#include #include #include #include #include #include #include using namespace std; const int MIN_TIME = 6 * 60; const int MAX_TIME = 21 * 60; struct City { int id, x, y; long long w; }; struct Flight { int from, to, s, t; }; int get_travel_time(const City& a, const City& b) { double d = sqrt(pow(a.x - b.x, 2) + pow(a.y - b.y, 2)); int duration = ceil((60.0 * d / 800.0) + 40.0); return ((duration + 4) / 5) * 5; } string int_to_time(int t) { ostringstream oss; oss << setfill('0') << setw(2) << (t / 60) << ":" << setw(2) << (t % 60); return oss.str(); } int ssq[48][48][21]; bool captured[48][48][21]; int main() { ios::sync_with_stdio(false); cin.tie(nullptr); int N, R; cin >> N >> R; vector cities(N); for (int i = 0; i < N; ++i) cin >> cities[i].x >> cities[i].y >> cities[i].w; int M; cin >> M; for (int i = 0; i < 48; ++i) for (int j = 0; j < 48; ++j) for (int t = 0; t < 21; ++t) ssq[i][j][t] = -1; for (int i = 0; i < M; ++i) { int a, b; string s, t; cin >> a >> s >> b >> t; int si = (stoi(s.substr(0, 2)) * 60 + stoi(s.substr(3, 2))); int ti = (stoi(t.substr(0, 2)) * 60 + stoi(t.substr(3, 2))); for (int k = 0; k < 21; ++k) if (ti <= 660 + k * 30) ssq[a][b][k] = max(ssq[a][b][k], si); } int K; cin >> K; vector> res(K); for (int k = 0; k < K; ++k) { // 初期位置を人口上位5都市に集中させる int cur_city = (k % 5) + 1; int cur_time = MIN_TIME; while (cur_time < MAX_TIME) { int best_to = -1, best_s = -1, best_dur = -1; double max_val = -1e18; // 評価値 // 待機時間を長め(120分)まで許容し、ベストな出発タイミングを探る for (int wait = 0; wait <= 120; wait += 5) { int st = cur_time + wait; if (st > MAX_TIME - 45) break; for (int nxt = 1; nxt <= N; ++nxt) { if (cur_city == nxt) continue; int dur = get_travel_time(cities[cur_city-1], cities[nxt-1]); int arr = st + dur; if (arr > MAX_TIME) continue; double dx = cities[cur_city-1].x - cities[nxt-1].x, dy = cities[cur_city-1].y - cities[nxt-1].y; if (sqrt(dx*dx + dy*dy) < 250.0) continue; long long current_share_gain = 0; for (int t = 0; t < 21; ++t) { if (arr <= 660 + t * 30 && !captured[cur_city][nxt][t]) { if (st > ssq[cur_city][nxt][t]) { current_share_gain += cities[cur_city-1].w * cities[nxt-1].w; } } } // --- 時空間評価ロジック --- double evaluation = (double)current_share_gain; // 1. 時間帯ボーナス: 夕方(16:00-19:00)の便は価値を高める if (st >= 16 * 60 && st <= 19 * 60) evaluation *= 1.3; // 2. ハブ滞在ボーナス: 目的地が人口の多い都市なら、将来の選択肢が広がるため加点 double hub_potential = (double)cities[nxt-1].w / 1e6; evaluation += hub_potential * 10.0; // 3. 待機ペナルティ: 待ちすぎると効率が落ちるが、利益が大きいなら待つ価値あり evaluation -= (double)wait * 0.5; if (evaluation > max_val) { max_val = evaluation; best_to = nxt; best_s = st; best_dur = dur; } } } if (best_to != -1 && max_val > 0) { res[k].push_back({cur_city, best_to, best_s, best_s + best_dur}); for (int t = 0; t < 21; ++t) { if (best_s + best_dur <= 660 + t * 30 && best_s > ssq[cur_city][best_to][t]) captured[cur_city][best_to][t] = true; } cur_city = best_to; cur_time = best_s + best_dur; } else { // 良い便がない場合、最も人口の多い都市(1)へ移動して次のチャンスを待つ if (cur_city == 1) break; int dur = get_travel_time(cities[cur_city-1], cities[0]); if (cur_time + dur <= MAX_TIME) { res[k].push_back({cur_city, 1, cur_time, cur_time + dur}); cur_city = 1; cur_time += dur; } else break; } } } for (int k = 0; k < K; ++k) { cout << res[k].size() << "\n"; for (auto& f : res[k]) cout << f.from << " " << int_to_time(f.s) << " " << f.to << " " << int_to_time(f.t) << "\n"; } return 0; }