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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 access to a suitable routable road network at encoding time. OpenLR requires source and destination target maps to meet "navigable map" standards.
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Workflow Step | TMC (Traffic Message Channel) | OpenLR (Dynamic Location Referencing) | Key Differences / Notes |
|---|---|---|---|
1. Location Model | Pre-coded locations stored in a Location Table with static IDs | Dynamic encoding based on geometry, topology, and attributes | OpenLR does not rely on static tables; supports unlimited locations. |
2. Map Dependency | Relatively dependent on the specific map version/revision used to build and link the TMC table codes to the road network map elements | Map‑agnostic and designed to work across multiple maps and versions | As road networks evolve, older TMC location tables may become outdated. |
3. Location Identification | Lookup of a pre-defined TMC Location Code based on table or attributed map elements. | On‑the‑fly encoding of point/line based on actual map geometry | TMC is instant lookup; OpenLR requires computation. |
4. Encoding Process | Encoding = selecting the right TMC Location Codes from the table | Encoding = generating a reference path via attributes + geometry | OpenLR encoding is computationally heavier but flexible. |
5. Message Construction | Very compact messages (a few bytes) | Larger messages (~20–30 bytes for a line location) | Size is rarely an issue today, but OpenLR uses more bandwidth. |
6. Transmission | Typically used in broadcast (RDS, DAB), and low‑bandwidth IP environments | Typically used in wider bandwidth IP-based environments. | OpenLR is suitable for richer digital ecosystems. |
7. Decoding Method | Match Location Codes to same TMC table on receiver side, and look up associated map elements in map. | Decoder reconstructs location using map matching + shortest-path algorithms | OpenLR decoding is more CPU-intensive compared to TMC decoding. |
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| Requirement /consideration | TMC | OpenLR | Notes |
|---|---|---|---|
| Cross-map compatibility | Limited | Excellent | TMC location referencing requires pre‑use agreement between parties and explicit processing to insert location codes into digital maps. |
| Coverage | Fixed, limited | Unlimited | OpenLR does not rely on predefined location tables; any location that exists in a digital map can be encoded and transmitted. TMC location tables are limited in size (typically around 60,000 locations per table). In Europe, countries typically maintain a single national table, while larger markets such as the USA and China deploy multiple tables (often on the order of 30). |
| Real-time dynamic updates | Moderate | Excellent | With TMC, locations must be pre‑identified, agreed, and entered into both location tables and digital maps before they can be referenced, limiting responsiveness. |
| Decoder workload | Low | Higher | TMC decoding is computationally efficient, as it relies primarily on table look‑ups. |
| Interoperability | Table-dependent | Map-agnostic | TMC interoperability depends on consistent implementation of the same location tables across all parties, which complicates cross‑vendor, or multi‑provider deployments. OpenLR enables interoperability without shared tables, facilitating data exchange across different maps, map suppliers, service providers, and system architectures. However, interoperability still depends on consistent encoder–decoder behavior and alignment on OpenLR formats. |
| Legacy embedded systems | Strong | Requires migration | TMC is in very widespread use in the intelligent transportation ecosystem, with long-life expectations for e.g. in-vehicle traffic information and navigation systems. |
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- OpenLR supports various encoding formats: see [TISA-LR-OpenLR-FAQ2] - Different versions/types of OpenLR: What are they each good/bad at? What should be used for a given situation?..
- Provide dual TMC/OpenLR output during transition to ensure backward compatibility.
In TPEG feeds, using the TPEG2-LRC (Location Referencing Container) allows simultaneous transmission of both TMC and OpenLR OpenLR location references within a single TPEG message. - Pre-deployment testing must account for all major map vendors used by end users.
- Measure decoder performance under realistic, high‑volume scenarios.
- Establish automated QA and monitoring for geometric mismatches.
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