange of traffic management plans and rerouting information
- Support for urban-specific entity types (such as infrastructure damage, public transport vehicles, and non-vehicular road users)
- Enhanced semantics for traffic rerouting, network management, and real-time plan implementation
The standard is essential for city authorities, ITS vendors, system integrators, and urban planners aiming to deploy advanced traffic management services. By ensuring all actors have a common structure for information exchange, it reduces risk, facilitates open marketplaces, and promotes EU-wide smart mobility objectives.
Major enhancements over previous versions include better alignment with updated DATEX II core models and improved capabilities for publishing and managing predefined traffic management plans.
Key highlights:
- Urban-focused data structures for managing traffic and rerouting
- Strong support for smart city, real-time transport applications
- Seamless integration with other DATEX II domains and EU smart mobility strategies
Access the full standard:View CEN/TS 16157-8:2026 on iTeh Standards
CEN/CLC/TS 18331:2026 – Maturity Assessment of Common European Data Spaces
Maturity assessment of Common European Data Spaces
The ability to assess and benchmark the maturity of data spaces is crucial for organizations navigating the European strategy on data and the Data Act implementation. CEN/CLC/TS 18331:2026 introduces a detailed, multi-dimensional maturity model covering governance, business, legal, interoperability, trust, and value creation dimensions.
This Technical Specification provides:
- A phased maturity model (exploratory to operational and scaling phases)
- Assessment criteria, metrics, and scoring for each dimension
- Templates for self-assessment and guidance for benchmarking
- Recommendations for organizational, technical, and governance improvements
Applicable to any data space initiative or participant (enterprises, public authorities, data sharing consortia), the standard enables transparent self-assessment, valuable insight for policy-makers, and clear pathways for third-party certification programs.
Key highlights:
- Defines assessment indicators and scoring across six core dimensions
- Supports alignment with European legal and policy frameworks
- Enables data spaces to benchmark capabilities, plan improvements, and report maturity
Access the full standard:View CEN/CLC/TS 18331:2026 on iTeh Standards
EN 12896-1:2026 – Public Transport Reference Data Model: Common Concepts
Public transport – Reference data model – Part 1: Common concepts
As public transport systems grow increasingly integrated and digital, EN 12896-1:2026 provides the foundation for unified, reusable data structures. This part forms the bedrock of the Transmodel suite, defining all generic concepts applied across other domains of the model.
The standard covers:
- Core data elements for public transport planning, operations, and information systems
- Generic frameworks for versioning, validity, responsibility, and grouping
- Data model mechanisms for service calendars, location systems, organization roles, equipment, and event handling
Targeted at system architects, software providers, transport operators, and authorities, the specification ensures maximum interoperability and streamlined data exchange across diverse public transport IT systems.
Notable updates include revised and extended data dictionaries, updated modelling conventions, and new guidance on applying reusable components across transport applications.
Key highlights:
- Normative generic data packages for all public transport IT domains
- Structured annexes for terminology, concept definitions, and methodologies
- Essential for building and extending interoperable public transport data solutions
Access the full standard:View EN 12896-1:2026 on iTeh Standards
Industry Impact & Compliance
The newly published standards set the stage for greater interoperability, safety, and efficiency across a range of digital infrastructure sectors:
- Railway and Public Transport: Strengthened requirements for digital communication and standardized data structures support safer, more reliable network operations and better multi-vendor integration.
- Smart Cities and Urban Mobility: Standardized traffic data exchange enables flexible, real-time traffic management and seamless ecosystem collaboration.
- Artificial Intelligence & Multimedia: Strategic groundwork for future AI deployment ensures that multimedia systems are reproducible, scalable, and standards-aligned from the outset.
- Data Spaces and Data Governance: Maturity assessment tools support both policy compliance (Data Act, GDPR) and practical step-by-step capability building.
Compliance and Timelines
- Each standard typically requires announcement at national level within 6 months, publication within 12 months, and withdrawal of conflicting documents within 36 months where applicable.
- Organizations should begin the gap analysis and strategic planning immediately to ensure timely compliance—especially for mission-critical or regulated environments.
Benefits of Adopting These Standards:
- Future-proofing digital infrastructure
- Reduced integration and maintenance costs
- Increased trust and legal certainty with well-defined compliance pathways
- Enhanced value creation from shared data and interoperable systems
Risks of Non-Compliance:
- Interoperability failures in complex system-of-systems environments
- Increased cybersecurity and safety risks in critical transport domains
- Potential regulatory penalties and commercial disadvantage
Technical Insights
Across these standards, several technical themes and best practices emerge:
Integration of Safety and Cybersecurity: Especially in EN 50159:2026, the co-design of safety and cybersecurity defences—such as encryption, access control, time-stamping, and message authentication—is vital. Systems should adopt layered defence strategies, with robust risk assessments and clear interface boundaries.
Data Modelling for Interoperable Infrastructure: Both EN 12896-1:2026 and CEN/TS 16157-8:2026 exemplify the movement toward generic, reusable data models. Organizations are advised to harmonize legacy and new systems with these normative models to ensure longevity and versatility.
Maturity Modeling and Self-Assessment: The structure defined in CEN/CLC/TS 18331:2026 encourages the adoption of dynamic self-assessment as part of continuous improvement processes. Regular reviews using these metrics support governance and strategic planning.
AI and Multimedia Systems: ISO/IEC TR 23888-1:2026 underscores the importance of reproducibility, model versioning, and performance benchmarking. Encourage multi-disciplinary collaboration between IT, media engineering, and AI teams to optimize implementations.
Implementation Best Practices
- Involve cross-functional teams (IT, safety, compliance, operations)
- Map new standards to existing architectures for minimal disruption
- Leverage pilot projects to validate new models or maturity frameworks
- Maintain active monitoring for new standardization guidance and technical corrections
Testing and Certification
- Use standard-aligned test benches and simulation tools
- Support certification programs with documented evidence of compliance and self-assessments
- Participate in professional networks and user communities for shared learning
Conclusion / Next Steps
The July 2026 suite of Information Technology standards covered in this release brings vital tools to organizations seeking leadership in digital infrastructure, urban mobility, and AI-driven services. From ensuring secure railway signalling to orchestrating the next generation of European data spaces and smart city traffic management, these standards pave the way for integrated, resilient, and innovative operations.
Key takeaways:
- Adopt and integrate the new standards proactively to maximize business value
- Use maturity models and technical frameworks for structured, continuous improvement
- Engage with the standards community to stay ahead of regulatory and technology trends
Recommended Actions:
- Review the linked standards on iTeh Standards for full specifications
- Undertake gap assessments and update compliance roadmaps
- Engage stakeholders for early adoption and pilot implementations
Explore all July 2026 standards and future updates—subscribe for notifications on new and revised industry publications at iTeh Standards
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