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You can find detailed information about OpenLR from several reputable sources:

1. Wikipedia

The OpenLR Wikipedia page provides a comprehensive overview of the standard, its development, and its applications [1].

2. Official OpenLR Website

The OpenLR official website offers extensive information about the method, including documentation, implementation guides, and contact details for further inquiries [2].

3. INRIX Documentation

INRIX provides documentation on Dynamic Location Referencing, which includes details about OpenLR and its implementation tools [3].

These resources should give you a solid foundation to understand and implement OpenLR. 

References
[1] OpenLR - Wikipedia
[2] OpenLR
[3] Dynamic Location Referencing - INRIX documentation

🔎 What is OpenLR (in simple terms)?

OpenLR is a method to describe a road location (like a route or a point) in a compact, map-agnostic format, so it can be decoded across different map systems.

It's useful for:

• Traffic alerts

• Speed limit data

• Road works

• Any road-based data shared between different systems (e.g., TomTom → Google Maps)

🧱 Basic Idea

Instead of giving exact GPS points or road names (which may differ across maps), OpenLR uses:

• A few location reference points (LRPs) (with coordinates, road type, direction)

• Some extra info like length, bearing, and form of road

That’s enough to figure out the road path on any map that has similar roads.

📚 Where to Read More

✅ Official Specs & Docs

• OpenLR Specification PDF
  👉 https://www.openlr.org/technical/openlr-whitepaper.pdf
  (Very detailed but readable if you have some technical background)

• GitHub Repository (TomTom Reference Implementation)
  👉 https://github.com/TomTom-Tools/OpenLR
  (Has sample encoder/decoder code and examples)

🛠 Tools to Try

• OpenLR Test Encoder/Decoder Tool (Java) from GitHub
  → You can run this locally to test OpenLR references.

• JOSM (OSM Editor) + GPS traces
  → You can visualize LRPs on a map for checking decoder results.

👶 Easy to Start

If you're new:

1. Read page 3–5 of the OpenLR whitepaper – it gives a good summary.

2. Try decoding an example reference using the GitHub tools.

3. Visualize the results on OpenStreetMap to see if it matches.