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TMC relies on static, pre-coded location tables that limit coverage to predetermined road segments and require frequent maintenance. As digital mobility ecosystems evolve and more stakeholders use diverse maps (e.g. from Google, HERE, TomTom, OSMOpen Street Map), a map‑agnostic approach becomes essential. OpenLR supports unlimited coverage, map independence, and dynamic location encoding, enabling consistent interpretation of locations across different maps and versions. Its flexibility is better suited for modern traffic services, dynamic updates, and large-scale multi-map environments.

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OpenLR works fundamentally differently. Instead of static identifiers, it generates dynamic location references derived from the actual geometry, topology, and attributes of the road network. Encoding a location therefore requires access to a routable digital map, as the encoder must understand how road segments connect, how paths are formed, and where decision points such as junctions and merges occur. While OpenLR is map‑agnostic in the sense that it is not tied to a specific vendor or map version, it nevertheless requires the presence of access to a suitable routable road network at encoding time.

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