pgr_vidsToDMatrix - Creates a distances matrix from an array of vertex_id.


This function takes an array of vertex_id, the original array of points used to generate the array of vertex_id, an edge table name and a tol. It then computes kdijkstra() distances for each vertex to all the other vertices and creates a symmetric distance matrix suitable for TSP. The pnt array and the tol are used to establish a BBOX for limiting selection of edges. The extents of the points is expanded by tol.

The function returns:

  • record - with two fields as describe here
    • dmatrix:float8[] - the distance matrix suitable to pass to pgrTSP() function.
    • ids:integer[] - an array of ids for the distance matrix.
record pgr_vidsToDMatrix(IN vids integer[], IN pnts geometry[], IN edges text, tol float8 DEFAULT(0.1), OUT dmatrix double precision[], OUT ids integer[])



vids:integer[] - An array of vertex_id.
pnts:geometry[] - An array of point geometries that approximates the extents of the vertex_id.
edges:text - The edge table to be used for the conversion.
tol:float8 - The amount to expand the BBOX extents of pnts when building the graph.


  • we compute a symmetric matrix because TSP requires that so the distances are better the Euclidean but but are not perfect
  • kdijkstra() can fail to find a path between some of the vertex ids. We to not detect this other than the cost might get set to -1.0, so the dmatrix shoule be checked for this as it makes it invalid for TSP


  • New in version 2.1.0


This example shows how this can be used in the context of feeding the results into pgr_tsp() function. We convert a text string of x,y;x,y;... into and array of points, then convert that into an array vertex_id, then create a distance matrix that gets feed into pgr_tsp() that returns the final result.

select * from pgr_tsp(
    (select dmatrix::float8[]
       from pgr_vidstodmatrix(
                    pgr_texttopoints('2,0;2,1;3,1;2,2;4,1;4,2;2,3;3,2', 0),
                pgr_texttopoints('2,0;2,1;3,1;2,2;4,1;4,2;2,3;3,2', 0),
 seq | id
   0 |  1
   1 |  3
   2 |  7
   3 |  5
   4 |  4
   5 |  2
   6 |  6
   7 |  0
(8 rows)

This example uses the Sample Data network.

See Also