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Proposal text  (ChatGPTgenerated)

1. Official OpenLR Documentation (by TomTom)

📄 OpenLR White Paper (Core Specification)

• The foundational document that explains:

  • The encoding/decoding process

  • Location reference types

  • Binary and XML formats

  • Algorithms for location matching

📍 Link: https://www.openlr.org/docs/OpenLR-whitepaper.pdf

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✅ 2. OpenLR Reference Implementation (Java Library)

📦 Official GitHub Repository

• TomTom’s open-source Java implementation of OpenLR

• Includes:

  • Encoding/decoding tools

  • Sample map and test data

  • CLI tools

• Great for understanding the logic and getting started with your own integration

📍 GitHub: https://github.com/TomTom/openlr

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✅ 3. OpenLR Encoder/Decoder Flow Diagrams

• The whitepaper and GitHub repo include helpful flow diagrams and pseudo-code for:

  • Finding candidate locations

  • Generating location references

  • Decoding them onto different maps

This helps if you're implementing OpenLR in a language other than Java (e.g., C++, Python, JavaScript).

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✅ 4. Community/Examples

• While OpenLR isn't widely discussed in public forums, you can find:

  • Example implementations or forks on GitHub (search "OpenLR").

  • Occasional integration notes in projects using OpenStreetMap or routing engines like GraphHopper or OSRM.

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❗Note: No "Plug-and-Play" Web API

• OpenLR is a specification and library, not a hosted API or web service.

• You typically:

  • Integrate the encoder on your side (to generate references).

  • Transmit the encoded data (binary or base64).

  • Use the decoder on the recipient side to map-match to their own map data.

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Bonus: Alternatives and Extensions

If your use case goes beyond what the core OpenLR offers, you might consider:

• OpenLR+ (an extended version used internally by some companies)

• Custom adaptations for area locations, GeoCoordinate encoding, etc.

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