1 | |
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2 | |
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3 | // |
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4 | //======================================================================= |
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5 | // Copyright (c) 2004 Kristopher Beevers |
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6 | // |
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7 | // Distributed under the Boost Software License, Version 1.0. (See |
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8 | // accompanying file LICENSE_1_0.txt or copy at |
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9 | // http://www.boost.org/LICENSE_1_0.txt) |
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10 | //======================================================================= |
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11 | // |
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12 | |
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13 | |
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14 | #include <boost/graph/astar_search.hpp> |
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15 | #include <boost/graph/adjacency_list.hpp> |
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16 | #include <boost/graph/random.hpp> |
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17 | #include <boost/random.hpp> |
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18 | #include <vector> |
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19 | #include <list> |
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20 | #include <iostream> |
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21 | #include <math.h> // for sqrt |
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22 | #include <time.h> |
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23 | |
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24 | using namespace boost; |
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25 | using namespace std; |
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26 | |
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27 | |
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28 | // auxiliary types |
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29 | struct location |
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30 | { |
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31 | float y, x; // lat, long |
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32 | }; |
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33 | typedef float cost; |
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34 | |
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35 | template <class Name, class LocMap> |
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36 | class city_writer { |
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37 | public: |
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38 | city_writer(Name n, LocMap l, float _minx, float _maxx, |
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39 | float _miny, float _maxy, |
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40 | unsigned int _ptx, unsigned int _pty) |
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41 | : name(n), loc(l), minx(_minx), maxx(_maxx), miny(_miny), |
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42 | maxy(_maxy), ptx(_ptx), pty(_pty) {} |
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43 | template <class Vertex> |
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44 | void operator()(ostream& out, const Vertex& v) const { |
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45 | float px = 1 - (loc[v].x - minx) / (maxx - minx); |
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46 | float py = (loc[v].y - miny) / (maxy - miny); |
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47 | out << "[label=\"" << name[v] << "\", pos=\"" |
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48 | << static_cast<unsigned int>(ptx * px) << "," |
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49 | << static_cast<unsigned int>(pty * py) |
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50 | << "\", fontsize=\"11\"]"; |
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51 | } |
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52 | private: |
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53 | Name name; |
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54 | LocMap loc; |
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55 | float minx, maxx, miny, maxy; |
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56 | unsigned int ptx, pty; |
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57 | }; |
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58 | |
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59 | template <class WeightMap> |
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60 | class time_writer { |
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61 | public: |
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62 | time_writer(WeightMap w) : wm(w) {} |
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63 | template <class Edge> |
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64 | void operator()(ostream &out, const Edge& e) const { |
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65 | out << "[label=\"" << wm[e] << "\", fontsize=\"11\"]"; |
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66 | } |
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67 | private: |
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68 | WeightMap wm; |
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69 | }; |
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70 | |
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71 | |
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72 | // euclidean distance heuristic |
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73 | template <class Graph, class CostType, class LocMap> |
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74 | class distance_heuristic : public astar_heuristic<Graph, CostType> |
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75 | { |
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76 | public: |
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77 | typedef typename graph_traits<Graph>::vertex_descriptor Vertex; |
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78 | distance_heuristic(LocMap l, Vertex goal) |
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79 | : m_location(l), m_goal(goal) {} |
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80 | CostType operator()(Vertex u) |
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81 | { |
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82 | CostType dx = m_location[m_goal].x - m_location[u].x; |
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83 | CostType dy = m_location[m_goal].y - m_location[u].y; |
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84 | return ::sqrt(dx * dx + dy * dy); |
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85 | } |
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86 | private: |
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87 | LocMap m_location; |
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88 | Vertex m_goal; |
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89 | }; |
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90 | |
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91 | |
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92 | struct found_goal {}; // exception for termination |
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93 | |
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94 | // visitor that terminates when we find the goal |
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95 | template <class Vertex> |
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96 | class astar_goal_visitor : public boost::default_astar_visitor |
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97 | { |
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98 | public: |
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99 | astar_goal_visitor(Vertex goal) : m_goal(goal) {} |
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100 | template <class Graph> |
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101 | void examine_vertex(Vertex u, Graph& g) { |
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102 | if(u == m_goal) |
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103 | throw found_goal(); |
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104 | } |
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105 | private: |
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106 | Vertex m_goal; |
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107 | }; |
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108 | |
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109 | |
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110 | int main(int argc, char **argv) |
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111 | { |
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112 | |
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113 | // specify some types |
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114 | typedef adjacency_list<listS, vecS, undirectedS, no_property, |
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115 | property<edge_weight_t, cost> > mygraph_t; |
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116 | typedef property_map<mygraph_t, edge_weight_t>::type WeightMap; |
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117 | typedef mygraph_t::vertex_descriptor vertex; |
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118 | typedef mygraph_t::edge_descriptor edge_descriptor; |
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119 | typedef mygraph_t::vertex_iterator vertex_iterator; |
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120 | typedef std::pair<int, int> edge; |
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121 | |
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122 | // specify data |
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123 | enum nodes { |
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124 | Troy, LakePlacid, Plattsburgh, Massena, Watertown, Utica, |
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125 | Syracuse, Rochester, Buffalo, Ithaca, Binghamton, Woodstock, |
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126 | NewYork, N |
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127 | }; |
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128 | const char *name[] = { |
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129 | "Troy", "Lake Placid", "Plattsburgh", "Massena", |
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130 | "Watertown", "Utica", "Syracuse", "Rochester", "Buffalo", |
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131 | "Ithaca", "Binghamton", "Woodstock", "New York" |
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132 | }; |
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133 | location locations[] = { // lat/long |
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134 | {42.73, 73.68}, {44.28, 73.99}, {44.70, 73.46}, |
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135 | {44.93, 74.89}, {43.97, 75.91}, {43.10, 75.23}, |
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136 | {43.04, 76.14}, {43.17, 77.61}, {42.89, 78.86}, |
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137 | {42.44, 76.50}, {42.10, 75.91}, {42.04, 74.11}, |
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138 | {40.67, 73.94} |
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139 | }; |
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140 | edge edge_array[] = { |
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141 | edge(Troy,Utica), edge(Troy,LakePlacid), |
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142 | edge(Troy,Plattsburgh), edge(LakePlacid,Plattsburgh), |
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143 | edge(Plattsburgh,Massena), edge(LakePlacid,Massena), |
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144 | edge(Massena,Watertown), edge(Watertown,Utica), |
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145 | edge(Watertown,Syracuse), edge(Utica,Syracuse), |
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146 | edge(Syracuse,Rochester), edge(Rochester,Buffalo), |
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147 | edge(Syracuse,Ithaca), edge(Ithaca,Binghamton), |
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148 | edge(Ithaca,Rochester), edge(Binghamton,Troy), |
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149 | edge(Binghamton,Woodstock), edge(Binghamton,NewYork), |
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150 | edge(Syracuse,Binghamton), edge(Woodstock,Troy), |
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151 | edge(Woodstock,NewYork) |
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152 | }; |
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153 | unsigned int num_edges = sizeof(edge_array) / sizeof(edge); |
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154 | cost weights[] = { // estimated travel time (mins) |
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155 | 96, 134, 143, 65, 115, 133, 117, 116, 74, 56, |
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156 | 84, 73, 69, 70, 116, 147, 173, 183, 74, 71, 124 |
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157 | }; |
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158 | |
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159 | |
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160 | // create graph |
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161 | mygraph_t g(N); |
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162 | WeightMap weightmap = get(edge_weight, g); |
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163 | for(std::size_t j = 0; j < num_edges; ++j) { |
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164 | edge_descriptor e; bool inserted; |
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165 | tie(e, inserted) = add_edge(edge_array[j].first, |
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166 | edge_array[j].second, g); |
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167 | weightmap[e] = weights[j]; |
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168 | } |
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169 | |
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170 | |
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171 | // pick random start/goal |
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172 | minstd_rand gen(time(0)); |
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173 | vertex start = gen() % num_vertices(g); |
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174 | vertex goal = gen() % num_vertices(g); |
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175 | |
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176 | |
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177 | cout << "Start vertex: " << name[start] << endl; |
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178 | cout << "Goal vertex: " << name[goal] << endl; |
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179 | |
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180 | vector<mygraph_t::vertex_descriptor> p(num_vertices(g)); |
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181 | vector<cost> d(num_vertices(g)); |
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182 | try { |
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183 | // call astar named parameter interface |
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184 | astar_search |
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185 | (g, start, |
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186 | distance_heuristic<mygraph_t, cost, location*> |
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187 | (locations, goal), |
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188 | predecessor_map(&p[0]).distance_map(&d[0]). |
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189 | visitor(astar_goal_visitor<vertex>(goal))); |
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190 | |
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191 | |
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192 | } catch(found_goal fg) { // found a path to the goal |
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193 | list<vertex> shortest_path; |
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194 | for(vertex v = goal;; v = p[v]) { |
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195 | shortest_path.push_front(v); |
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196 | if(p[v] == v) |
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197 | break; |
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198 | } |
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199 | cout << "Shortest path from " << name[start] << " to " |
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200 | << name[goal] << ": "; |
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201 | list<vertex>::iterator spi = shortest_path.begin(); |
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202 | cout << name[start]; |
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203 | for(++spi; spi != shortest_path.end(); ++spi) |
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204 | cout << " -> " << name[*spi]; |
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205 | cout << endl << "Total travel time: " << d[goal] << endl; |
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206 | return 0; |
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207 | } |
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208 | |
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209 | cout << "Didn't find a path from " << name[start] << "to" |
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210 | << name[goal] << "!" << endl; |
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211 | return 0; |
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212 | |
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213 | } |
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