aStar - Family of functions¶
The A* (pronounced “A Star”) algorithm is based on Dijkstra’s algorithm with a heuristic that allow it to solve most shortest path problems by evaluation only a sub-set of the overall graph.
pgr_aStar - A* algorithm for the shortest path.
pgr_aStarCost - Get the aggregate cost of the shortest paths.
pgr_aStarCostMatrix - Get the cost matrix of the shortest paths.
General Information¶
The main Characteristics are:
Default kind of graph is directed when
directed
flag is missing.directed
flag is set to true
Unless specified otherwise, ordering is:
first by
start_vid
(if exists)then by
end_vid
Values are returned when there is a path
Let \(v\) and \(u\) be nodes on the graph:
If there is no path from \(v\) to \(u\):
no corresponding row is returned
agg_cost
from \(v\) to \(u\) is \(\infty\)
There is no path when \(v = u\) therefore
no corresponding row is returned
agg_cost
from v to u is \(0\)
Edges with negative costs are not included in the graph.
When (x,y) coordinates for the same vertex identifier differ:
A random selection of the vertex’s (x,y) coordinates is used.
Running time: \(O((E + V) * \log V)\)
Advanced documentation¶
The A* (pronounced “A Star”) algorithm is based on Dijkstra’s algorithm with a heuristic, that is an estimation of the remaining cost from the vertex to the goal, that allows to solve most shortest path problems by evaluation only a sub-set of the overall graph. Running time: \(O((E + V) * \log V)\)
Heuristic¶
Currently the heuristic functions available are:
0: \(h(v) = 0\) (Use this value to compare with pgr_dijkstra)
1: \(h(v) = abs(max(\Delta x, \Delta y))\)
2: \(h(v) = abs(min(\Delta x, \Delta y))\)
3: \(h(v) = \Delta x * \Delta x + \Delta y * \Delta y\)
4: \(h(v) = sqrt(\Delta x * \Delta x + \Delta y * \Delta y)\)
5: \(h(v) = abs(\Delta x) + abs(\Delta y)\)
where \(\Delta x = x_1 - x_0\) and \(\Delta y = y_1 - y_0\)
Factor¶
Analysis 1
Working with cost/reverse_cost as length in degrees, x/y in lat/lon: Factor = 1 (no need to change units)
Analysis 2
Working with cost/reverse_cost as length in meters, x/y in lat/lon: Factor = would depend on the location of the points:
Latitude |
Conversion |
Factor |
---|---|---|
45 |
1 longitude degree is 78846.81 m |
78846 |
0 |
1 longitude degree is 111319.46 m |
111319 |
Analysis 3
Working with cost/reverse_cost as time in seconds, x/y in lat/lon: Factor: would depend on the location of the points and on the average speed say 25m/s is the speed.
Latitude |
Conversion |
Factor |
---|---|---|
45 |
1 longitude degree is (78846.81m)/(25m/s) |
3153 s |
0 |
1 longitude degree is (111319.46 m)/(25m/s) |
4452 s |
See Also¶
Indices and tables