| 1 | /* |
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| 2 | * Dijkstra Shortest path algorithm for PostgreSQL |
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| 3 | * |
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| 4 | * Copyright (c) 2007 Anton A. Patrushev, Orkney, Inc. |
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| 5 | * |
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| 6 | * This program is free software; you can redistribute it and/or modify |
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| 7 | * it under the terms of the GNU General Public License as published by |
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| 8 | * the Free Software Foundation; either version 2 of the License, or |
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| 9 | * (at your option) any later version. |
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| 10 | * |
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| 11 | * This program is distributed in the hope that it will be useful, |
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| 12 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 13 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| 14 | * GNU General Public License for more details. |
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| 15 | * |
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| 16 | * You should have received a copy of the GNU General Public License |
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| 17 | * along with this program; if not, write to the Free Software |
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| 18 | * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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| 19 | * |
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| 20 | */ |
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| 21 | |
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| 22 | #ifndef _DIJKSTRA_H_INCLUDED |
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| 23 | #define _DIJKSTRA_H_INCLUDED |
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| 24 | |
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| 25 | #include "ogr_core.h" |
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| 26 | #include "ogr_feature.h" |
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| 27 | #include "ogr_geometry.h" |
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| 28 | |
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| 29 | #include <boost/config.hpp> |
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| 30 | #include <boost/graph/graph_traits.hpp> |
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| 31 | #include <boost/graph/adjacency_list.hpp> |
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| 32 | #include <boost/graph/dijkstra_shortest_paths.hpp> |
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| 33 | |
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| 34 | #include "algorithm.h" |
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| 35 | |
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| 36 | |
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| 37 | using namespace std; |
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| 38 | using namespace boost; |
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| 39 | |
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| 40 | class Dijkstra : public Algorithm |
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| 41 | { |
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| 42 | public: |
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| 43 | Dijkstra(){} |
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| 44 | Dijkstra( char *nameIn, bool directedIn, bool weightedIn, bool reverseCostIn ) |
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| 45 | : Algorithm( nameIn, directedIn, weightedIn, reverseCostIn ){} |
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| 46 | virtual ~Dijkstra(){} |
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| 47 | |
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| 48 | virtual bool addEdge(edge_descriptor *e, OGRFeature *edge, graph_t &graph) |
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| 49 | { |
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| 50 | bool inserted; |
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| 51 | |
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| 52 | tie(*e, inserted) = add_edge(edge->GetFieldAsInteger(SOURCE_FIELD), |
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| 53 | edge->GetFieldAsInteger(TARGET_FIELD), graph); |
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| 54 | return inserted; |
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| 55 | } |
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| 56 | |
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| 57 | virtual void fillFeature(OGRFeature **edges, unsigned int count, edge_descriptor *e, graph_t &graph, int j) |
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| 58 | { |
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| 59 | bool inserted = addEdge(e, edges[j], graph); |
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| 60 | |
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| 61 | graph[*e].cost = edges[j]->GetFieldAsDouble(COST_FIELD);//set cost |
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| 62 | graph[*e].id = j;//set id |
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| 63 | |
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| 64 | |
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| 65 | if (!IsDirected() || (IsDirected() && HasReverseCost())) |
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| 66 | { |
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| 67 | edge_descriptor *er; |
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| 68 | //adding an edge for opposite direction |
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| 69 | bool inserted = addEdge(er, edges[j], graph); |
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| 70 | |
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| 71 | graph[*er].id = j;//set id |
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| 72 | |
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| 73 | if (HasReverseCost()) |
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| 74 | { |
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| 75 | graph[*er].cost = edges[j]->GetFieldAsDouble(RC_FIELD);//set reverse cost |
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| 76 | } |
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| 77 | else |
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| 78 | { |
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| 79 | graph[*er].cost = edges[j]->GetFieldAsDouble(COST_FIELD);//set cost |
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| 80 | } |
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| 81 | } |
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| 82 | } |
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| 83 | |
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| 84 | virtual int getRoute(int start, int end, OGRFeature **edges, OGRFeature **result, int *resultCount, graph_t &graph) |
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| 85 | { |
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| 86 | std::vector<vertex_descriptor> predecessors(num_vertices(graph)); |
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| 87 | |
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| 88 | vertex_descriptor source = vertex(start, graph); |
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| 89 | |
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| 90 | if (source < 0) |
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| 91 | { |
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| 92 | return NO_SOURCE_FOUND; |
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| 93 | } |
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| 94 | |
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| 95 | vertex_descriptor target = vertex(end, graph); |
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| 96 | if (target < 0) |
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| 97 | { |
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| 98 | return NO_TARGET_FOUND; |
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| 99 | } |
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| 100 | |
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| 101 | std::vector<double> distances(num_vertices(graph)); |
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| 102 | |
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| 103 | dijkstra_shortest_paths(graph, source, |
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| 104 | predecessor_map(&predecessors[0]). |
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| 105 | weight_map(get(&Edge::cost, graph)) |
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| 106 | .distance_map(&distances[0])); |
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| 107 | |
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| 108 | return makeResult(target, source, edges, predecessors, result, resultCount, graph); |
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| 109 | |
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| 110 | } |
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| 111 | |
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| 112 | virtual int makeResult(vertex_descriptor target, vertex_descriptor source, |
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| 113 | OGRFeature **edges, |
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| 114 | std::vector<vertex_descriptor> &predecessors, |
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| 115 | OGRFeature **result, int *resultCount, graph_t &graph) |
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| 116 | { |
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| 117 | vector<int> path_vect; |
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| 118 | int max = MAX_NODES; |
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| 119 | path_vect.push_back(target); |
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| 120 | |
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| 121 | while (target != source) |
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| 122 | { |
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| 123 | if (target == predecessors[target]) |
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| 124 | { |
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| 125 | return NO_PATH_FOUND; |
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| 126 | } |
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| 127 | target = predecessors[target]; |
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| 128 | |
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| 129 | path_vect.push_back(target); |
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| 130 | if (!max--) |
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| 131 | { |
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| 132 | return RESULT_OVERFLOW; |
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| 133 | } |
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| 134 | } |
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| 135 | |
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| 136 | //*result = (OGRFeature *) malloc(sizeof(OGRFeature) * (path_vect.size() + 1)); |
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| 137 | //Let's try to do it in C++ style |
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| 138 | result = new OGRFeature* [path_vect.size() + 1]; |
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| 139 | *resultCount = path_vect.size(); |
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| 140 | int i, j; |
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| 141 | |
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| 142 | for(i = path_vect.size() - 1, j = 0; i >= 0; i--, j++) |
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| 143 | { |
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| 144 | graph_traits < graph_t >::vertex_descriptor v_src; |
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| 145 | graph_traits < graph_t >::vertex_descriptor v_targ; |
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| 146 | graph_traits < graph_t >::edge_descriptor e; |
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| 147 | graph_traits < graph_t >::out_edge_iterator out_i, out_end; |
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| 148 | |
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| 149 | if (i == 0) |
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| 150 | { |
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| 151 | continue; |
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| 152 | } |
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| 153 | |
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| 154 | v_src = path_vect.at(i); |
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| 155 | v_targ = path_vect.at(i - 1); |
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| 156 | |
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| 157 | for (tie(out_i, out_end) = out_edges(v_src, graph); |
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| 158 | out_i != out_end; ++out_i) |
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| 159 | { |
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| 160 | graph_traits < graph_t >::vertex_descriptor v, targ; |
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| 161 | e = *out_i; |
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| 162 | v = boost::source(e, graph); |
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| 163 | targ = boost::target(e, graph); |
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| 164 | |
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| 165 | if (targ == v_targ) |
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| 166 | { |
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| 167 | result[j] = edges[graph[*out_i].id]; |
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| 168 | break; |
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| 169 | } |
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| 170 | } |
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| 171 | } |
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| 172 | |
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| 173 | return EXIT_SUCCESS; |
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| 174 | } |
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| 175 | }; |
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| 176 | |
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| 177 | #endif |
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