finished debugging generate_signals.py (6_use_class_gs.ipynb)

Scripts/generate_signals.py

@@ -307,6 +307,19 @@ class SignalGenerator():
             inter_no = self.node2inter[parent_id]
             self.pa2ch[parent_id] = list(self.inter_node[(self.inter_node.inter_no==inter_no) & (self.inter_node.inter_type=='child')].node_id)
 
+        # 유효한 노드들만을 다시 id 목록 정의 
+        # (history 기준으로 유효함을 설정했으나, 추후 더 조건이 필요할 수 있음)
+        valid_parent_ids = [self.inter2node[inter_no] for inter_no in set(self.history.inter_no)]
+        invalid_parent_ids = [parent_id for parent_id in self.parent_ids if not parent_id in valid_parent_ids ]
+        invalid_child_ids = []
+        for parent_id in invalid_parent_ids:
+            invalid_child_ids.extend(self.pa2ch[parent_id])
+        self.parent_ids = sorted(set(self.parent_ids) - set(invalid_parent_ids))
+        self.node_ids = sorted(set(self.node_ids) - set(invalid_parent_ids))
+        self.child_ids = sorted(set(self.child_ids) - set(invalid_child_ids))
+        self.uturn_ids = sorted(set(self.uturn_ids) - set(invalid_child_ids))
+        self.coord_ids = sorted(set(self.coord_ids) - set(invalid_child_ids))
+
         # node2num_cycles : A dictionary that maps a node_id to the number of cycles
         with open(os.path.join(self.path_intermediates, 'node2num_cycles.json'), 'r') as file:
             # json.load() 함수를 사용해 파일 내용을 Python 딕셔너리로 불러옵니다.
@@ -748,7 +761,18 @@ class SignalGenerator():
         self.sigtable = []
         sim_start = self.present_time - self.sim_timespan
         for node_id, group in self.histids.groupby('node_id'):
-            lsbs = group[group['start_unix'] < sim_start]['start_unix'].max() # the last start_unix before sim_start
+            series = group[group['start_unix'] < sim_start]['start_unix']
+            # lsbs : the last start_unix before sim_start
+            if len(series):
+                lsbs = series.max()
+            else:
+                min_start_unix = int(group['start_unix'].min())
+                inter_no = self.node2inter[node_id]
+                _, prow = self.load_prow(inter_no, min_start_unix)
+                cycle = prow.iloc[0]['cycle']
+                lsbs = min_start_unix
+                while lsbs > sim_start:
+                    lsbs -= cycle
             self.offsets[node_id] = lsbs - sim_start
             group = group[group.start_unix >= lsbs]
             start_unixes = np.array(group.start_unix)
@@ -857,6 +881,14 @@ class SignalGenerator():
 
     # 5-2-3 helper function of 5-2
     def cumulate(self, sig, alph):
+
+        sig[f'phas_{alph}'] = sig[f'phas_{alph}'].astype(int)
+        # 만약 현시번호가 1로 일정하면 2현시를 가상으로 추가
+        if (sig[f'phas_{alph}']==1).all():
+            sig_dup = sig.copy() 
+            sig_dup[f'phas_{alph}'] = 2
+            sig = pd.concat([sig, sig_dup]).sort_values(by=['start_unix', f'phas_{alph}'])
+
         csig = [] # cumulated sig
         pre = pd.Series({f'phas_{alph}':None})
 

Scripts/preprocess_daily.py

@@ -23,6 +23,7 @@ class DailyPreprocessor():
         self.path_results = os.path.join(self.path_root, *self.paths['results'])
         self.path_tables = os.path.join(self.path_root, *self.paths['tables'])
         self.path_networks = os.path.join(self.path_root, *self.paths['networks'])
+        self.path_network = os.path.join(self.path_root, *self.paths['network'])
         self.path_scripts = os.path.join(self.path_root, *self.paths['scripts'])
 
         # 이슈사항 목록
@@ -40,7 +41,7 @@ class DailyPreprocessor():
 
     # 1-1. 네트워크 불러오기
     def load_networks(self):
-        self.net = sumolib.net.readNet(os.path.join(self.path_networks, self.file_net))
+        self.net = sumolib.net.readNet(self.path_network)
         print("1-1. 네트워크가 로드되었습니다.")
 
     # 1-2. 테이블 불러오기
@@ -734,7 +735,7 @@ class DailyPreprocessor():
             all_redsigns = (cmatch.move_no==18) & ~ out_true
 
             # 보행신호시/좌회전시 진입/진출 엣지id 배정
-            cmatch[['inc_edge_id', 'out_edge_id']] = np.nan
+            cmatch[['inc_edge_id', 'out_edge_id']] = None
             if condition == "보행신호시":
                 cmatch.loc[pedes_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]
             elif condition == "좌회전시":

analysis/0725_main_test/4_use_class_pd.ipynb

@@ -25,7 +25,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "self = DailyPreprocessor(config_name='test_0731',\n",
+    "self = DailyPreprocessor(config_name = 'test_0731',\n",
     "                         file_net = 'new_sungnam_network_internal_target_0721.net.xml')"
    ]
   },
@@ -69,29 +69,24 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1-5. 테이블을 표준화했습니다.\n"
+     ]
+    }
+   ],
    "source": [
-    "# self.angle"
+    "# 1-5. 테이블 표준화\n",
+    "self.standardize()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# angle_A = self.angle[self.angle.ring_type=='A']\n",
-    "# angle_B = self.angle[self.angle.ring_type=='B']\n",
-    "# isa2move_A = dict(zip(zip(angle_A.inter_no, angle_A.STOS_NO, angle_A.phase_no), angle_A.move_no))\n",
-    "# isa2move_B = dict(zip(zip(angle_B.inter_no, angle_B.STOS_NO, angle_B.phase_no), angle_B.move_no))\n",
-    "# isa2move = {'A':isa2move_A, 'B':isa2move_B}\n",
-    "# isa2move"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -108,20 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "self.parent_ids = sorted(self.inter_node[self.inter_node.inter_type=='parent'].node_id.unique())\n",
-    "self.child_ids = sorted(self.inter_node[self.inter_node.inter_type=='child'].node_id.unique())\n",
-    "self.uturn_ids = sorted(self.uturn.child_id.unique())\n",
-    "self.coord_ids = sorted(self.coord.child_id.unique())\n",
-    "self.node_ids = self.parent_ids + self.child_id"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -139,7 +121,148 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "self.make_match1()\n",
+    "self.make_match2()\n",
+    "self.make_match3()\n",
+    "self.make_match4()\n",
+    "self.make_match5()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "self.uturn = pd.merge(self.uturn, self.u_condition, on='child_id')\n",
+    "\n",
+    "# p2inc_edge2angle : node_id to inc_edge2angle\n",
+    "p2inc_edge2angle = dict()\n",
+    "# p2out_edge2angle : node_id to out_edge2angle\n",
+    "p2out_edge2angle = dict()\n",
+    "# p2inc_angle2edge : node_id to inc_angle2edge\n",
+    "p2inc_angle2edge = dict()\n",
+    "# p2out_angle2edge : node_id to out_angle2edge\n",
+    "p2out_angle2edge = dict()\n",
+    "for node_id in self.parent_ids:\n",
+    "    m5 = self.match5[self.match5.node_id==node_id]\n",
+    "    m5 = m5.dropna(subset=['inc_edge_id', 'out_edge_id'])\n",
+    "    # inc_edge2angle : inc_edge_id to inc_angle\n",
+    "    inc_edge2angle = dict(zip(m5.inc_edge_id, m5.inc_angle.astype(int)))\n",
+    "    p2inc_edge2angle[node_id] = inc_edge2angle\n",
+    "    # out_edge2angle : out_edge_id to out_angle\n",
+    "    out_edge2angle = dict(zip(m5.out_edge_id, m5.out_angle.astype(int)))\n",
+    "    p2out_edge2angle[node_id] = out_edge2angle\n",
+    "    # inc_angle2edge : inc_angle to inc_edge_id\n",
+    "    inc_angle2edge = dict(zip(m5.inc_angle.astype(int), m5.inc_edge_id))\n",
+    "    p2inc_angle2edge[node_id] = inc_angle2edge\n",
+    "    # out_angle2edge : out_angle to out_edge_id\n",
+    "    out_angle2edge = dict(zip(m5.out_angle.astype(int), m5.out_edge_id))\n",
+    "    p2out_angle2edge[node_id] = out_angle2edge\n",
+    "# 각 uturn node에 대하여 (inc_edge_id, out_edge_id) 부여\n",
+    "cmatches = []\n",
+    "row = self.uturn.iloc[0]\n",
+    "parent_id = row.parent_id\n",
+    "child_id = row.child_id\n",
+    "condition = row.condition\n",
+    "inc_edge_id = row.inc_edge_id\n",
+    "out_edge_id = row.out_edge_id\n",
+    "print(type(inc_edge_id))\n",
+    "adj_inc_edge_id = row.adj_inc_edge_id\n",
+    "adj_out_edge_id = row.adj_out_edge_id\n",
+    "\n",
+    "# match5에서 부모노드id에 해당하는 행들을 가져옴 (cmatch)\n",
+    "cmatch = self.match5.copy()[self.match5.node_id==parent_id] # match dataframe for a child node\n",
+    "cmatch = cmatch.sort_values(by=['phase_no', 'ring_type']).reset_index(drop=True)\n",
+    "cmatch['node_id'] = child_id\n",
+    "cmatch['node_type'] = 'u_turn'\n",
+    "\n",
+    "# 진입엣지 각도\n",
+    "inc_angle = p2inc_edge2angle[parent_id][adj_inc_edge_id]\n",
+    "\n",
+    "# 이격각도\n",
+    "self.angle_separation = 10\n",
+    "\n",
+    "# 진입로 각도 목록\n",
+    "inc_angles = cmatch.dropna(subset=['inc_angle', 'out_angle']).inc_angle.astype(int).unique()\n",
+    "inc_angles = np.sort(inc_angles)\n",
+    "inc_angles = list(inc_angles - 360) + list(inc_angles) + list(inc_angles + 360)\n",
+    "inc_angles = np.array(inc_angles)\n",
+    "\n",
+    "# 보행신호시의 진입로 각도\n",
+    "inc_angles_left = inc_angles[inc_angles >= inc_angle + self.angle_separation]\n",
+    "inc_angle_pedes = np.sort(inc_angles_left)[0] % 360\n",
+    "\n",
+    "# 보행신호시의 진입로 엣지id\n",
+    "inc_angle2edge = p2inc_angle2edge[parent_id]\n",
+    "inc_edge_id_pedes = inc_angle2edge[inc_angle_pedes]\n",
+    "\n",
+    "# 진출로 각도 목록\n",
+    "out_angles = cmatch.dropna(subset=['inc_angle', 'out_angle']).out_angle.astype(int).unique()\n",
+    "out_angles = np.sort(out_angles)\n",
+    "out_angles = list(out_angles - 360) + list(out_angles) + list(out_angles + 360)\n",
+    "out_angles = np.array(out_angles)\n",
+    "\n",
+    "# 보행신호시의 진출로 각도\n",
+    "out_angles_right = out_angles[out_angles <= inc_angle - self.angle_separation]\n",
+    "out_angle_pedes = np.sort(out_angles_right)[-1] % 360\n",
+    "\n",
+    "# 보행신호시의 진출로 엣지id\n",
+    "out_angle2edge = p2out_angle2edge[parent_id]\n",
+    "out_edge_id_pedes = out_angle2edge[out_angle_pedes]\n",
+    "\n",
+    "# 진입엣지/진출엣지 포함 조건\n",
+    "inc_true = (cmatch.inc_edge_id==adj_inc_edge_id)\n",
+    "out_true = (cmatch.out_edge_id==adj_out_edge_id)\n",
+    "\n",
+    "# 보행신호시 조건\n",
+    "pedes_flag = (cmatch.inc_edge_id==inc_edge_id_pedes) & (cmatch.out_edge_id==out_edge_id_pedes)\n",
+    "\n",
+    "# 좌회전시 조건\n",
+    "right_flag = inc_true & (cmatch.turn_type=='left')\n",
+    "\n",
+    "# 보행신호이동류(17) 조건\n",
+    "crosswalk_on = (cmatch.move_no==17) & ~ out_true\n",
+    "\n",
+    "# 신호없음이동류(18) 조건\n",
+    "all_redsigns = (cmatch.move_no==18) & ~ out_true"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(type(inc_edge_id))\n",
+    "print(type(out_edge_id))\n",
+    "print(cmatch[['inc_edge_id', 'out_edge_id']].info())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(inc_edge_id, out_edge_id)\n",
+    "# 보행신호시/좌회전시 진입/진출 엣지id 배정\n",
+    "cmatch[['inc_edge_id', 'out_edge_id']] = None\n",
+    "if condition == \"보행신호시\":\n",
+    "    cmatch.loc[pedes_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
+    "elif condition == \"좌회전시\":\n",
+    "    cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
+    "\n",
+    "uturn_not_assigned = cmatch[['inc_edge_id','out_edge_id']].isna().any(axis=1).all()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -152,36 +275,6 @@
       "2-4. 직진 및 좌회전(G)을 배정했습니다.\n",
       "2-5. node2num_cycles.json를 저장했습니다.\n"
      ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519797' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519796' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519799' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519798' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519801' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519800' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519873' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519874' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '516929' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '517055' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519834' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
-      "c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519833' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
-      "  cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n"
-     ]
     }
    ],
    "source": [
@@ -200,17 +293,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3. 이슈사항을 저장합니다.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "self.write_issues()"
    ]

configs/config_test_0731.json

@@ -9,5 +9,6 @@
      "results":["test_0731", "results"],
      "tables":["test_0731", "data","tables"],
      "networks":["test_0731", "data", "networks"],
+     "network":["test_0731", "data", "networks", "new_sungnam_network_internal_target_0721.net.xml"],
      "scripts": ["scripts"]}
 }

test_0731/results/sn_1722384300.add.xml

@@ -0,0 +1,315 @@
+<additional>
+    <tlLogic id="106231" type="static" programID="106231_prog" offset="-32">
+      <phase duration="11" state="grgrrGGG"/>
+      <phase duration="4" state="grgrrGGy"/>
+      <phase duration="24" state="grgGGGGr"/>
+      <phase duration="4" state="grgyyyyr"/>
+      <phase duration="8" state="gGgrrrrr"/>
+      <phase duration="4" state="gygrrrrr"/>
+      <phase duration="31" state="grgrrrrr"/>
+      <phase duration="4" state="grgrrrrr"/>
+      <phase duration="11" state="grgrrGGG"/>
+      <phase duration="4" state="grgrrGGy"/>
+      <phase duration="24" state="grgGGGGr"/>
+      <phase duration="4" state="grgyyyyr"/>
+      <phase duration="8" state="gGgrrrrr"/>
+      <phase duration="4" state="gygrrrrr"/>
+      <phase duration="31" state="grgrrrrr"/>
+      <phase duration="4" state="grgrrrrr"/>
+      <phase duration="11" state="grgrrGGG"/>
+      <phase duration="4" state="grgrrGGy"/>
+      <phase duration="24" state="grgGGGGr"/>
+      <phase duration="4" state="grgyyyyr"/>
+      <phase duration="8" state="gGgrrrrr"/>
+      <phase duration="4" state="gygrrrrr"/>
+      <phase duration="31" state="grgrrrrr"/>
+      <phase duration="4" state="grgrrrrr"/>
+      <phase duration="26" state="grgrrGGG"/>
+      <phase duration="4" state="grgrrGGy"/>
+      <phase duration="52" state="grgGGGGr"/>
+      <phase duration="4" state="grgyyyyr"/>
+      <phase duration="20" state="gGgrrrrr"/>
+      <phase duration="4" state="gygrrrrr"/>
+      <phase duration="66" state="grgrrrrr"/>
+      <phase duration="4" state="grgrrrrr"/>
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