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authormatthijs <matthijs@openttd.org>2005-04-11 19:14:48 +0000
committermatthijs <matthijs@openttd.org>2005-04-11 19:14:48 +0000
commit81fd47ac281f8f9284c98003071ed4d666d88eac (patch)
tree2cfb3fe1eaa3454e6c943f30efc3944c2eba1a02
parentec0358f8508be88ffd6757adacf2b22059fa511f (diff)
downloadopenttd-81fd47ac281f8f9284c98003071ed4d666d88eac.tar.xz
(svn r2181) - Add: DistanceTrack() to calculate the distance over optimally laid out tracks.
- Codechange: [NPF] Removed unused heuristic function NPFCalcTileHeuristic(). - Codechange: [NPF] Use DistanceTrack() instead of DistanceManhattan() for ship and train heuristic. - Codechange: Renamed variables x and y to dx and dy in some of the distance calculation functions.
-rw-r--r--map.c38
-rw-r--r--map.h9
-rw-r--r--npf.c41
3 files changed, 43 insertions, 45 deletions
diff --git a/map.c b/map.c
index 14d948cc7..ae8d2e916 100644
--- a/map.c
+++ b/map.c
@@ -138,35 +138,49 @@ const TileIndexDiffC _tileoffs_by_dir[] = {
uint DistanceManhattan(TileIndex t0, TileIndex t1)
{
- return
- abs(TileX(t0) - TileX(t1)) +
- abs(TileY(t0) - TileY(t1));
+ const uint dx = abs(TileX(t0) - TileX(t1));
+ const uint dy = abs(TileY(t0) - TileY(t1));
+ return dx + dy;
}
uint DistanceSquare(TileIndex t0, TileIndex t1)
{
- const int x = TileX(t0) - TileX(t1);
- const int y = TileY(t0) - TileY(t1);
- return x * x + y * y;
+ const int dx = TileX(t0) - TileX(t1);
+ const int dy = TileY(t0) - TileY(t1);
+ return dx * dx + dy * dy;
}
uint DistanceMax(TileIndex t0, TileIndex t1)
{
- const uint x = abs(TileX(t0) - TileX(t1));
- const uint y = abs(TileY(t0) - TileY(t1));
- return x > y ? x : y;
+ const uint dx = abs(TileX(t0) - TileX(t1));
+ const uint dy = abs(TileY(t0) - TileY(t1));
+ return dx > dy ? dx : dy;
}
uint DistanceMaxPlusManhattan(TileIndex t0, TileIndex t1)
{
- const uint x = abs(TileX(t0) - TileX(t1));
- const uint y = abs(TileY(t0) - TileY(t1));
- return x > y ? 2 * x + y : 2 * y + x;
+ const uint dx = abs(TileX(t0) - TileX(t1));
+ const uint dy = abs(TileY(t0) - TileY(t1));
+ return dx > dy ? 2 * dx + dy : 2 * dy + dx;
}
+uint DistanceTrack(TileIndex t0, TileIndex t1)
+{
+ const uint dx = abs(TileX(t0) - TileX(t1));
+ const uint dy = abs(TileY(t0) - TileY(t1));
+
+ const uint straightTracks = 2 * min(dx, dy); /* The number of straight (not full length) tracks */
+ /* OPTIMISATION:
+ * Original: diagTracks = max(dx, dy) - min(dx,dy);
+ * Proof:
+ * (dx-dy) - straightTracks == (min + max) - straightTracks = min + // max - 2 * min = max - min */
+ const uint diagTracks = dx + dy - straightTracks; /* The number of diagonal (full tile length) tracks. */
+
+ return diagTracks + straightTracks * STRAIGHT_TRACK_LENGTH;
+}
uint DistanceFromEdge(TileIndex tile)
{
diff --git a/map.h b/map.h
index 8adc0f075..b00907015 100644
--- a/map.h
+++ b/map.h
@@ -102,10 +102,11 @@ static inline TileIndex AddTileIndexDiffCWrap(TileIndex tile, TileIndexDiffC dif
}
// Functions to calculate distances
-uint DistanceManhattan(TileIndex, TileIndex); // also known as L1-Norm
+uint DistanceManhattan(TileIndex, TileIndex); // also known as L1-Norm. Is the shortest distance one could go over diagonal tracks (or roads)
uint DistanceSquare(TileIndex, TileIndex); // euclidian- or L2-Norm squared
uint DistanceMax(TileIndex, TileIndex); // also known as L-Infinity-Norm
uint DistanceMaxPlusManhattan(TileIndex, TileIndex); // Max + Manhattan
+uint DistanceTrack(TileIndex, TileIndex); // Returns the shortest distance one could go over tracks
uint DistanceFromEdge(TileIndex); // shortest distance from any edge of the map
@@ -117,4 +118,10 @@ static inline TileIndexDiff TileOffsByDir(uint dir)
return ToTileIndexDiff(_tileoffs_by_dir[dir]);
}
+/* Approximation of the length of a straight track, relative to a diagonal
+ * track (ie the size of a tile side). #defined instead of const so it can
+ * stay integer. (no runtime float operations) Is this needed?
+ * This value should be sqrt(2)/2 ~ 0.7071 */
+#define STRAIGHT_TRACK_LENGTH (7071/10000)
+
#endif
diff --git a/npf.c b/npf.c
index 66061d1ae..05bcd175f 100644
--- a/npf.c
+++ b/npf.c
@@ -93,7 +93,7 @@ const byte _reverse_trackdir[14] = {
/* The cost of each trackdir. A diagonal piece is the full NPF_TILE_LENGTH,
* the shorter piece is sqrt(2)/2*NPF_TILE_LENGTH =~ 0.7071
*/
-#define NPF_STRAIGHT_LENGTH (uint)(NPF_TILE_LENGTH * 0.7071)
+#define NPF_STRAIGHT_LENGTH (uint)(NPF_TILE_LENGTH * STRAIGHT_TRACK_LENGTH)
static const uint _trackdir_length[14] = {
NPF_TILE_LENGTH, NPF_TILE_LENGTH, NPF_STRAIGHT_LENGTH, NPF_STRAIGHT_LENGTH, NPF_STRAIGHT_LENGTH, NPF_STRAIGHT_LENGTH,
0, 0,
@@ -154,36 +154,8 @@ TileIndex CalcClosestStationTile(int station, TileIndex tile) {
return TILE_XY(tx,ty);
};
-/* Calcs the heuristic to the target tile (using NPFFindStationOrTileData).
- * If the target is a station, the heuristic is probably "wrong"! Normally
- * this shouldn't matter, but if it turns out to be a problem, we could use
- * the heuristic below?
- * Afterthis will save the heuristic into NPFFoundTargetData if it is the
- * smallest until now. It will then also save
- * AyStarNode.user_data[NPF_TRACKDIR_CHOICE] in best_trackdir
- */
-int32 NPFCalcTileHeuristic(AyStar* as, AyStarNode* current, OpenListNode* parent) {
- NPFFindStationOrTileData* fstd = (NPFFindStationOrTileData*)as->user_target;
- NPFFoundTargetData* ftd = (NPFFoundTargetData*)as->user_path;
- TileIndex from = current->tile;
- TileIndex to = fstd->dest_coords;
- uint dist = DistanceManhattan(from, to) * NPF_TILE_LENGTH;
-
- if (dist < ftd->best_bird_dist) {
- ftd->best_bird_dist = dist;
- ftd->best_trackdir = current->user_data[NPF_TRACKDIR_CHOICE];
- }
-#ifdef NPF_DEBUG
- debug("Calculating H for: (%d, %d). Result: %d", TileX(current->tile), TileY(current->tile), dist);
-#endif
- return dist;
-}
-
-/* Calcs the heuristic to the target station or tile. Almost the same as above
- * function, but calculates the distance to train stations with
- * CalcClosestStationTile instead. So is somewhat more correct for stations
- * (truly optimistic), but this added correctness is not really required we
- * believe (matthijs & Hackykid)
+/* Calcs the heuristic to the target station or tile. For train stations, it
+ * takes into account the direction of approach.
*/
int32 NPFCalcStationOrTileHeuristic(AyStar* as, AyStarNode* current, OpenListNode* parent) {
NPFFindStationOrTileData* fstd = (NPFFindStationOrTileData*)as->user_target;
@@ -196,7 +168,12 @@ int32 NPFCalcStationOrTileHeuristic(AyStar* as, AyStarNode* current, OpenListNod
if ((as->user_data[NPF_TYPE] == TRANSPORT_RAIL) && (fstd->station_index != -1))
to = CalcClosestStationTile(fstd->station_index, from);
- dist = DistanceManhattan(from, to) * NPF_TILE_LENGTH;
+ if (as->user_data[NPF_TYPE] == TRANSPORT_ROAD)
+ /* Since roads only have diagonal pieces, we use manhattan distance here */
+ dist = DistanceManhattan(from, to) * NPF_TILE_LENGTH;
+ else
+ /* Ships and trains can also go diagonal, so the minimum distance is shorter */
+ dist = DistanceTrack(from, to) * NPF_TILE_LENGTH;
if (dist < ftd->best_bird_dist) {
ftd->best_bird_dist = dist;