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ISO/TR 25100:2012, developed by ISO/TC 204 (Intelligent transport systems), provides user guidance for the harmonisation of data concepts where there are similarities in definitions, semantics, and structure across different ITS systems and standards. As intelligent transport systems have proliferated — encompassing traffic management, traveller information, electronic payment, freight logistics, public transport, and emergency response — the proliferation of independently defined data concepts has created significant interoperability barriers.
The fundamental problem is that different systems often represent the same real-world concept (e.g., “departure time”, “vehicle location”, “speed limit”) in different ways. These differences may be semantic (same term, different meaning), structural (same information, different data model), or syntactic (same data, different format). Without harmonisation, each pair of communicating systems requires custom interface development — an approach that scales poorly as the number of systems grows.
ISO/TR 25100 defines a structured harmonisation process and evaluates four distinct approaches that have been applied in ITS and related domains.
| Approach | Origin | Core Method | Strengths | Limitations |
|---|---|---|---|---|
| ISO 14817 Harmonisation | ITS data registry | Centralized data concept registration; change control committee | Authoritative; well-defined process | Requires central governance body |
| ISO/IEC 20943 Approach | Metadata registries | Metadata-based concept mapping and equivalence | Rigorous semantic analysis | Complex; requires metadata expertise |
| UN/CEFACT TBG17 Core Components | Trade and business | Core component technical specification; business information entities | Cross-domain applicability | Heavyweight process |
| UK Highways Agency Core Components | ITS metadata registry | Core component analysis of existing data concepts | Practical; based on real data | ITS-specific scope |
The document defines an eight-step harmonisation process: (1) identify candidate data concepts for harmonisation, (2) analyse the semantics of each concept, (3) identify similarities and differences, (4) assess the impact of differences on interoperability, (5) develop proposed harmonised definitions, (6) review with stakeholders, (7) publish harmonised concepts, and (8) maintain and update. The process is iterative — new concepts or implementation experience may trigger revision of previously harmonised definitions.
For system architects and data modellers working on ITS projects, ISO/TR 25100 offers several important insights:
The document identifies three levels at which harmonisation can be applied. Semantic harmonisation addresses differences in meaning — the classic example being travel service departure time expressed as local time with daylight savings in one system and UTC in another. Structural harmonisation addresses differences in data models — the same address information expressed as a flat structure in one system and a normalized relational model in another. Syntactic harmonisation addresses differences in format — XML vs. JSON vs. ASN.1 representations of the same data. Each level requires different analytical tools and stakeholder engagement.
ISO 14817 defines a data registry framework for ITS data concepts. A well-maintained registry provides a single point of reference for standardised data concepts, reducing duplication and enabling reuse. The document recommends that projects contribute their data concepts to the registry as part of the development process, building a shared resource over time. The UK Highways Agency case study in Annex A demonstrates how core component analysis of existing data concepts in the registry can reveal harmonisation opportunities.
ISO/TR 25100 honestly addresses the practical challenges. Harmonisation requires investment of time and resources with benefits that are realized over the long term as interfaces become reusable. Projects under budget or schedule pressure may find it difficult to justify harmonisation activities. The document suggests pragmatic strategies: focus harmonisation efforts on high-value, frequently used concepts; adopt existing harmonised definitions where available; and contribute local definitions to the registry even if immediate harmonisation is not possible.
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