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신호생성 repo (24. 1. 5 ~).
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siggen/analysis/0809_make_intermediates/make_intermediates.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"import os, sumolib\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib_venn import venn2, venn3\n",
"from datetime import datetime"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"class DailyPreprocessor:\n",
" def __init__(self, config_name='revised', nowTime=datetime.now()):\n",
" self.config_name = config_name\n",
" self.nowTime = nowTime\n",
"self = DailyPreprocessor(nowTime = datetime.now())"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"self.net = sumolib.net.readNet('new_sungnam_network_internal_target_0811.net.xml')"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# ## 교차로목록 정의\n",
"# sixties = pd.read_excel('교차로기반정보_(시범지역).xlsx', header=1)\n",
"# self.inter_nos = set(sixties['교차로 ID'].dropna().astype(int))\n",
"# # 551, 561은 TC_IF_TOD_RED_YELLO, TN_IF_SIGL_FLOW에 존재하지 않음. TOD 보고서에서도 확인할 수 없음\n",
"# # 551 : 보육시설 삼거리, 561 : 공영주차장 단일로\n",
"\n",
"\n",
"# self.inter_nos = self.inter_nos - {551, 561}\n",
"# # 464는 매칭테이블에 존재하지 않음. 500에 매칭되는 node_id가 네트워크에 존재하지 않음.\n",
"# # 464 : 성남공판장 단일로, 500 : 단남아파트 단일로\n",
"# self.inter_nos = self.inter_nos - {464, 500}\n",
"# print(len(self.inter_nos))\n",
"# inter_nos_display = \", \".join(map(str, sorted(self.inter_nos)))\n",
"# inter_nos_display = \"\\n\".join([inter_nos_display[i:i+100] for i in range(0, len(inter_nos_display), 100)])\n",
"# # print(len(inter_nos_display))\n",
"# print(inter_nos_display)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
"## 매칭테이블 정의, 교차로-노드 딕셔너리 정의\n",
"self.inter_node = pd.read_excel('signal_node_matching.xlsx', dtype={'node_id':str})\n",
"self.inter_node = self.inter_node.rename(columns={'signal_id':'inter_no'})\n",
"self.inter_node['inter_type'] = 'parent'\n",
"self.inter_node = self.inter_node[self.inter_node.node_id.isin(node.getID() for node in self.net.getNodes())]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"## 매칭테이블 정의, 교차로-노드 딕셔너리 정의\n",
"self.inter_node = pd.read_excel('signal_node_matching.xlsx', dtype={'node_id':str})\n",
"self.inter_node = self.inter_node.rename(columns={'signal_id':'inter_no'})\n",
"self.inter_node['inter_type'] = 'parent'\n",
"# self.inter_node = self.inter_node[self.inter_node.inter_no.isin(self.inter_nos)].reset_index(drop=True)\n",
"self.inter_nos = sorted(self.inter_node.inter_no)\n",
"\n",
"# 일대일대응 확인\n",
"if not len(self.inter_node) == self.inter_node.inter_no.nunique() == self.inter_node.node_id.nunique():\n",
" raise ValueError(\"Warning: 'inter_no'와 'node_id' 간에 일대일대응 관계가 성립하지 않습니다.\")\n",
"\n",
"# 교차로번호 vs 노드id 간 딕셔너리\n",
"self.inter2node = dict(zip(self.inter_node.inter_no, self.inter_node.node_id))\n",
"self.node2inter = dict(zip(self.inter_node.node_id, self.inter_node.inter_no))\n",
"self.node_ids = {self.inter2node[inter_no] for inter_no in self.inter_nos}"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"# net = sumolib.net.readNet('new_sungnam_network_internal_0809.net.xml')\n",
"# inter_node = pd.read_excel('signal_node_matching.xlsx', dtype={'node_id':str})\n",
"# print(len(set(inter_node.signal_id)))\n",
"# print(inter_nos - set(inter_node.signal_id))\n",
"# inter_node = inter_node[inter_node.node_id.isin(node.getID() for node in net.getNodes())]\n",
"# print(len(set(inter_node.signal_id)))\n",
"# print(inter_nos - set(inter_node.signal_id))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"## 테이블 표준화\n",
"\n",
"# 주요 테이블 로드 (실제로는 쿼리문 작성 부분이 되어야 함.)\n",
"self.dayplan = pd.read_csv(os.path.join(os.path.abspath('.'), 'sn_admin_tables', 'TC_IF_TOD_DAY_PLAN.csv'))\n",
"self.holyplan = pd.read_csv(os.path.join(os.path.abspath('.'), 'sn_admin_tables', 'TC_IF_TOD_HOLIDAY_PLAN.csv'))\n",
"self.red_yel = pd.read_csv(os.path.join(os.path.abspath('.'), 'sn_admin_tables', 'TC_IF_TOD_RED_YELLO.csv'))\n",
"self.weekplan = pd.read_csv(os.path.join(os.path.abspath('.'), 'sn_admin_tables', 'TC_IF_TOD_WEEK_PLAN.csv'))\n",
"# 교차로정보 테이블은 불러오지 않음 (해당 테이블이 실질적으로 쓰이지는 않고, 60개 테이블 정보가 있지도 않음)\n",
"# inter_info=pd.read_csv(os.path.join(os.path.abspath('.'), 'sn_admin_tables', 'TM_FA_CRSRD.csv'))\n",
"self.flows = pd.read_csv(os.path.join(os.path.abspath('.'), 'sn_admin_tables', 'TN_IF_SIGL_FLOW.csv'))\n",
"\n",
"# 유효한 교차로들에 대하여만 슬라이싱\n",
"self.dayplan = self.dayplan[self.dayplan.CRSRD_ID.isin(self.inter_nos)]\n",
"self.weekplan= self.weekplan[self.weekplan.CRSRD_ID.isin(self.inter_nos)]\n",
"self.red_yel = self.red_yel[self.red_yel.CRSRD_ID.isin(self.inter_nos)]\n",
"self.flows = self.flows[self.flows.CRSRD_ID.isin(self.inter_nos)]\n",
"\n",
"# 컬럼명 변경 적용\n",
"rename_cname_1 = {'CRSRD_ID':'inter_no', 'CYCL':'cycle', 'DAY':'DD',\n",
" 'HOUR':'hh', 'MIN':'mm', 'MNTH':'MM',\n",
" 'OFFSET':'offset', 'PHASE':'phase_no', 'PLAN_NO':'plan_no',\n",
" 'RINGA_RED_SEC':'red_A', 'RINGA_YELLO_SEC':'yel_A', 'RINGB_RED_SEC':'red_B',\n",
" 'RINGB_YELLO_SEC':'yel_B'}\n",
"\n",
"rename_cname_2 = {f'RING{alph}_PHASE{i}':f'dura_{alph}{i}' for alph in ['A', 'B'] for i in range(1,9)}\n",
"rename_cname = {**rename_cname_1, **rename_cname_2}\n",
"self.dayplan = self.dayplan.rename(columns=rename_cname)\n",
"self.holyplan = self.holyplan.rename(columns=rename_cname)\n",
"self.weekplan = self.weekplan.rename(columns=rename_cname)\n",
"self.red_yel = self.red_yel.rename(columns=rename_cname)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"## self.plan : 신호계획 테이블 생성\n",
"\n",
"# 날짜, 요일 지정\n",
"MM, DD = self.nowTime.month, self.nowTime.day # 날짜\n",
"dow_number = self.nowTime.weekday() # 요일\n",
"hplan = self.holyplan[(self.holyplan.MM==MM) & (self.holyplan.DD==DD)]\n",
"dows = [dow for dow in self.weekplan.columns if dow.endswith('PLAN_NO')]\n",
"dows = dows[1:] + dows[0:1]\n",
"dow = dows[dow_number]\n",
"\n",
"# (신호교차로, 신호계획번호) 목록\n",
"if len(hplan):\n",
" inter_pnos = list(zip(hplan['inter_no'], hplan['plan_no']))\n",
"else:\n",
" inter_pnos = list(zip(self.weekplan.inter_no, self.weekplan[dow]))\n",
"\n",
"# 신호테이블 통합\n",
"self.plan = self.dayplan.copy()\n",
"self.plan['inter_pno'] = list(zip(self.plan['inter_no'], self.plan['plan_no']))\n",
"self.plan = self.plan[(self.plan.inter_pno.isin(inter_pnos))]\n",
"self.plan = self.plan.drop(columns='inter_pno')\n",
"max_phase_no = int(self.red_yel.phase_no.max())\n",
"for j in range(1,max_phase_no+1):\n",
" RY = self.red_yel[self.red_yel.phase_no==j].iloc[0]\n",
" red_A = RY.red_A\n",
" red_B = RY.red_B\n",
" yel_A = RY.yel_A\n",
" yel_B = RY.yel_B\n",
" self.plan[f'red_A{j}'] = red_A\n",
" self.plan[f'red_B{j}'] = red_B\n",
" self.plan[f'yellow_A{j}'] = yel_A\n",
" self.plan[f'yellow_B{j}'] = yel_B"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>move_no</th>\n",
" <th>STOS_NO</th>\n",
" <th>angle_code</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>436</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>262358</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>436</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>262074</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>436</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>0</td>\n",
" <td>174355</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>436</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>172263</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>436</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>356074</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>354</th>\n",
" <td>639</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>120312</td>\n",
" </tr>\n",
" <tr>\n",
" <th>355</th>\n",
" <td>639</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>126221</td>\n",
" </tr>\n",
" <tr>\n",
" <th>356</th>\n",
" <td>640</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>0</td>\n",
" <td>226052</td>\n",
" </tr>\n",
" <tr>\n",
" <th>357</th>\n",
" <td>640</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>043222</td>\n",
" </tr>\n",
" <tr>\n",
" <th>358</th>\n",
" <td>640</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>None</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>359 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no STOS_NO angle_code\n",
"0 436 1 A 5 0 262358\n",
"1 436 1 B 2 0 262074\n",
"2 436 2 A 8 0 174355\n",
"3 436 2 B 3 0 172263\n",
"4 436 3 A 7 0 356074\n",
".. ... ... ... ... ... ...\n",
"354 639 4 A 6 0 120312\n",
"355 639 4 B 1 0 126221\n",
"356 640 1 A 8 0 226052\n",
"357 640 1 B 4 0 043222\n",
"358 640 2 A 17 0 None\n",
"\n",
"[359 rows x 6 columns]"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## self.angle : 각도(이동류방향) 테이블 생성\n",
"self.angle = self.flows.copy()\n",
"self.angle = self.angle.rename(columns={'CRSRD_ID':'inter_no', 'PHASE':'phase_no',\n",
" 'RING':'ring_type', 'FLOW_NO':'move_no'})\n",
"# 유효한 이동류번호 및 교차로번호로 슬라이싱\n",
"self.angle = self.angle[self.angle.move_no.isin(range(1,19))]\n",
"self.angle = self.angle[self.angle.inter_no.isin(self.inter_nos)]\n",
"# 세 점 데이터 파싱 및 각도코드 열 생성\n",
"for ind, row in self.angle.iterrows():\n",
" arrow = row.SIGL_ARROW\n",
" # 위경도 추출\n",
" # arrow = re.findall(r'-?\\d+\\.?\\d*', arrow)\n",
" arrow = [coord.lstrip(' ') for coord in arrow.split(',')]\n",
" arrow = [coord.lstrip('[') for coord in arrow]\n",
" arrow = [coord.rstrip(']') for coord in arrow]\n",
" exists = all([bool(coord) for coord in arrow])\n",
" if exists:\n",
" y1, x1, y2, x2, y3, x3 = arrow\n",
"\n",
" # 미터 단위로 변환\n",
" x1, y1 = self.net.convertLonLat2XY(x1, y1)\n",
" x2, y2 = self.net.convertLonLat2XY(x2, y2)\n",
" x3, y3 = self.net.convertLonLat2XY(x3, y3)\n",
"\n",
" # 진입각, 진출각 설정\n",
" inc_angle = np.arctan2(y1 - y2, x1 - x2)\n",
" out_angle = np.arctan2(y3 - y2, x3 - x2)\n",
" inc_angle = inc_angle * 180 / np.pi\n",
" out_angle = out_angle * 180 / np.pi\n",
" inc_angle = int((90 - inc_angle) % 360)\n",
" out_angle = int((90 - out_angle) % 360)\n",
"\n",
" # 각도코드 설정\n",
" angle_code = str(inc_angle).zfill(3) + str(out_angle).zfill(3)\n",
" self.angle.loc[ind, 'angle_code'] = angle_code\n",
" else:\n",
" self.angle.loc[ind, 'angle_code'] = None\n",
"self.angle = self.angle.drop(columns='SIGL_ARROW')\n",
"self.angle = self.angle.reset_index(drop=True)\\\n",
" .sort_values(by=['inter_no', 'phase_no', 'ring_type']).reset_index(drop=True)\n",
"self.angle"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
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" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>move_no</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>436</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
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" <tr>\n",
" <th>1</th>\n",
" <td>436</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>436</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>436</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>436</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>367</th>\n",
" <td>576</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>368</th>\n",
" <td>582</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>369</th>\n",
" <td>632</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>370</th>\n",
" <td>634</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>371</th>\n",
" <td>640</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>372 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no\n",
"0 436 1 A 5\n",
"1 436 1 B 2\n",
"2 436 2 A 8\n",
"3 436 2 B 3\n",
"4 436 3 A 7\n",
".. ... ... ... ...\n",
"367 576 2 B 17\n",
"368 582 2 B 17\n",
"369 632 2 B 17\n",
"370 634 4 B 5\n",
"371 640 2 B 17\n",
"\n",
"[372 rows x 4 columns]"
]
},
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{
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>move_no</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>436</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>436</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>436</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>436</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>436</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>367</th>\n",
" <td>576</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>368</th>\n",
" <td>582</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>369</th>\n",
" <td>632</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>370</th>\n",
" <td>634</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>371</th>\n",
" <td>640</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>17</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>372 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no\n",
"0 436 1 A 5\n",
"1 436 1 B 2\n",
"2 436 2 A 8\n",
"3 436 2 B 3\n",
"4 436 3 A 7\n",
".. ... ... ... ...\n",
"367 576 2 B 17\n",
"368 582 2 B 17\n",
"369 632 2 B 17\n",
"370 634 4 B 5\n",
"371 640 2 B 17\n",
"\n",
"[372 rows x 4 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"## self.match1 테이블 생성\n",
"match1 = self.flows.copy()\n",
"match1 = match1[['CRSRD_ID', 'PHASE', 'RING', 'FLOW_NO']]\n",
"match1 = match1.rename(columns={'CRSRD_ID':'inter_no', 'PHASE':'phase_no', 'RING':'ring_type', 'FLOW_NO':'move_no'})\n",
"match1 = match1.sort_values(by=['inter_no', 'phase_no', 'ring_type']).reset_index(drop=True)\n",
"# 유효한 이동류번호 및 교차로번호로 슬라이싱\n",
"match1 = match1[match1.move_no.isin(range(1,19))]\n",
"match1 = match1[match1.inter_no.isin(self.inter_nos)]\n",
"# 특정한 (교차로번호, 현시번호)에 대하여 한 링에 대해서만 이동류번호만 정의된 경우, 나머지 링에 대해서 이동류 정의\n",
"additional_m1s = []\n",
"for key, group in match1.groupby(['inter_no', 'phase_no']):\n",
" inter_no, phase_no = map(int,key)\n",
" if set(group.ring_type) != {'A', 'B'}:\n",
" assert len(group)==1\n",
" ring_type = group.iloc[0].ring_type\n",
" RING_TYPE = list({'A', 'B'} - set(ring_type))[0]\n",
" additional_m1 = group.copy()\n",
" additional_m1['ring_type'] = RING_TYPE\n",
" additional_m1s.append(additional_m1)\n",
"match1 = pd.concat([match1] + additional_m1s)\n",
"match1 = match1.reset_index(drop=True)\n",
"display(match1)\n",
"# 열 재편 : 현시시간과 이동류번호 열을 A, B로 구분\n",
"match1s = []\n",
"for key, group in match1.copy().groupby(['inter_no', 'phase_no']):\n",
" inter_no, phase_no = map(int, key)\n",
" assert len(group) == 2\n",
" row_A = group[group.ring_type=='A']\n",
" row_B = group[group.ring_type=='B']\n",
" assert len(row_A)==len(row_B)==1\n",
" row_A = row_A.iloc[0]\n",
" row_B = row_B.iloc[0]\n",
" m1 = pd.DataFrame({'inter_no':[inter_no], 'phas_A':[phase_no], 'phas_B':[phase_no],\n",
" 'move_A':[row_A.move_no], 'move_B':[row_B.move_no]})\n",
" match1s.append(m1)\n",
"display(match1)\n",
"self.match1 = pd.concat(match1s).reset_index(drop=True)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['make_intermediates.ipynb',\n",
" 'new_sungnam_network_internal_0809.net.xml',\n",
" 'new_sungnam_network_internal_0811.net.xml',\n",
" 'new_sungnam_network_internal_target_0811.net.xml',\n",
" 'nodes.json',\n",
" 'signal_node_matching.xlsx',\n",
" 'signal_node_matching_0809.xlsx',\n",
" 'sn_admin_tables',\n",
" 'turn_type_info.csv',\n",
" 'uturn_data_info.csv',\n",
" '교차로기반정보_(시범지역).xlsx']"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.listdir()"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>child_id</th>\n",
" <th>condition</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>109187</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>109188</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>109189</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>109192</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>109193</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>109595</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>107169</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>108093</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>108098</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>108102</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>108099</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>108106</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>107717</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>110754</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>109205</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>107270</td>\n",
" <td>좌회전시</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" child_id condition\n",
"0 109187 좌회전시\n",
"1 109188 좌회전시\n",
"2 109189 좌회전시\n",
"3 109192 좌회전시\n",
"4 109193 좌회전시\n",
"5 109595 좌회전시\n",
"6 107169 좌회전시\n",
"7 108093 좌회전시\n",
"8 108098 좌회전시\n",
"9 108102 좌회전시\n",
"10 108099 좌회전시\n",
"11 108106 좌회전시\n",
"12 107717 좌회전시\n",
"13 110754 좌회전시\n",
"14 109205 좌회전시\n",
"15 107270 좌회전시"
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"self.uturn = pd.read_csv('uturn_data_info.csv')\n",
"self.u_condition = self.uturn.copy()[['child_id']]\n",
"self.u_condition['condition'] = '좌회전시'\n",
"self.u_condition"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"# # self.coord : 연등교차로 테이블 생성\n",
"# self.coord = pd.DataFrame(columns=['parent_id', 'child_id', 'phase_no', 'ring_type', 'inc_edge_id', 'out_edge_id'])"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"# dfs = {'dayplan':dayplan, 'red_yel':red_yel, 'weekplan':weekplan, 'flows':flows}\n",
"# for df_name, df in dfs.items():\n",
"# print(df_name)\n",
"# assert set(df.CRSRD_ID).issubset(inter_nos)\n",
"# inter_no_coincide = inter_nos == set(df.CRSRD_ID)\n",
"# if not inter_no_coincide:\n",
"# print(f\" inter_no's doesn't conicide.\")\n",
"# print(f\" missing inter_no's : {inter_nos - set(df.CRSRD_ID)}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# venn3([set(dayplan.CRSRD_ID), set(red_yel.CRSRD_ID), set(weekplan.CRSRD_ID)], ('dayplan', 'redyel', 'weekplan'))\n",
"# plt.show()\n",
"# print(f'일간계획 테이블의 교차로 개수 : {len(set(dayplan.CRSRD_ID))}')\n",
"# print(f'황색적색 테이블의 교차로 개수 : {len(set(red_yel.CRSRD_ID))}')\n",
"# print(f'주간계획 테이블의 교차로 개수 : {len(set(weekplan.CRSRD_ID))}')\n",
"# CRSRD_IDs_plan = set(dayplan.CRSRD_ID) & set(red_yel.CRSRD_ID) & set(weekplan.CRSRD_ID)\n",
"# print(f'겹치는 교차로 개수 : {len(CRSRD_IDs_plan)}')\n",
"# print(f'겹치는 교차로 목록 : {sorted(CRSRD_IDs_plan)}')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "siggen_env",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}