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openlr_decoder
Advanced tools
A general purpose OpenLR decoding solution for any suitable road network.
OpenLR is a dynamic location reference standard to enable systems to exchange location information in a map-agnostic manner. For further info see OpenLR association. This module provides a simple and performant solution to decode an openLR reference.
This module requires a mongodb database instance or an Azure Cosmos instance with support for mongodb api enabled.
Support for more backends will be added in future releases
Install the module with npm:
npm install openlr_decoder
For commonjs:
const {decodeOpenLR, initStorage} = require("openlr_decoder");
For typescript:
import {decodeOpenLR, initStorage} from "openlr_decoder";
Initialise a storage connection with the chosen storage backend, the database url, and database name.
Decode an OpenLR string providing the string and any options.
async main(){
// Backend storage connection options
const options = {
storageBackend: "mongodb",
url: "127.0.0.1:27017",
dbName: "streetMap"
}
await initStorage(options);
const result = await decodeOpenLr("C/+/+yY40CuxDAA6/WgrHw==", {targetBearing: 25, searchRadius: 100});
}
The module expects data in the below described schemas for the chosen storage medium.
The module expects the mongodb database to have a collection named "nodes" which contains only node documents. Each node should contain two arrays named startLinks and endLinks. The startLinks array contains links which start from this node and the endLinks array contains links which end at this node. A JSON schema file is provided here.
A complete ready to use set of OS open roads data in this format, extracted from a MongoDB collection, is provided for download here [TODO].
A fully worked example of getting an OpenLR service up and running is provided here [TODO].
FAQs
A general purpose road network OpenLR decoding solution
The npm package openlr_decoder receives a total of 1 weekly downloads. As such, openlr_decoder popularity was classified as not popular.
We found that openlr_decoder demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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