This library provides Contraction Hierarchies preprocessing graph technique for Dijkstra's algorithm. Classic implementation of Dijkstra's algorithm, maneuver restrictions extension and isochrones estimation are included also.

• About
• Installation
  • Go get
  • Go mod
• Usage
• Benchmark
• Support
• ToDo
• Thanks
• Theory
• Dependencies
• License

This package provides implemented next techniques and algorithms:

• Dijkstra's algorithm
• Contraction hierarchies
• Bidirectional extension of Dijkstra's algorithm with contracted nodes

go get github.com/LdDl/ch

In your project folder execute next command (assuming you have GO111MODULE=on):

go mod init mod

Then import library into your code:

package main

import "github.com/LdDl/ch"

func main() {
	x := ch.Graph{}
	_ = x
}

and build

go build

You will see next output:

go: finding github.com/LdDl/ch v1.4.6
go: downloading github.com/LdDl/ch v1.4.6

And then you are good to go

• Shortest path

  Please see this test file

  I hope it's pretty clear, but here is little explanation:

  g := Graph{} // Prepare variable for storing graph
  graphFromCSV(&g, "data/pgrouting_osm.csv") // Import CSV-file file into programm
  g.PrepareContractionHierarchies() // Compute contraction hierarchies
  u := 144031 // Define source vertex
  v := 452090 // Define target vertex
  ans, path := g.ShortestPath(u, v) // Get shortest path and it's cost between source and target vertex

• Isochrones

  Please see this test file

  g := Graph{} // Prepare variable for storing graph
  // ...
  // Fill graph with data (vertices and edges)
  // ...
  isochrones, err := graph.Isochrones(sourceVertex, maxCost) // Evaluate isochrones via bread-first search
  if err != nil {
  	t.Error(err)
  	return
  }

You can check benchmarks here

If you have troubles or questions please open an issue.

Please see ROADMAP.md

Dijkstra's algorithm

Bidirectional search

Bidirectional Dijkstra's algorithm's stop condition

Contraction hierarchies

Video Lectures

Thanks to this visual explanation Thanks to this Java implementation of mentioned algorithms

Thanks to paulmach for his OSM-parser written in Go.

Paulmach's license is here (it's MIT)

You can check it here