diff --git a/Analysis/0202_config_/config.json b/Analysis/0202_config_/config.json index bfa332081..669530174 100644 --- a/Analysis/0202_config_/config.json +++ b/Analysis/0202_config_/config.json @@ -1 +1 @@ -{"user": "example_user", "password": "example_password", "host": "example_host", "database": "example_database"} \ No newline at end of file +{"user": "example_user", "password": "example_password", "host": "example_host", "database": "example_database"} diff --git a/Archives/Scripts/fetch_tables_1.py b/Archives/Scripts/fetch_tables_1.py new file mode 100644 index 000000000..30d3495b7 --- /dev/null +++ b/Archives/Scripts/fetch_tables_1.py @@ -0,0 +1,40 @@ +# (siggen) PS C:\Github\siggen> python .\Scripts\fetch_tables.py +import pyodbc +import os, json, csv +from tqdm import tqdm +from datetime import datetime + +starting_time = datetime.now() + +credentials_path = os.path.join(os.getcwd(), 'Scripts', 'credentials.json') +with open(credentials_path, 'r') as file: + credentials = json.load(file) + +DSNNAME = credentials["DSNNAME"] +DBUSER = credentials["DBUSER"] +DBPWD = credentials["DBPWD"] + +# 데이터베이스 연결 +cnxn = pyodbc.connect(f'DSN={DSNNAME};UID={DBUSER};PWD={DBPWD};charset=utf-8') +cursor = cnxn.cursor() + +schema = 'snits_siggen' +tables = ['inter_info', 'plan'] + +base_dir = os.path.join(os.getcwd(), 'Data', 'fetched_tables') + +for table in tables: + # 테이블 데이터 다운로드 + cursor.execute(f"SELECT * FROM {schema}.{table}") + + csv_file_path = os.path.join(base_dir, f"{table}.csv") + with open(csv_file_path, 'w', newline='', encoding='utf-8-sig') as csvfile: + csv_writer = csv.writer(csvfile) + columns = [column[0] for column in cursor.description] + csv_writer.writerow(columns) + for row in cursor.fetchall(): + csv_writer.writerow(row) + + cnxn.close() + +print("elapsed time :", datetime.now() - starting_time) \ No newline at end of file diff --git a/Archives/Scripts/preprocess_daily.ipynb b/Archives/Scripts/preprocess_daily.ipynb index 796421874..9afbe034c 100644 --- a/Archives/Scripts/preprocess_daily.ipynb +++ b/Archives/Scripts/preprocess_daily.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -14,6 +14,1002 @@ "from tqdm import tqdm" ] }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "loading_dtype = {\n", + " 'inter_no':'int', 'start_hour':'int', 'start_minute':'int', 'cycle':'int','offset':'int',\n", + " 'node_id':'str', 'inter_type':'str', 'parent_id':'str','child_id':'str',\n", + " 'direction':'str', 'condition':'str', 'inc_edge':'str', 'out_edge':'str',\n", + " 'end_unix':'int', 'inter_name':'str', 'inter_lat':'float', 'inter_lon':'float',\n", + " 'group_no':'int', 'main_phase_no':'int', 'phase_no':'int','ring_type':'str'\n", + " }\n", + "for alph in ['A', 'B']:\n", + " for j in range(1,9):\n", + " loading_dtype[f'angle_{alph}{j}'] = 'str'\n", + " loading_dtype[f'dura_{alph}{j}'] = 'int'\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['match1.csv', 'match6.csv', 'matching.csv', 'movement', 'node2num_cycles.json']\n" + ] + } + ], + "source": [ + "path_intermediates = '../../Intermediates'\n", + "files = os.listdir(path_intermediates)\n", + "print(files)\n", + "\n", + "match1 = pd.read_csv(os.path.join(path_intermediates, 'match1.csv'), index_col=0)\n", + "match6 = pd.read_csv(os.path.join(path_intermediates, 'match6.csv'), index_col=0)\n", + "matching = pd.read_csv(os.path.join(path_intermediates, 'matching.csv'), index_col=0)\n", + "nema = pd.read_csv(os.path.join('../../Data/tables', 'nema.csv'), encoding='cp949')\n", + "plan = pd.read_csv(os.path.join('../../Data/tables', 'plan.csv'), index_col=0)\n", + "angle = pd.read_csv(os.path.join('../../Data/tables', 'angle.csv'), index_col=0, dtype = loading_dtype)\n", + "inter_node = pd.read_csv(os.path.join('../../Data/tables', 'inter_node.csv'), index_col=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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9201i8parent
\n", + "
" + ], + "text/plain": [ + " inter_no node_id inter_type\n", + "9 201 i8 parent" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inter_no = 201\n", + "display(match1[match1.inter_no==inter_no])\n", + "display(match6[match6.inter_no==inter_no])\n", + "display(matching[matching.inter_no==inter_no])\n", + "display(nema)\n", + "display(plan[plan.inter_no==inter_no])\n", + "display(angle[angle.inter_no==inter_no])\n", + "display(inter_node[inter_node.inter_no==inter_no])" + ] + }, { "cell_type": "code", "execution_count": 2, diff --git a/Archives/Scripts/scheduler_example.py b/Archives/Scripts/scheduler_example.py new file mode 100644 index 000000000..5d7c279ad --- /dev/null +++ b/Archives/Scripts/scheduler_example.py @@ -0,0 +1,20 @@ +import sched +import time +from datetime import datetime + +# 스케줄러 객체 생성 +scheduler = sched.scheduler(time.time, time.sleep) + +def print_current_time(sc): + print("Current Time:", datetime.now().strftime("%Y-%m-%d %H:%M:%S")) + # 다음 실행을 위해 5초 후에 이 작업을 다시 예약 + sc.enter(5, 1, print_current_time, (sc,)) + +if __name__ == "__main__": + # 현재 초(second)를 기준으로 다음 5초 배수 시각까지의 지연 시간 계산 + now = datetime.now() + initial_delay = 5 - (now.second % 5) + # 초기 작업 예약 + scheduler.enter(initial_delay, 1, print_current_time, (scheduler,)) + # 스케줄러 실행 + scheduler.run() diff --git a/Data/tables/20240206_155342/S_INT_CONFIG.csv b/Data/tables/20240206_155342/S_INT_CONFIG.csv new file mode 100644 index 000000000..9b6b26fc0 --- /dev/null +++ b/Data/tables/20240206_155342/S_INT_CONFIG.csv @@ -0,0 +1,759 @@ +INT_NO,INT_NAME,SA_NO,INT_LAT,INT_LNG,IS_SMART +1,도촌4거리,1,37.41405,127.14385,1 +2,동원SK삼거리(아시아 주유소),1,37.41282,127.14382, +3,상탑4거리,0,37.40809,127.14296, +4,돌마4거리(상탑3거리),0,37.40683,127.14201,1 +5,상탑초3거리,0,37.40561,127.14473, +6,야탑3치안센터(상탑 P.B),0,37.40549,127.14823, +7,테크노 단일로,0,37.40486,127.15121, +8,분당테크노파크A동,0,37.40499,127.15034, +9,분당테크노파크C동(분당테크노파크),0,37.40545,127.15526, +10,야탑차량등록사업소,0,37.40682,127.1547, +11,야탑보듬이,0,37.40636,127.1522, +12,대원빌라4거리,0,37.40631,127.14852, +13,양촌어린이공원,0,37.40677,127.14667, +14,상탑초4거리,0,37.40711,127.14559, +15,중탑3거리,0,37.41473,127.13905, +16,중탑4거리,0,37.41307,127.13866, +17,야탑3동주민센터(야탑3동사무소),0,37.41064,127.13813, +18,목련4거리,0,37.40952,127.13801, +19,목련3거리,0,37.40777,127.13789, +20,목련마을단일로,0,37.40918,127.13983, +21,성남세관3거리,0,37.40858,127.14167, +22,매화마을주공310동(매화마을주공3단지),0,37.41447,127.14114, +23,매화마을4단지,0,37.41288,127.14243, +24,여수동입구4거리,0,37.41683,127.13394, +25,매화4거리,0,37.4134,127.1339, +26,분당성마르코성당(야탑성당),0,37.41085,127.13388, +27,송림4거리(구송림고4거리),0,37.40944,127.13386, +28,하탑3거리(하탑도서관),0,37.40737,127.13385, +29,도레미유치원,0,37.40971,127.13598, +30,매화마을3거리,0,37.41333,127.13637, +31,야탑소방서,0,37.41635,127.13569, +32,야탑4거리,0,37.41688,127.12879,1 +33,장미4거리,0,37.41384,127.12876, +34,야탑역 단일로,0,37.41214,127.12875, +35,야탑역4거리,0,37.40986,127.12873,1 +36,하탑4거리(하탑지하차도),0,37.40543,127.12868,1 +37,야탑중학교,0,37.41694,127.13121, +38,야탑시그마Ⅲ 3거리,0,37.41383,127.13048, +39,장미마을단일로,0,37.41376,127.1318, +40,돌마초교,0,37.40978,127.13081, +41,야탑 현대APT,0,37.40951,127.13261, +42,807의무경찰대(807전경대),0,37.40631,127.13138, +43,터미널3거리,0,37.41384,127.12608, +44,터미널4거리,0,37.41237,127.12605, +45,분당차여성병원4거리(경찰서4거리),0,37.41137,127.12604, +46,차병원3거리,0,37.40983,127.12603, +47,야탑지구대 사거리,0,37.40988,127.12711, +48,장미동부APT,0,37.41682,127.12715, +49,장미코오롱아파트(야탑초교),0,37.41678,127.12456, +50,사송교4거리,0,37.41385,127.12258, +51,대우정비사업소,0,37.41503,127.11949, +52,재활용센터,0,37.41426,127.12008, +53,사송교3거리,0,37.41309,127.1208, +54,탄천운동장 동문(운동장서문),0,37.41162,127.12176, +55,보건소3거리,0,37.41137,127.12402, +56,탄천운동장 남문,0,37.40872,127.12109, +57,탄천운동장4거리(탑4거리),0,37.40918,127.12302, +58,야탑교4거리,0,37.40957,127.12479, +59,늘사랑어린이집(탑마을 단일로),0,37.40711,127.1236, +60,하탑초교,0,37.40731,127.12543,0 +61,벌말4거리(보뜰4거리),0,37.40546,127.11914,1 +62,탑대우APT입구(장미대우아파트입구),0,37.40547,127.12066, +63,아름마을태영APT입구(탑대우APT),0,37.40546,127.12156, +64,아름4거리,0,37.40544,127.1236, +65,탑골4거리,0,37.40544,127.12545, +66,아름건영아파트,0,37.40369,127.12359, +67,꾸러기유치원,0,37.40369,127.12545, +68,매송초교,0,37.40111,127.12358, +69,이매중3거리,0,37.40098,127.12541, +70,이매풍림5단지,0,37.39784,127.12353, +71,방아다리4거리,0,37.39921,127.12358, +72,물방아4거리,0,37.39919,127.12539, +73,이매소방서,0,37.39918,127.1275,0 +74,물방아3거리,0,37.39919,127.1287,1 +75,성남아트센터(문화예술회관),0,37.39925,127.12925, +76,매송중학교,0,37.3969,127.12356, +77,이매초교,0,37.39678,127.12539, +78,이매교4거리,0,37.39473,127.12351, +79,안말4거리,0,37.39472,127.12537, +80,이매성지아파트,0,37.39472,127.12678,0 +81,이매역4거리(안말3거리),0,37.39471,127.12828,1 +82,안말초 단일로,0,37.39309,127.1251, +83,안말초교3거리,0,37.39233,127.12447, +84,이매코오롱APT,0,37.39146,127.12543, +85,이매동신아파트,0,37.39074,127.1262, +86,이매촌청구,0,37.39073,127.12676, +87,누엣길공원,0,37.39008,127.12533,0 +88,매송4거리,0,37.39143,127.12022,1 +89,LG분당에클라트(양현4거리),0,37.39011,127.12244, +90,분당제생병원3거리,0,37.38822,127.12076, +91,마사회3거리,0,37.38731,127.11993, +92,양현4거리(이매촌한신4R),0,37.38896,127.12377, +93,분당제생병원4거리,0,37.38731,127.12172, +94,롯데마트4거리,0,37.38659,127.12072, +95,한신아파트3거리(서현산업은행),0,37.38782,127.12507, +96,오일뱅크4거리,0,37.38736,127.12439, +97,분당우체국,0,37.38686,127.12371, +98,우리은행4거리,0,37.38629,127.12289, +99,하나은행4거리,0,37.38555,127.12186, +100,나우병원4거리,0,37.38446,127.12038, +101,서현농협3거리,0,37.38355,127.12139,0 +102,서현교4거리,0,37.38677,127.11658, +103,분당소방서3거리(서현소방서3거리),0,37.38539,127.11812, +104,분당구청4거리,0,37.38399,127.11973, +105,분당구청 단일로,0,37.38309,127.12072, +106,서현4거리,0,37.38222,127.12171, +107,이매4거리,0,37.38621,127.12685,1 +108,수내4거리,0,37.38402,127.11402,1 +109,수내교4거리(조선내화4거리),0,37.38174,127.11658,1 +110,경동빌딩(분당구청 단일로),0,37.38083,127.11758,0 +111,분당4거리,0,37.37998,127.11857,1 +112,서현먹자골목 입구,0,37.38386,127.13056, +113,서현도서관3거리(먹자골SK주유소),0,37.38372,127.13337, +114,남해수산3거리,0,37.38334,127.13591, +115,새마을4거리,0,37.38313,127.13834, +116,서현포스파크,0,37.38315,127.13968, +117,은수사3거리,0,37.38327,127.1433, +118,새마을연수원사거리(수도병원입구),0,37.38376,127.15048, +119,안골입구4거리,0,37.38285,127.1322, +120,서현시범단지우성APT,0,37.38178,127.13072, +121,올림픽스포츠센터,0,37.38038,127.12873, +122,서현시범단지한양APT,0,37.37947,127.12753, +123,서현3거리,0,37.3784,127.12595, +124,서현중학교 단일로,0,37.38128,127.13396, +125,분당어린이공원,0,37.37856,127.13123,0 +126,서당4거리,0,37.37942,127.13604,1 +127,돌마지하차도,0,37.37744,127.13323,0 +128,효자촌4거리,0,37.37539,127.1304,1 +129,당촌초교,0,37.37361,127.13238,0 +130,서당3거리(서당동입구),0,37.37629,127.13959,1 +131,동남프라자,0,37.37399,127.1364, +132,서당삼환APT,0,37.3731,127.13517,0 +133,장안4거리,0,37.37223,127.13395,1 +134,장안동3거리,0,37.37156,127.13301, +135,장안동입구4거리,0,37.37455,127.14238, +136,장안교3거리(장안동 중앙유치원),0,37.37287,127.14158, +137,장안동건영113동,0,37.37214,127.14073, +138,대진고 후문,0,37.37014,127.13793, +139,대진고4거리,0,37.3695,127.13703, +140,장안초등학교,0,37.37166,127.14392,0 +141,장안중3거리,0,37.37213,127.1472,1 +142,장안타운건영107동,0,37.37096,127.14467, +143,장안타운123동,0,37.37039,127.14388, +144,태현공원4거리,0,37.36941,127.14249, +145,장안로삼거리(신동아빌라),0,37.36777,127.14023, +146,장안건영빌라 단일로,0,37.371,127.14761,0 +147,요한성당3거리,0,37.36886,127.14863,1 +148,지역난방공사,0,37.36759,127.14583, +149,지역난방 삼거리,0,37.36794,127.14639, +150,새롬교회(광림교회),0,37.36639,127.14208, +151,현대오피스빌딩(APUS 3거리),0,37.38017,127.11438, +152,휴맥스빌리지(롯데백화점),0,37.37856,127.11217,0 +153,초림3거리,0,37.37539,127.12181,1 +154,수내동 우리은행,0,37.37404,127.11996, +155,롯데파크타운,0,37.37351,127.1192, +156,내정4거리,0,37.37165,127.11659, +157,내정어린이공원,0,37.37217,127.12208,0 +158,샛별4거리,0,37.37198,127.12565,1 +159,수내지하차도,0,37.37019,127.12313,0 +160,푸른마을4거리,0,37.3685,127.12083,1 +161,정자한일아파트,0,37.36778,127.12169, +162,수내중 단일로,0,37.37046,127.12731, +163,샛별3거리,0,37.36914,127.12879, +164,한방병원 단일로,0,37.36781,127.12787, +165,한방병원4거리,0,37.3671,127.12727, +166,수내파출소(수내 P.B),0,37.36637,127.12627, +167,푸른마을삼거리(연정교회3거리),0,37.36515,127.12458, +168,한솔청구아파트,0,37.36438,127.12367, +169,불정3거리,0,37.36347,127.12316, +170,정든마을우성616동(우성116동),0,37.36235,127.12311, +171,정자동아2차,0,37.36101,127.1231, +172,분당중앙고 삼거리,0,37.36013,127.12301, +173,분당중앙고,0,37.35944,127.12231, +174,정자동아아파트,0,37.35923,127.12034, +175,한솔삼거리(한솔마을3거리),0,37.36857,127.11478, +176,느티마을4단지,0,37.36724,127.1148, +177,한솔6단지(정자동사무소),0,37.36619,127.1148, +178,신기4거리,0,37.36346,127.1148, +179,한솔마을5단지(한솔마을단일로),0,37.36348,127.11725, +180,정든마을4거리,0,37.36348,127.11906, +181,불정4거리,0,37.35921,127.11908,1 +182,탄천초교,0,37.3617,127.11482, +183,계원삼거리(한국통신4거리),0,37.35995,127.11483, +184,잡월드 사거리,0,37.3784,127.10897,1 +185,백현교4거리,0,37.37719,127.11034, +186,삼성로얄팰리스(판테온정문),0,37.37633,127.11132, +187,정자4거리,0,37.37545,127.11227,1 +188,백궁교(판테온후문),0,37.37525,127.10981, +189,백궁4거리,0,37.37368,127.10981, +190,백현환기소3거리,0,37.37245,127.10422,1 +191,늘푸른고등학교 교차로(백궁주유소4),0,37.37244,127.10593, +192,백궁3거리,0,37.37243,127.10828,1 +193,상록마을아이파크분당1(백궁현대 ),0,37.37095,127.10592, +194,아이파크분당3단지,0,37.36939,127.10593, +195,마테오성당(백현중학교),0,37.37181,127.10983, +196,백현중학교 삼거리,0,37.37047,127.10982, +197,백현초등학교,0,37.37193,127.11223, +198,백현어린이공원,0,37.37132,127.11183, +199,젤존타워Ⅰ(백궁우체국4거리),0,37.36853,127.10593, +200,궁내4거리,0,37.36852,127.10808,1 +201,느티마을4거리,0,37.36854,127.10984,0 +202,느티마을 안촌유치원,0,37.36855,127.11241, +203,아름방송4거리,0,37.36666,127.10594, +204,정자역 단일로,0,37.36614,127.1081, +205,분당경찰서4거리(벤체타운4거리),0,37.36563,127.10595, +206,상록마을 321동,0,37.36483,127.10981, +207,정자지하차도3거리(정자환기소3거리),0,37.36347,127.10461,1 +208,정자1동주민센터(연강병원4거리),0,37.36345,127.10596,0 +209,금곡교4거리,0,37.36344,127.10811,1 +210,상록4거리(상록마을입구4거리),0,37.36347,127.10982,0 +211,상록마을단일로,0,37.36346,127.11237, +212,상록마을302동 단일로,0,37.36347,127.11306, +213,정자대림아크로텔 단일로,0,37.36232,127.10709, +214,금곡주유소3거리,0,37.3599,127.10424, +215,정자일로1사거리(청솔공업사 4거리),0,37.35991,127.10599, +216,불정교4거리,0,37.3599,127.10812,1 +217,불정교3거리(주택전시관4거리),0,37.35994,127.10986,0 +218,순복음교회앞,0,37.35995,127.11176, +219,늘푸른초등학교,0,37.35788,127.106, +220,정자일로2사거리(보성APT 4거리),0,37.35664,127.10601,0 +221,임광보성아파트(금곡보성아파트),0,37.35665,127.1072, +222,금곡4거리,0,37.35666,127.10849, +223,분당경영고(분당 정보산업고),0,37.35662,127.11017, +224,청솔주공5단지,0,37.35565,127.11268, +225,청솔초교,0,37.35451,127.11472, +226,한국가스공사,0,37.35468,127.1184, +227,돌마교4거리,0,37.3532,127.11711, +228,우방우성102동,0,37.35253,127.11838, +229,파랑새공원단일로,0,37.35495,127.106,0 +230,청솔유천화인아파트 정문(한전기공),0,37.35433,127.106,0 +231,정자일로3사거리(YMCA4거리),0,37.35342,127.10601, +232,청솔마을4거리,0,37.35344,127.10888, +233,청솔종합사회복지관(청솔마을 단일로),0,37.35333,127.11091, +234,이솔유치원(청솔마을 8-9단지),0,37.3527,127.11227, +235,코오롱 트리폴리스,0,37.35138,127.10627, +236,금곡교차로(금곡I/C 3거리),0,37.35007,127.10432,1 +237,머내공원4거리(아울렛4거리),0,37.35002,127.10638, +238,미금역4거리,0,37.35004,127.1089,1 +239,까치마을신원아파트308동(골드프라자),0,37.35003,127.11202, +240,까치마을4거리,0,37.35102,127.11523, +241,까치마을 단일로,0,37.34928,127.11608, +242,꿈터유치원,0,37.34757,127.11202, +243,미금4거리,0,37.34584,127.10891, +244,하얀마을6단지,0,37.34602,127.11345, +245,하얀마을4거리,0,37.34652,127.11608, +246,안디옥감리교회,0,37.34651,127.11836, +247,하얀마을3거리,0,37.34648,127.12008, +248,오리초교 단일로,0,37.34472,127.1161, +249,동막교삼거리,0,37.34359,127.10891, +250,시그마3거리,0,37.34265,127.10451, +251,시그마Ⅱ 4거리,0,37.34265,127.10591, +252,동막교4거리,0,37.34262,127.10891,1 +253,LH오리사옥 정문3거리,0,37.34249,127.11001,0 +254,구미교4거리,0,37.34219,127.11609, +255,구미그랜드빌라,0,37.34352,127.11909, +256,성남우편집중국3거리,0,37.34073,127.10895, +257,LH오리사옥 후문(주공후문3거리),0,37.34072,127.10963, +258,LH스포츠센터(주택문화관),0,37.34072,127.11029, +259,오리공원3거리(구미동 YMCA),0,37.34074,127.11169, +260,까르프3거리,0,37.33968,127.10448, +261,NH주유소4거리(하나로후문4거리),0,37.3397,127.10594, +262,오리홈플러스4거리(까르프4거리),0,37.33969,127.10739, +263,오리역3거리,0,37.33971,127.10895, +264,벽산3거리,0,37.33842,127.10472, +265,하나로마트 정문,0,37.33733,127.10673, +266,농수산물센터4거리(벽산사거리),0,37.33599,127.10895,1 +267,온세통신3거리,0,37.33589,127.11174, +268,무지개 LG아파트,0,37.33644,127.11366, +269,오리3거리,0,37.3381,127.10895,1 +270,성우스타우스(오리먹자골입구),0,37.33809,127.11029, +271,오리1교 4거리(오리교 4거리),0,37.33811,127.11175, +272,오리2교 4거리(오리교 4거리),0,37.33811,127.11311, +273,미금교3거리,0,37.35053,127.12005, +274,서울대병원 단일로,0,37.35063,127.12208, +275,서울대병원 입구,0,37.35019,127.12331, +276,장애인고용공단,0,37.3484,127.12391, +277,서울시니어스타워(서울대병원 주차장),0,37.34732,127.12413, +278,구미중학교(구미중 단일로),0,37.34501,127.12462,0 +279,구미4거리,0,37.34343,127.12601, +280,구미제일아파트,0,37.34272,127.12476,0 +281,구미라이프APT,0,37.34156,127.12347, +282,구미동사무소,0,37.33974,127.12167, +283,구미파출소3거리(구미 P.B),0,37.33909,127.12073, +284,구미초교3거리,0,37.33817,127.11905, +285,구미초정문,0,37.33753,127.11905, +286,구미초교 단일로,0,37.33811,127.1176, +287,구미공원4거리,0,37.34041,127.11612, +288,구미주공4단지,0,37.33923,127.11615, +289,무지개4거리,0,37.33813,127.11614,1 +290,구미대림APT,0,37.33659,127.11673, +291,구미동대림APT4거리,0,37.33576,127.11771, +292,무지개12단지(주공 두산아파트),0,37.33496,127.11816, +293,미금로3거리,0,37.33406,127.11809, +294,대림아파트 후문,0,37.33455,127.11598, +295,불곡초교 단일로,0,37.34037,127.11866,0 +296,금곡I/C분당진입,0,37.35421,127.10072,0 +297,운중교차로 사거리,0,37.39116,127.06308, +298,상상운 삼거리,0,37.39144,127.06527, +299,운중초교 사거리,0,37.39144,127.06801, +300,중산운 사거리,0,37.39173,127.07583, +301,운중동 주민센타,0,37.3916,127.07834, +302,산운 사거리,0,37.39138,127.08157, +303,하산운 사거리,0,37.39056,127.08547,1 +304,판교 도서관 사거리,0,37.38949,127.09017, +305,도서관 삼거리,0,37.38873,127.0939, +306,원마을 8단지 사거리(점멸),0,37.38686,127.09744, +307,광암사거리,0,37.38826,127.09753, +308,낙생농협 4거리,0,37.38963,127.09763, +309,원마을 9단지 사거리,0,37.39073,127.09772, +310,꿈꾸는교회 삼거리,0,37.39273,127.09827, +311,원마을 10단지 3거리,0,37.3934,127.09824, +312,낙생초 삼거리,0,37.39472,127.09817, +313,불꽃교회 삼거리,0,37.39637,127.098, +314,낙원중 삼거리,0,37.39846,127.09672, +315,원마을 11단지 삼거리,0,37.39917,127.0953, +316,성내미 사거리,0,37.3999,127.09474,1 +317,원마을 12단지 사거리(점멸),0,37.4006,127.09417, +318,원마을 13단지 삼거리(소등),0,37.40271,127.0925, +319,영운정사 입구 삼거리,0,37.3989,127.09277, +320,판교로 2사거리,0,37.38881,127.08485, +321,하산운 삼거리,0,37.38703,127.08421, +322,산운길3 삼거리,0,37.39319,127.07594, +323,산운마을 10단지 삼거리,0,37.39073,127.07574, +324,판교원2 사거리,0,37.3893,127.07557, +325,두밀 사거리(국은교),0,37.38793,127.07504, +326,산운마을 13단지 1,0,37.3869,127.07461, +327,산운마을 13단지 2,0,37.38568,127.07424, +328,산운마을 14단지,0,37.3842,127.07427, +329,연구원 사거리(점멸),0,37.39221,127.06352, +330,월든힐스 2단지(점멸),0,37.3928,127.06516, +331,월든힐스 3단지(점멸),0,37.39263,127.06711, +332,운중초교 정문 삼거리,0,37.39221,127.0681, +333,산운마을 4단지 단일로(점멸),0,37.39074,127.06788, +334,운중초교 후문 삼거리,0,37.39299,127.06917, +335,서판교ic 사거리,0,37.38837,127.07002,1 +336,원마을 3단지 북문(점멸),0,37.3886,127.08579, +337,원마을 3단지 서문(점멸),0,37.38769,127.08689, +338,판교중 사거리(점멸),0,37.38672,127.08653, +339,판교 도서관앞(점멸),0,37.39142,127.09085, +340,도서관 주택가 사거리(점멸),0,37.39056,127.09054, +341,판교어린이집 3거리(점멸),0,37.38635,127.08803, +342,원마을 5단지 사거리,0,37.38776,127.08956, +343,판교초교 삼거리,0,37.38636,127.08909, +344,원마을 7단지 단일로(점멸),0,37.3863,127.09315, +345,낙원중 입구(점멸),0,37.39764,127.0954,0 +346,산운초 단일로,0,37.389,127.07848, +347,신미주 1단지 4거리,0,37.40675,127.11545, +348,삼평동사무소,0,37.40583,127.11546, +349,송현초 단일로,0,37.40525,127.11554, +350,송현초 4거리(사송사거리),0,37.40432,127.11617, +351,산운교회 4거리,0,37.40266,127.11685, +352,봇들마을 6단지,0,37.40137,127.11686, +353,삼평중 삼거리,0,37.39985,127.11683,1 +354,구숯내교삼거리,0,37.39834,127.11682, +355,보평초 4거리,0,37.39622,127.11682, +806,대원 사거리,30,37.43346,127.1597, +808,청소년수련관 사거리,30,37.43054,127.15405, +809,아튼빌정문 사거리,30,37.42996,127.1517, +810,아튼빌후문 삼거리,30,37.42935,127.14925, +356,보평초정문 단일로,0,37.39589,127.11843, +357,보평중.고 사거리,0,37.39333,127.11682, +358,동판교로사거리(세계로사거리),0,37.39189,127.11682, +359,백현마을 3.4단지 입구,0,37.39057,127.11681, +360,화랑초교 단일로,0,37.38885,127.11634, +361,재넘어 삼거리,0,37.38819,127.11538, +362,백현동 주택단지 사거리,0,37.38795,127.11442, +363,봇들 사거리,0,37.40323,127.11291,1 +364,삼평 사거리(소방서),0,37.39985,127.11296, +365,봇들교 사거리,0,37.39832,127.11296, +366,판교역 사거리,0,37.39622,127.11294,1 +367,광장로사거리(백현마을 1단지),0,37.39376,127.11294, +368,느티나무사거리(광장로사거리),0,37.39174,127.11294,1 +369,백현 사거리(신백현초),0,37.38794,127.11293, +370,판교테크노13사거리(점멸),0,37.40397,127.10968, +371,판교테크노14사거리(테크윈),0,37.40323,127.10969, +372,SK캐미컬 사거리,0,37.40243,127.10967, +373,안철수연구소 사거리,0,37.40094,127.10967, +374,판교테크노3사거리(안철수),0,37.39984,127.10967,1 +375,동안교 삼거리,0,37.39775,127.10968, +376,동안 사거리,0,37.39623,127.10968, +377,환승주차장 삼거리,0,37.39375,127.10968, +378,낙생지하차도 삼거리,0,37.38968,127.1089, +379,낙생대공원 삼거리,0,37.38795,127.10843, +380,휴먼시아8단지 삼거리,0,37.38733,127.10842, +381,흰돌교회 단일로 1,0,37.38693,127.10842, +382,흰돌교회 단일로 2(점멸),0,37.38612,127.10841, +383,휴먼시아9단지 사거리,0,37.38525,127.1084, +384,백현야구장 삼거리(점멸),0,37.38375,127.11074, +385,동안삼거리(한신교회),0,37.39833,127.11405, +386,롯데마트사거리(봇들마을8단지),0,37.39621,127.11404, +387,안철수연구소 삼거리(점멸),0,37.40095,127.11176, +388,판교역 1번출구 단일로,0,37.39622,127.11127, +389,판교역 3번출구 단일로,0,37.39373,127.11118, +390,백현동사무소,0,37.38793,127.11111, +391,신백현초 정문 단일로(점멸),0,37.38735,127.11132, +392,만도연구소(점멸),0,37.40517,127.10033, +393,포스코삼거리,0,37.40403,127.10221, +394,포스코단일로,0,37.40341,127.10253, +395,넥슨코리아(점멸),0,37.40237,127.10255, +396,NS홈쇼핑(점멸),0,37.40093,127.10255, +397,생태학습관 삼거리(점멸),0,37.39986,127.10372, +398,중앙일보(점멸),0,37.39985,127.10256, +399,우림사거리(점멸),0,37.40373,127.09902, +400,모다아울렛(점멸),0,37.40171,127.10018, +401,마이다스(점멸),0,37.40086,127.10079, +402,송암시스템(점멸),0,37.39984,127.10123, +403,판교테크노중앙사거리,0,37.40322,127.10495,1 +404,판교테크노2사거리,0,37.39984,127.10647, +405,화랑공원 삼거리,0,37.39625,127.10693, +406,판교I/C 사거리,0,37.39424,127.10562, +407,낙생고 삼거리,0,37.3884,127.10158,1 +408,백현고가 4거리,0,37.3816,127.10228,1 +409,성남외고 삼거리,0,37.37823,127.10208, +410,은혜와진리교회 삼거리,0,37.37498,127.10176, +411,궁안동 입구 3거리,0,37.37053,127.10174, +412,삼다가 삼거리,0,37.36956,127.1017, +413,장수촌 단일로,0,37.36663,127.10159, +414,궁내T/G 사거리,0,37.36373,127.1016, +415,보바스기념병원 사거리,0,37.35754,127.10175, +416,로얄냉장 사거리,0,37.35345,127.1017, +417,동원동 삼거리,0,37.34472,127.1015, +418,금곡IC단일로,0,37.34221,127.10257, +419,금곡IC분당진입,0,37.35007,127.10298, +420,정신문화연구원,0,37.39141,127.05731, +421,송유관공사 삼거리,0,37.38044,127.04807, +422,이우학교 삼거리,0,37.35203,127.08585, +423,동막I/C 밑,0,37.35334,127.08143, +424,대장I/C 출구,0,37.36175,127.0678, +425,대장I/C 입구,0,37.35944,127.06821, +426,엔씨소프트단일,0,37.39984,127.10846, +427,스타트업캠퍼스 삼거리(점멸),0,37.40396,127.10648, +428,수질복원센터 삼거리,0,37.39789,127.10157, +429,판교주민센터 뒤(점멸),0,37.38962,127.09975, +430,낙생초교 후문(점멸),0,37.39473,127.10027, +431,낙생초교 정문(점멸),0,37.39473,127.09916, +432,성내미마을 삼거리(점멸),0,37.40161,127.09336, +433,지역난방공사 뒤(점멸),0,37.39504,127.10195, +434,운중교 삼거리(점멸),0,37.39018,127.06781, +435,서판교로 66번길,0,37.39272,127.09952, +436,이배재 사거리,0,37.43166,127.1791,1 +437,반포산업 사거리,0,37.43113,127.1742, +438,코멕스 삼거리,0,37.43153,127.17216, +439,공단본부 사거리,0,37.43218,127.16762, +440,대원지구대 삼거리,0,37.43265,127.16595,1 +441,한일레미콘 단일로,0,37.4329,127.16404, +442,대원 사거리,0,37.43342,127.15993,1 +443,자이아파트 삼거리,0,37.43238,127.15772, +444,청소년수련관 사거리,0,37.43056,127.15404,1 +445,아튼빌정문 사거리,0,37.42997,127.15166, +446,아튼빌후문 삼거리,0,37.42935,127.14916, +447,방송고 단일로,0,37.42887,127.14718, +448,검단초교 사거리,0,37.42829,127.14474, +449,하대원파출소 사거리,0,37.42826,127.14182,1 +450,성남동현대아파트 삼거리,0,37.4291,127.14003, +451,중원구청 사거리,0,37.42972,127.13715,1 +452,신광교회 단일로,0,37.42913,127.13533, +453,월드카센타 앞,0,37.42892,127.13326, +454,천주교성당 앞,0,37.4291,127.13151, +455,금광중 후문,0,37.44749,127.17104, +456,하원초교 삼거리,0,37.44719,127.16961, +457,신구대 사거리,0,37.44671,127.16731, +458,금광2동사무소 단일로,0,37.44611,127.1645, +459,금광1동사무소 사거리,0,37.44527,127.16184, +460,단대쇼핑뒤 단일로,0,37.44462,127.16, +461,해오름 사거리,0,37.44397,127.15791, +462,중앙동사무소 삼거리,0,37.44307,127.15574, +463,중앙동 사거리,0,37.44178,127.15285, +464,성남공판장 단일로,0,37.44064,127.15033, +465,제일초교 단일로,0,37.43958,127.14788, +466,성호시장 사거리,0,37.43845,127.14535, +467,성일여중고 사거리,0,37.43666,127.14201, +468,성일여고 삼거리,0,37.43602,127.14089, +469,성호지구대 단일로,0,37.4354,127.13976, +470,운동장후문 삼거리,0,37.43462,127.13811, +471,운동장 사거리,0,37.434,127.13504,0 +472,삼영전자 앞,0,37.44397,127.15491, +473,세이브존 단일로,0,37.4432,127.15333, +474,우리은행 사거리,0,37.44263,127.15218,1 +475,성남우체국,0,37.4418,127.1501, +476,신흥 사거리,0,37.43962,127.14455, +477,수진역 사거리,0,37.43762,127.14097,1 +478,모란 사거리,0,37.43358,127.12892,1 +479,둔전교회 앞,0,37.43342,127.12747, +480,고속화도로 출구,0,37.43248,127.11988, +481,탄천 삼거리,0,37.43242,127.11894, +482,동양공업사 사거리,0,37.4339,127.17895, +483,보통골 동성교통앞,0,37.43533,127.17884, +484,근로복지관 삼거리,0,37.43794,127.17861,1 +485,궁전아파트 삼거리,0,37.44013,127.17895, +486,궁전아파트 사거리,0,37.44134,127.17911, +487,파리크라상 사거리,0,37.43504,127.17031, +488,구공단파출소 오거리,0,37.43776,127.17374,1 +489,순흥물산 삼거리,0,37.43983,127.17611, +490,자동차검사소 삼거리,0,37.44189,127.17765, +491,중원경찰서 사거리,0,37.44232,127.16868, +492,금광1파출소 사거리,0,37.44514,127.16826, +493,신구대서문 삼거리,0,37.44873,127.16661, +494,금광중 단일로,0,37.44616,127.17079, +495,금광 삼거리,0,37.44793,127.17307, +496,래미안 삼거리,0,37.4502,127.17436, +497,금상초교 단일로,0,37.44253,127.16612, +498,금광주유소 단일로,0,37.4418,127.16417, +499,학년쇼핑 단일로,0,37.44036,127.1625, +500,단남아파트 단일로,0,37.44215,127.15962, +501,해오름주차장 사거리,0,37.44117,127.15994, +502,상대원고개 단일로,0,37.4398,127.15937, +503,상대원시장 삼거리,0,37.43639,127.15814, +504,상대원고개 농협단일로,0,37.43542,127.15812, +505,대원터널 앞,0,37.43257,127.16034, +506,도촌동입구 삼거리,0,37.41725,127.14993, +507,도촌동입구 사거리,0,37.41547,127.14781, +508,신지교회 단일로,0,37.43703,127.1463, +509,성일고 삼거리,0,37.43563,127.14727, +510,성남서고 삼거리,0,37.43471,127.1479, +511,하대원현대아파트 삼거리,0,37.43243,127.1507, +512,대하초교 단일로,0,37.43112,127.1512, +513,은행동순환로밑 삼거리,0,37.45313,127.17252, +514,중부초교 사거리,0,37.45086,127.16588, +515,은행동현대아파트 삼거리,0,37.45029,127.16312, +516,중앙병원 단일로,0,37.45362,127.16194, +517,해성주유소 사거리,0,37.42827,127.13787, +518,여수지하차도위 사거리,0,37.42154,127.12883,1 +519,모란시장 사거리,0,37.42981,127.1294,1 +520,모란 삼거리,0,37.43281,127.12903, +521,모란견인소 삼거리,0,37.43013,127.12016, +522,탄천로변 삼거리,0,37.43038,127.11889, +523,공단주유소 오거리,0,37.43461,127.17396, +524,우림라이온스밸리 사거리,0,37.43354,127.17112, +525,에이스경로당 사거리,0,37.44128,127.17143, +526,에스콰이어교회 앞,0,37.43963,127.17243, +527,중원보건소 삼거리,0,37.44173,127.17027, +528,갈현 삼거리,0,37.42247,127.17061, +529,중앙초교 앞,0,37.43529,127.14318, +530,여울목 삼거리,0,37.42021,127.15724, +531,도촌동 1단지앞,0,37.41485,127.14834, +532,도촌남로 사거리,0,37.41422,127.15018, +533,도촌프라자 단일로,0,37.41443,127.15194, +534,도촌중입구 사거리,0,37.41448,127.15508, +535,도촌초교 단일로,0,37.414,127.15724,0 +536,도촌초교 삼거리,0,37.41361,127.15836, +537,도촌초교 정문,0,37.41417,127.15877, +538,도촌 수산횟집 앞,0,37.41575,127.15064, +539,도촌북로 사거리,0,37.41672,127.15094, +540,도촌우체국 삼거리,0,37.41709,127.15306, +541,도촌파출소 사거리,0,37.41737,127.15531, +542,도촌종합복지관삼거리,0,37.41518,127.15948, +543,901동앞 삼거리,0,37.41253,127.1634, +544,영생사업소 입구,0,37.4198,127.18303, +545,추모원 주차장입구,0,37.42085,127.1827, +546,장례식장 주차장입구,0,37.42182,127.18233, +547,마지로 신호등 1,0,37.42831,127.13139, +548,마지로 신호등 2,0,37.42817,127.13242, +549,마지로 신호등 3,0,37.4282,127.1337, +550,마지로 신호등 4,0,37.42832,127.13591, +551,보육시설 삼거리,0,37.44251,127.15655, +552,힐스테이 삼거리,0,37.43575,127.14989, +553,시청광장 삼거리,0,37.41879,127.12715, +554,시청정문 사거리,0,37.41879,127.12569, +555,시청공원 삼거리,0,37.41759,127.12456, +556,센트럴타운 사거리,0,37.41878,127.13063, +557,여수초교 삼거리,0,37.41877,127.13241, +558,여수공원 삼거리,0,37.41877,127.13394, +559,연꽃마을4단지 사거리,0,37.41866,127.13547, +560,옥토교회 사거리,0,37.4179,127.13735, +561,공영주차장 단일로,0,37.45737,127.16553, +562,은행2동주민센타 삼거리,0,37.45675,127.16663, +563,이원빌라 사거리,0,37.45613,127.16775, +564,두산아파트 사거리,0,37.45455,127.16387, +565,상원초교 입구,0,37.45477,127.16258, +566,모란 LH 1단지 정문,0,37.43075,127.12607, +567,한신병원앞,0,37.4332,127.131,0 +568,모란시장 삼거리,0,37.42996,127.12798, +569,모란시장 단일로,0,37.42983,127.12709, +570,모란주차장사거리,0,37.42969,127.12613, +571,모란공원 단일로,0,37.42959,127.12452, +572,도촌중 단일로,0,37.41672,127.15526, +573,청진동 수산횟집앞,0,37.43441,127.15874, +574,지식산업센타 사거리,0,37.44031,127.17424, +575,금광지구 8번게이트,0,37.44289,127.16712, +576,오복슈퍼앞,0,37.45014,127.16613, +577,상대원초교 정문,0,37.44278,127.18114, +578,도촌스위첸앞,0,37.41454,127.1539, +579,도촌9단지 정문,0,37.41194,127.16294, +580,한양수자인,0,37.44769,127.17192, +581,스타타워 사거리,0,37.43436,127.17666, +582,슈페리어 단일로,0,37.43333,127.17897, +583,상대원 터널,0,37.42791,127.17951, +584,상대원 터널 우회전전용,0,37.42811,127.17991, +585,호반아파트 후문,0,37.42895,127.09436, +586,호반아파트 정문,0,37.42999,127.09621, +587,고등마을,0,37.43036,127.09896, +588,고등지구대,0,37.43022,127.10068, +589,청구아파트,0,37.44327,127.15089, +590,두산아파트,0,37.44398,127.14961,0 +591,한신아파트 후문,0,37.445,127.15082, +592,희망대사거리,0,37.44482,127.14799,0 +593,희망대초교,0,37.44662,127.14941, +594,구)신흥시장길,0,37.44559,127.14657, +595,태평제일교회,0,37.44781,127.1439, +596,신흥성당,0,37.44871,127.14306, +597,신흥초교,0,37.44954,127.14355, +598,성남여중,0,37.44937,127.14247, +599,가일빌딩(나나헤어),0,37.44446,127.1287, +600,태평초교,0,37.44535,127.13168, +601,태평3동 행정복지센터,0,37.4456,127.13256, +602,통보2차 아파트,0,37.44664,127.13612, +603,영락교회,0,37.44699,127.13723, +604,금빛초교 정문,0,37.4475,127.13897, +605,금빛초교 후문,0,37.44798,127.14062, +606,논골도서관,0,37.45625,127.16019, +607,양지아파트,0,37.45698,127.15943, +608,단대제1공영주차장,0,37.45872,127.15853, +609,문원중학교,0,37.46111,127.15798, +610,성보경영고,0,37.4624,127.15797, +611,푸르지오 입구,0,37.45104,127.15885, +612,푸르지오 정문,0,37.45134,127.15761, +613,진로아파트,0,37.45159,127.15681, +614,단대초교,0,37.45295,127.15661, +615,단대지구대,0,37.45252,127.15812, +616,구)목넴기,0,37.40916,127.09803, +617,남산마을,0,37.40883,127.09725, +618,구)금토슈퍼,0,37.40868,127.09621, +619,창조벨리,0,37.40863,127.09557, +620,판교임시IC,0,37.40856,127.09491, +621,금토1통,0,37.41722,127.08102, +622,금토동 삼거리,0,37.41092,127.09947, +623,창조벨리 삼거리,0,37.41221,127.09973, +624,세종연구소 삼거리,0,37.41631,127.1016, +625,시흥사거리,0,37.42232,127.10205, +626,고등소방서,0,37.42354,127.10215, +627,구) 고등주민센터,0,37.42446,127.1022, +628,사송동 차고지,0,37.41539,127.11476, +629,수자원공사입구,0,37.41451,127.11349, +630,사송교차로,0,37.41172,127.11403, +631,단대오거리,0,37.44507,127.15681,1 +632,구)단대동주민센터,0,37.44816,127.15835, +633,금광시장,0,37.45086,127.15952, +634,법원,0,37.452,127.16004, +635,중앙병원,0,37.45413,127.16098,1 +636,상원초교,0,37.4552,127.1618, +637,은행지구대,0,37.45707,127.16339, +638,은행시장,0,37.45804,127.16423, +639,을지대 정문,0,37.45986,127.16577, +640,을지대 후문,0,37.46148,127.16751, +641,양지지구대,0,37.46266,127.16916, +642,남한산성 유원지,0,37.46355,127.17029, +643,모란고개,0,37.43654,127.12838, +644,태평역,0,37.43974,127.12775,1 +645,수정경찰서,0,37.44181,127.12739, +646,태평고개,0,37.44395,127.12701, +647,구)성남병원,0,37.44794,127.12673,1 +648,가천대,0,37.45057,127.12662, +649,복정초소,0,37.45352,127.12652, +650,복정지구대,0,37.45628,127.12629, +651,동서울대,0,37.45976,127.12585,1 +652,복정초교,0,37.46185,127.12944, +653,국제학교,0,37.46545,127.12629,1 +654,삼정그린뷰아파트,0,37.43999,127.12145, +655,삼부아파트 후문,0,37.43952,127.12436, +656,삼부아파트,0,37.4395,127.12589, +657,곽생로,0,37.44049,127.13028, +658,중앙시장,0,37.44093,127.13181, +659,한국관,0,37.44144,127.13346, +660,탄리사거리,0,37.44221,127.13613, +661,구)시청,0,37.44309,127.13906, +662,의료원 장례식장,0,37.44385,127.13869, +663,의료원 정문,0,37.44407,127.1385, +664,외환은행,0,37.44356,127.14065, +665,숯골사거리,0,37.44409,127.14248,1 +666,성남초교(단),0,37.44494,127.14405, +667,성남초교(4),0,37.44636,127.14541,1 +668,구)청직이약국,0,37.44811,127.14531, +669,신흥2동 주민센터,0,37.4491,127.14584, +670,수정구청,0,37.44962,127.14624, +671,포레스티아 서문,0,37.45063,127.14702, +672,포레스티아 중문,0,37.45227,127.14934,1 +673,포레스티아 동문 삼거리,0,37.45406,127.14971, +674,산성역,0,37.45642,127.15006,1 +675,폴리텍,0,37.45869,127.15196, +676,변전소,0,37.46225,127.15521, +677,청산골,0,37.4409,127.14395, +678,구)시청고개,0,37.44208,127.14342, +679,왕남초교 주차장 삼거리,0,37.42777,127.09895, +680,왕남초교 정문,0,37.42786,127.09827, +681,여수대교 사거리,0,37.42205,127.11668,1 +682,시흥동주민센터 삼거리,0,37.42241,127.10856, +683,농협물류창고 삼거리,0,37.42238,127.10527, +684,수성교,0,37.43512,127.13449, +685,수진소방서,0,37.43649,127.13384, +686,Yes 할인마트,0,37.43769,127.1333, +687,공주보일러,0,37.43896,127.1327, +688,태평로약국,0,37.44238,127.13113, +689,서광모터스,0,37.44308,127.1308, +690,하나님의교회,0,37.44411,127.13033, +691,한전사거리,0,37.44483,127.12997, +692,태평중학교,0,37.4462,127.12936, +693,태평3동 공영주차장,0,37.44682,127.12906, +694,LH 기업성장센터 사거리,0,37.41081,127.09487, +695,디어스빌딩 앞 삼거리,0,37.41256,127.09887, +696,경기 기업성장센터 삼거리,0,37.41209,127.09561, +697,판교 기업성장센터 사거리,0,37.41134,127.09495, +698,풍경채 입구,0,37.42564,127.10041, +699,토끼굴,0,37.4261,127.09714, +700,아이비빌딩,0,37.42713,127.09501, +701,정혜사,0,37.42803,127.09346, +702,고등IC,0,37.42956,127.09079, +703,적푸리마을,0,37.43361,127.08478, +704,신구대식물원,0,37.43214,127.08167, +705,청계산주유소,0,37.43071,127.07334, +706,청계산장,0,37.43052,127.07174, +707,탄천교차로,0,37.41867,127.11755, +708,선사교회,0,37.42024,127.11703, +709,둔전교,0,37.42736,127.11654, +710,비닐하우스,0,37.4302,127.1202, +711,탄천주차장 정문,0,37.4422,127.11968, +712,탄천주차장 후문(탄천한우),0,37.44346,127.11971, +713,탄천대교 사거리,0,37.45775,127.11952, +714,경원진지,0,37.45186,127.12105, +715,능골공원,0,37.4491,127.12044, +716,수질복원센터 후문,0,37.4589,127.12104, +717,수질복원센터 정문,0,37.46024,127.12446, +718,수진동행정복지센터,0,37.43869,127.13921, +719,성체유치원,0,37.43916,127.13776, +720,은서유치원,0,37.44357,127.1355, +721,순온천사우나,0,37.44439,127.13511, +722,태평오거리,0,37.4461,127.1343, +723,쌍용아파트,0,37.44797,127.12775, +724,동부센트레빌,0,37.44804,127.12852, +725,성남서초,0,37.44834,127.12956, +726,두산위브,0,37.44966,127.13401, +727,위례부영아파트,0,37.46057,127.14543, +728,위례소방서,0,37.46161,127.14359, +729,미도아파트,0,37.44647,127.15542, +730,세무서,0,37.44686,127.15503, +731,청소년수련원,0,37.44948,127.15321, +732,혜은학교,0,37.44995,127.15261, +733,현대자동차공업사,0,37.45039,127.152, +734,북초교,0,37.45086,127.15132, +735,양지근린공원 임시 단일로,0,37.4629,127.16197,0 +736,풍경채 정문 사거리,0,37.42739,127.1007, +737,왕남초교 삼거리,0,37.42816,127.10089, +738,5171부대 삼거리,0,37.42055,127.10217, +739,구)고등동 삼거리,0,37.42564,127.10233, +740,구)고등사거리,0,37.42807,127.10193, +741,대왕주유소 삼거리,0,37.42995,127.10205, +742,등자리마을 삼거리,0,37.43498,127.10356, +743,한성대 삼거리,0,37.43258,127.10311, +744,제2정문 삼거리,0,37.43848,127.10371, +745,우정아파트 삼거리,0,37.44464,127.10373, +746,공군아파트 삼거리,0,37.44611,127.10401, +747,서울공항 정문 사거리,0,37.44851,127.10497, +748,효성고 단일로,0,37.44952,127.10542, +749,오야실마을 삼거리,0,37.45491,127.10686, +750,미군부대 삼거리,0,37.45789,127.10736, +751,신촌동 삼거리,0,37.45994,127.10763, +752,성남서중,0,37.44775,127.1542, +753,램프구간 하부,0,37.45344,127.17281, +754,창곡사거리,0,37.46316,127.14072,1 diff --git a/Data/tables/20240206_155342/S_INT_PHASE_CONFIG.csv b/Data/tables/20240206_155342/S_INT_PHASE_CONFIG.csv new file mode 100644 index 000000000..a79927e5d --- /dev/null +++ b/Data/tables/20240206_155342/S_INT_PHASE_CONFIG.csv @@ -0,0 +1,3909 @@ +INT_NO,INT_PHASE_NO,INT_PLAN_CLSS,INT_RING,INT_FLOW_NO,INT_MIN_SPLIT,INT_MAX_SPLIT,INT_YELLOW,INT_MAIN_PHASE,INT_LANE,INT_PHASE_LAT1,INT_PHASE_LNG1,INT_PHASE_LAT2,INT_PHASE_LNG2,INT_PHASE_LAT3,INT_PHASE_LNG3 +204,1,0,0,8,0,0,0,0,0,37.36581,127.10822,37.36614,127.10822,37.36626,127.10822 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08:04:00,0,0,0,0,0,0,,,0,0 +754,2023-10-18 08:03:00,0,0,0,0,0,0,,,0,0 +754,2023-10-18 08:02:00,0,0,0,0,0,0,,,0,0 +754,2023-10-18 08:01:00,0,0,0,0,0,0,,,0,0 +754,2023-10-18 08:00:00,0,0,0,0,0,0,,,0,0 diff --git a/Documents/1127_table_definition/table_definition_v0.8.4.xlsx b/Documents/1127_table_definition/table_definition_v0.8.4.xlsx index 1cb8323c9..c493d9f2f 100644 Binary files a/Documents/1127_table_definition/table_definition_v0.8.4.xlsx and b/Documents/1127_table_definition/table_definition_v0.8.4.xlsx differ diff --git a/Documents/김선중_신호생성(240206).pptx b/Documents/김선중_신호생성(240206).pptx new file mode 100644 index 000000000..591e1b6f6 Binary files /dev/null and b/Documents/김선중_신호생성(240206).pptx differ diff --git a/Intermediates/movements.csv b/Intermediates/movements.csv deleted file mode 100644 index 4d6c3e2bb..000000000 --- a/Intermediates/movements.csv +++ /dev/null @@ -1,33 +0,0 @@ -,inter_no,phas_A,phas_B,move_A,move_B -0,175,1,1,8,4 -1,175,2,2,7,3 -2,175,3,3,6,1 -3,175,3,4,6,2 -4,175,4,4,5,2 -5,176,1,1,8,4 -6,176,2,2,8,3 -7,176,3,3,5,18 -8,177,1,1,8,4 -9,177,2,2,7,3 -10,177,3,3,17,18 -11,177,4,4,5,1 -12,178,1,1,8,4 -13,178,2,2,7,3 -14,178,3,3,5,2 -15,178,4,4,6,1 -16,201,1,1,8,3 -17,201,2,2,5,2 -18,201,3,3,6,2 -19,201,4,4,6,1 -20,201,5,5,7,4 -21,202,1,1,6,2 -22,202,2,2,17,18 -23,206,1,1,8,4 -24,206,2,2,17,18 -25,206,3,3,8,4 -26,206,4,4,17,18 -27,210,1,1,6,18 -28,210,1,2,6,2 -29,210,2,2,5,2 -30,210,3,3,7,4 -31,210,4,4,8,3 diff --git a/Results/issues_fetch_tables.txt b/Results/issues_fetch_tables.txt new file mode 100644 index 000000000..fb38a1a1f --- /dev/null +++ b/Results/issues_fetch_tables.txt @@ -0,0 +1 @@ +1-4-2-1. 위도 또는 경도가 범위를 벗어난 교차로가 있습니다: INT_NO : 1 diff --git a/Results/sn_1704429000.add.xml b/Results/sn_1704429000.add.xml new file mode 100644 index 000000000..dc915b1e2 --- /dev/null +++ b/Results/sn_1704429000.add.xml @@ -0,0 +1,716 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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end of file diff --git a/Results/sn_1704449700.add.xml b/Results/sn_1704449700.add.xml new file mode 100644 index 000000000..0acfe6c32 --- /dev/null +++ b/Results/sn_1704449700.add.xml @@ -0,0 +1,716 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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"results":["Results"], + "tables":["Data","tables"], + "networks":["Data","networks"], + "scripts": ["Scripts"]} +} \ No newline at end of file diff --git a/Scripts/credentials.json b/Scripts/credentials.json new file mode 100644 index 000000000..c4b8d9a5f --- /dev/null +++ b/Scripts/credentials.json @@ -0,0 +1,5 @@ +{ + "DSNNAME": "Tibero6", + "DBUSER": "snits", + "DBPWD": "snits" +} diff --git a/Scripts/fetch_tables.py b/Scripts/fetch_tables.py new file mode 100644 index 000000000..a716fea9e --- /dev/null +++ b/Scripts/fetch_tables.py @@ -0,0 +1,131 @@ +# (rts) PS C:\Github\siggen> python .\Scripts\fetch_tables.py +import pandas as pd +import pyodbc +import os, json, csv +from tqdm import tqdm +from datetime import datetime + +starting_time = datetime.now() + +# 루트폴더 지정 +path_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +with open(os.path.join(path_root, 'Scripts', 'config.json'), 'r') as config_file: + config = json.load(config_file) +# 주요 폴더 경로 지정 +paths = config['paths'] +path_tables = os.path.join(path_root, *paths['tables']) +path_results = os.path.join(path_root, *paths['results']) + +# 이슈사항 목록 +issues = [] + +# DB 접속정보 +connection_info = config['connection_info'] +DSNNAME = connection_info["DSNNAME"] +DBUSER = connection_info["DBUSER"] +DBPWD = connection_info["DBPWD"] + +# 오류 발생을 위한 코드 +# DSNNAME += 'a' +# DBUSER += 'a' +# DBPWD += 'a' + +# 데이터베이스 연결 +try: + cnxn = pyodbc.connect(f'DSN={DSNNAME};UID={DBUSER};PWD={DBPWD};charset=utf-8') + cursor = cnxn.cursor() + print("데이터베이스 연결에 성공했습니다.") +except pyodbc.InterfaceError: + print("데이터베이스 연결 실패: 데이터 원본 이름을 확인하거나 기본 드라이버를 지정하세요.") + # 여기서 오류 처리 로직을 추가할 수 있습니다. +except pyodbc.OperationalError as e: + if "Login failed" in str(e): + print("로그인 실패: 사용자 이름 또는 비밀번호가 유효하지 않습니다.") + else: + print("연결 실패: 운영 체제 레벨에서 오류가 발생했습니다.") + # 여기서 오류 처리 로직을 추가할 수 있습니다. +except Exception as e: + print(f"예기치 않은 오류가 발생했습니다: {e}") + # 여기서 오류 처리 로직을 추가할 수 있습니다. + + +schema = 'SNITS_INT' +tables = ['S_INT_CONFIG', # 교차로 제어기 + 'S_INT_PHASE_CONFIG', # 교차로 현시구성 + 'S_INT_TPLAN', # 교차로 시간계획 + 'S_SA_CYCLE_PLAN', + 'S_SA_DPLAN', # 그룹 일계획 + 'S_SA_WPLAN', # 그룹 주간계획 + 'S_TOD_HIS'] # 신호 TOD 이력 + +# 폴더 Data\tables\yyyymmdd_hhmmss 생성 +timestamp = starting_time.strftime('%Y%m%d_%H%M%S') +# base_dir = os.path.join(path_tables, timestamp) +os.makedirs(os.path.join(path_tables, timestamp), exist_ok=True) + +def fetch_table(table, condition=""): + try: + query = f"SELECT * FROM {schema}.{table} {condition}" + cursor.execute(query) + csv_file_path = os.path.join(path_tables, timestamp, f"{table}.csv") + with open(csv_file_path, 'w', newline='', encoding='utf-8-sig') as csvfile: + csv_writer = csv.writer(csvfile) + columns = [column[0] for column in cursor.description] + csv_writer.writerow(columns) + for row in cursor.fetchall(): + csv_writer.writerow(row) + except pyodbc.ProgrammingError as e: + if '42S02' in str(e): + print(f"오류: '{table}' 테이블이 스키마에 존재하지 않습니다.") + else: + print(f"SQL 실행 오류: {e}") + except Exception as e: + print(f"예기치 않은 오류가 발생했습니다: {e}") + +fetch_table('S_INT_CONFIG') +fetch_table('S_INT_PHASE_CONFIG') +fetch_table('S_INT_TPLAN') +fetch_table('S_SA_CYCLE_PLAN') +fetch_table('S_SA_DPLAN') +fetch_table('S_SA_WPLAN') +fetch_table('S_TOD_HIS', condition="WHERE INT_CREATE_DATE >= TO_TIMESTAMP('2023-10-17 23:15:00.0') ORDER BY INT_NO ASC, INT_CREATE_DATE DESC;") +# 오류 발생을 위한 코드 +fetch_table('foo') +print("테이블을 모두 불러왔습니다.") + +cnxn.close() + +inter_info = pd.read_csv(os.path.join(path_tables, timestamp, 'S_INT_CONFIG.csv')) +plan = pd.read_csv(os.path.join(path_tables, timestamp, 'S_INT_TPLAN.csv')) +history = pd.read_csv(os.path.join(path_tables, timestamp, 'S_TOD_HIS.csv')) +print(inter_info) +print(plan) +print(history) + +# 1-4-2. 교차로정보(inter_info) 검사 +def check_inter_info(): + # 1-4-2-1. inter_lat, inter_lon 적절성 검사 + inter_info.loc[0, 'INT_LAT'] = 38.0 # 에러 발생을 위한 코드 + max_lon, min_lon = 127.3, 127.0 + max_lat, min_lat = 37.5, 37.2 + for _, row in inter_info.iterrows(): + latbool = min_lat <= row['INT_LAT'] <= max_lat + lonbool = min_lon <= row['INT_LNG'] <= max_lon + if not(latbool and lonbool): + msg = f"1-4-2-1. 위도 또는 경도가 범위를 벗어난 교차로가 있습니다: INT_NO : {row['INT_NO']}" + issues.append(msg) + +def write_issues(): + print('3. 이슈사항을 저장합니다.') + path_issues = os.path.join(path_results, "issues_fetch_tables.txt") + with open(path_issues, "w", encoding="utf-8") as file: + for item in issues: + file.write(item + "\n") + if issues: + print("데이터 처리 중 발생한 특이사항은 다음과 같습니다. :") + for review in issues: + print(review) +check_inter_info() +write_issues() + +print("elapsed time :", datetime.now() - starting_time) \ No newline at end of file diff --git a/Scripts/fetch_tables_sc.py b/Scripts/fetch_tables_sc.py new file mode 100644 index 000000000..593dbcbf0 --- /dev/null +++ b/Scripts/fetch_tables_sc.py @@ -0,0 +1,75 @@ +import sched +import time +import pyodbc +import os, json, csv +from datetime import datetime, timedelta + +# 스케줄러 객체 생성 +scheduler = sched.scheduler(time.time, time.sleep) + +def fetch_table(scheduler, table, condition="", initial_run=False, is_move=False): + now = datetime.now() + timestamp = int(time.mktime(now.timetuple())) + timestamp -= timestamp % 5 # 초값이 0 또는 5인 시점의 유닉스 시각으로 조정 + folder_name = str(timestamp) + folder_path = os.path.join(path_root, 'Data', 'fetched_tables', folder_name) + + if not os.path.exists(folder_path): + os.makedirs(folder_path) + + if is_move: + # move 테이블의 경우, 5초 간격으로 데이터를 가져와야 함 + for offset in range(-300, 1, 5): + current_timestamp = timestamp + offset + file_name = f'move_{current_timestamp}.csv' + file_path = os.path.join(folder_path, file_name) + fetch_and_save(table, file_path, condition) + else: + file_path = os.path.join(folder_path, f'{table}.csv') + fetch_and_save(table, file_path, condition) + + # 다음 실행을 위해 스케줄러에 이 함수를 다시 예약합니다. + if initial_run: + next_run = now + timedelta(minutes=5 - now.minute % 5, seconds=-now.second, microseconds=-now.microsecond) + scheduler.enterabs(time.mktime(next_run.timetuple()), 1, fetch_table, (scheduler, table, condition, False, is_move)) + +def fetch_and_save(table, file_path, condition): + query = f"SELECT * FROM {schema}.{table} {condition}" + cursor.execute(query) + with open(file_path, 'w', newline='', encoding='utf-8-sig') as csvfile: + csv_writer = csv.writer(csvfile) + columns = [column[0] for column in cursor.description] + csv_writer.writerow(columns) + for row in cursor.fetchall(): + csv_writer.writerow(row) + +if __name__ == "__main__": + path_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + credentials_path = os.path.join(path_root, 'Scripts', 'credentials.json') + with open(credentials_path, 'r') as file: + credentials = json.load(file) + + DSNNAME = credentials["DSNNAME"] + DBUSER = credentials["DBUSER"] + DBPWD = credentials["DBPWD"] + + cnxn = pyodbc.connect(f'DSN={DSNNAME};UID={DBUSER};PWD={DBPWD};charset=utf-8') + cursor = cnxn.cursor() + schema = 'snits_siggen' + + tables_and_conditions = { + 'inter_info': "", + 'angle': "WHERE collect_unix = (SELECT MAX(collect_unix) FROM angle)", + 'plan': "WHERE collect_unix = (SELECT MAX(collect_unix) FROM plan)", + 'history': "WHERE end_unix >= UNIX_TIMESTAMP() - 9000", # UNIX_TIMESTAMP()를 적절한 TiberoDB 함수로 대체 + 'move': "" # move 테이블은 별도로 처리 + } + + # 초기 작업 예약 및 스케줄러 실행 + now = datetime.now() + initial_delay = timedelta(minutes=5 - now.minute % 5, seconds=-now.second, microseconds=-now.microsecond).total_seconds() + for table, condition in tables_and_conditions.items(): + is_move = (table == 'move') + scheduler.enter(initial_delay, 1, fetch_table, (scheduler, table, condition, True, is_move)) + + scheduler.run() diff --git a/Script/generate_signals.py b/Scripts/generate_signals.py similarity index 95% rename from Script/generate_signals.py rename to Scripts/generate_signals.py index 733c3bee2..aeb146cd2 100644 --- a/Script/generate_signals.py +++ b/Scripts/generate_signals.py @@ -1,3 +1,4 @@ +# (siggen) PS C:\Github\snits_siggen> python .\Scripts\generate_signals.py import pandas as pd import numpy as np import os, sys @@ -9,7 +10,19 @@ from datetime import datetime class SignalGenerator(): def __init__(self): + # 루트폴더 지정 self.path_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + with open(os.path.join(self.path_root, 'Scripts', 'config.json'), 'r') as config_file: + config = json.load(config_file) + # 주요 폴더 경로 지정 + self.paths = config['paths'] + self.path_data = os.path.join(self.path_root, *self.paths['data']) + self.path_intermediates = os.path.join(self.path_root, *self.paths['intermediates']) + 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_scripts = os.path.join(self.path_root, *self.paths['scripts']) + # 이슈사항 목록 self.issues = [] self.midnight = int(datetime(2024, 1, 5, 0, 0, 0).timestamp()) @@ -34,7 +47,7 @@ class SignalGenerator(): # 1-1. 네트워크 불러오기 def load_networks(self): - self.net = sumolib.net.readNet(os.path.join(self.path_root, 'Data', 'networks', 'sn.net.xml')) + self.net = sumolib.net.readNet(os.path.join(self.path_networks, 'sn.net.xml')) print("1-1. 네트워크가 로드되었습니다.") # 1-2. 테이블 불러오기 @@ -52,16 +65,15 @@ class SignalGenerator(): loading_dtype[f'angle_{alph}{j}'] = 'str' loading_dtype[f'dura_{alph}{j}'] = 'int' - self.path_table = os.path.join(self.path_root, 'Data', 'tables') # 테이블 불러오기 - self.inter_info = pd.read_csv(os.path.join(self.path_table, 'inter_info.csv'), dtype=loading_dtype) - self.plan = pd.read_csv(os.path.join(self.path_table, 'plan.csv'), dtype=loading_dtype) - self.history = pd.read_csv(os.path.join(self.path_table, 'history.csv'), dtype=loading_dtype) - self.inter_node = pd.read_csv(os.path.join(self.path_table, 'inter_node.csv'), dtype=loading_dtype) - self.matching = pd.read_csv(os.path.join(self.path_root, 'Intermediates', 'matching.csv'), dtype=loading_dtype) - self.movements = pd.read_csv(os.path.join(self.path_root, 'Intermediates', 'movements.csv'), dtype=loading_dtype) - self.match6 = pd.read_csv(os.path.join(self.path_root, 'Intermediates', 'match6.csv'), dtype=loading_dtype) + self.inter_info = pd.read_csv(os.path.join(self.path_tables, 'inter_info.csv'), dtype=loading_dtype) + self.plan = pd.read_csv(os.path.join(self.path_tables, 'plan.csv'), dtype=loading_dtype) + self.history = pd.read_csv(os.path.join(self.path_tables, 'history.csv'), dtype=loading_dtype) + self.inter_node = pd.read_csv(os.path.join(self.path_tables, 'inter_node.csv'), dtype=loading_dtype) + self.matching = pd.read_csv(os.path.join(self.path_intermediates, 'matching.csv'), dtype=loading_dtype) + self.match1 = pd.read_csv(os.path.join(self.path_intermediates, 'match1.csv'), dtype=loading_dtype) + self.match6 = pd.read_csv(os.path.join(self.path_intermediates, 'match6.csv'), dtype=loading_dtype) self.match6 = self.match6[['node_id', 'phase_no', 'ring_type', 'inc_edge', 'out_edge']].reset_index(drop=True) # 교차로목록 정의 @@ -77,7 +89,7 @@ class SignalGenerator(): sys.path.append(tools) else: raise EnvironmentError("please declare environment variable 'SUMO_HOME'") - traci.start([sumolib.checkBinary('sumo'), "-n", os.path.join(self.path_root, 'Data', 'networks', 'sn.net.xml')]) + traci.start([sumolib.checkBinary('sumo'), "-n", os.path.join(self.path_networks, 'sn.net.xml')]) nodes = [node for node in self.net.getNodes() if node.getType()=='traffic_light'] for node in nodes: node_id = node.getID() @@ -167,7 +179,7 @@ class SignalGenerator(): self.nodes = [self.net.getNode(node_id) for node_id in self.node_ids] # node2num_cycles : A dictionary that maps a node_id to the number of cycles - with open(os.path.join(self.path_root, 'Intermediates', 'node2num_cycles.json'), 'r') as file: + with open(os.path.join(self.path_intermediates, 'node2num_cycles.json'), 'r') as file: # json.load() 함수를 사용해 파일 내용을 Python 딕셔너리로 불러옵니다. self.node2num_cycles = json.load(file) @@ -399,7 +411,7 @@ class SignalGenerator(): print("3. 이동류정보 테이블을 변환합니다.") self.make_movement() self.update_movement() - + # 3-1. movement def make_movement(self): # # - 아래 절차를 5초마다 반복 @@ -436,7 +448,7 @@ class SignalGenerator(): # # 8. D데이터 보관 시간 기준시간을 시작 유닉스 타임의 최대값 - 3600을 값으로 산출하고, 보관 시간 기준시간보다 작은 시작 유닉스 타임을 가진 행은 모두 제거(1시간 데이터만 보관) # self.movement = self.movement[self.movement.start_unix > fsec - 3600] # self.movement = self.movement.sort_values(by=['start_unix','inter_no','phas_A','phas_B']).reset_index(drop=True) - self.movement = pd.read_csv(os.path.join(self.path_root, 'Intermediates', 'movement', f'movement_{self.present_time}.csv'), index_col=0) + self.movement = pd.read_csv(os.path.join(self.path_intermediates, 'movement', f'movement_{self.present_time}.csv'), index_col=0) # 3-2. movement_updated def update_movement(self): @@ -451,8 +463,8 @@ class SignalGenerator(): new_rows = [] if missing_in_movement: for inter_no, start_unix in missing_in_movement: - # movements에서 해당 inter_no의 데이터를 찾습니다. - new_row = self.movements[self.movements['inter_no'] == inter_no].copy() + # match1에서 해당 inter_no의 데이터를 찾습니다. + new_row = self.match1[self.match1['inter_no'] == inter_no].copy() # start_unix 값을 설정합니다. new_row['start_unix'] = start_unix new_rows.append(new_row) @@ -750,14 +762,14 @@ class SignalGenerator(): strings.append('') strings = ''.join(strings) # 저장 - self.path_output = os.path.join(self.path_root, 'Results', f'sn_{self.present_time}.add.xml') + self.path_output = os.path.join(self.path_results, f'sn_{self.present_time}.add.xml') with open(self.path_output, 'w') as f: f.write(strings) # 6. 이슈사항 저장 def write_issues(self): print('6. 이슈사항을 저장합니다.') - path_issues = os.path.join(self.path_root, "Results", "issues_generate_signals.txt") + path_issues = os.path.join(self.path_results, "issues_generate_signals.txt") with open(path_issues, "w", encoding="utf-8") as file: for item in self.issues: file.write(item + "\n") diff --git a/Script/preprocess_daily.py b/Scripts/preprocess_daily.py similarity index 89% rename from Script/preprocess_daily.py rename to Scripts/preprocess_daily.py index 0b4993465..8932baf4b 100644 --- a/Script/preprocess_daily.py +++ b/Scripts/preprocess_daily.py @@ -1,3 +1,4 @@ +# (siggen) PS C:\Github\snits_siggen> python .\Scripts\preprocess_daily.py import pandas as pd import numpy as np import os, sys @@ -7,7 +8,20 @@ from tqdm import tqdm class DailyPreprocessor(): def __init__(self): + # 루트폴더 지정 self.path_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + with open(os.path.join(self.path_root, 'Scripts', 'config.json'), 'r') as config_file: + config = json.load(config_file) + # 주요 폴더 경로 지정 + self.paths = config['paths'] + self.path_data = os.path.join(self.path_root, *self.paths['data']) + self.path_intermediates = os.path.join(self.path_root, *self.paths['intermediates']) + 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_scripts = os.path.join(self.path_root, *self.paths['scripts']) + + # 이슈사항 목록 self.issues = [] # 1. 데이터 불러오기 @@ -20,7 +34,7 @@ class DailyPreprocessor(): # 1-1. 네트워크 불러오기 def load_networks(self): - self.net = sumolib.net.readNet(os.path.join(self.path_root, 'Data', 'networks', 'sn.net.xml')) + self.net = sumolib.net.readNet(os.path.join(self.path_networks, 'sn.net.xml')) print("1-1. 네트워크가 로드되었습니다.") # 1-2. 테이블 불러오기 @@ -37,17 +51,15 @@ class DailyPreprocessor(): for j in range(1,9): loading_dtype[f'angle_{alph}{j}'] = 'str' loading_dtype[f'dura_{alph}{j}'] = 'int' - - self.path_table = os.path.join(self.path_root, 'Data', 'tables') - + # 테이블 불러오기 - self.inter_info = pd.read_csv(os.path.join(self.path_table, 'inter_info.csv'), dtype=loading_dtype) - self.angle = pd.read_csv(os.path.join(self.path_table, 'angle.csv'), dtype=loading_dtype) - self.plan = pd.read_csv(os.path.join(self.path_table, 'plan.csv'), dtype=loading_dtype) - self.inter_node = pd.read_csv(os.path.join(self.path_table, 'inter_node.csv'), dtype=loading_dtype) - self.uturn = pd.read_csv(os.path.join(self.path_table, 'child_uturn.csv'), dtype=loading_dtype) - self.coord = pd.read_csv(os.path.join(self.path_table, 'child_coord.csv'), dtype=loading_dtype) - self.nema = pd.read_csv(os.path.join(self.path_table, 'nema.csv'), encoding='cp949', dtype=loading_dtype) + self.inter_info = pd.read_csv(os.path.join(self.path_tables, 'inter_info.csv'), dtype=loading_dtype) + self.angle = pd.read_csv(os.path.join(self.path_tables, 'angle.csv'), dtype=loading_dtype) + self.plan = pd.read_csv(os.path.join(self.path_tables, 'plan.csv'), dtype=loading_dtype) + self.inter_node = pd.read_csv(os.path.join(self.path_tables, 'inter_node.csv'), dtype=loading_dtype) + self.uturn = pd.read_csv(os.path.join(self.path_tables, 'child_uturn.csv'), dtype=loading_dtype) + self.coord = pd.read_csv(os.path.join(self.path_tables, 'child_coord.csv'), dtype=loading_dtype) + self.nema = pd.read_csv(os.path.join(self.path_tables, 'nema.csv'), encoding='cp949', dtype=loading_dtype) # 교차로목록 정의 self.inter_nos = sorted(self.inter_info.inter_no.unique()) @@ -62,7 +74,7 @@ class DailyPreprocessor(): sys.path.append(tools) else: raise EnvironmentError("please declare environment variable 'SUMO_HOME'") - traci.start([sumolib.checkBinary('sumo'), "-n", os.path.join(self.path_root, 'Data', 'networks', 'sn.net.xml')]) + traci.start([sumolib.checkBinary('sumo'), "-n", os.path.join(self.path_networks, 'sn.net.xml')]) nodes = [node for node in self.net.getNodes() if node.getType()=='traffic_light'] for node in nodes: node_id = node.getID() @@ -106,7 +118,8 @@ class DailyPreprocessor(): valid_indices = ((durations >= 0) & (durations <= 200)).all(axis=1) invalid_inter_nos = sorted(self.plan[~ valid_indices].inter_no.unique()) if invalid_inter_nos: - msg = f"1-4-1-3. 음수이거나 200보다 큰 현시시간이 존재합니다. : {invalid_inter_nos}" + msg = f"1-4-1-3. plan에 음수이거나 200보다 큰 현시시간이 존재합니다. : {invalid_inter_nos}" + self.issues.append(msg) # 1-4-1-4. 주기 일관성 검사 # self.plan.loc[0, 'cycle'] = 50 # 에러 발생을 위한 코드 @@ -136,8 +149,8 @@ class DailyPreprocessor(): def check_inter_info(self): # 1-4-2-1. inter_lat, inter_lon 적절성 검사 # self.inter_info.loc[0, 'inter_lat'] = 38.0 # 에러 발생을 위한 코드 - self.max_lon, self.min_lon = 127.207888, 127.012492 - self.max_lat, self.min_lat = 37.480693, 37.337112 + self.max_lon, self.min_lon = 127.3, 127.0 + self.max_lat, self.min_lat = 37.5, 37.2 for _, row in self.inter_info.iterrows(): latbool = self.min_lat <= row['inter_lat'] <= self.max_lat lonbool = self.min_lon <= row['inter_lon'] <= self.max_lon @@ -151,14 +164,27 @@ class DailyPreprocessor(): # self.angle.loc[0, 'inter_no'] = '4' # 에러 발생을 위한 코드 missing_inter_nos = set(self.angle.inter_no) - set(self.inter_nos) if missing_inter_nos: - msg = f"1-4-2-1. angle의 inter_no 중 교차로 목록(inter_nos)에 포함되지 않는 항목이 있습니다: {missing_inter_nos}" + msg = f"1-4-3-1. angle의 inter_no 중 교차로 목록(inter_nos)에 포함되지 않는 항목이 있습니다: {missing_inter_nos}" + self.issues.append(msg) + + # 1-4-3-2. 각도 코드 검사 + angle_codes = self.angle[[f'angle_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]].values.flatten() + angle_codes = [code for code in angle_codes if not pd.isna(code) and code != 'stop'] + of_length_6 = [len(code)==6 for code in angle_codes] + if not all(of_length_6): + msg = f"1-4-3-2. 여섯자리가 아닌 각도코드가 존재합니다." + self.issues.append(msg) + angle_codes = [[code[:3],code[3:]] for code in angle_codes] + angle_codes = [int(item) for sublist in angle_codes for item in sublist] + angle_codes = [0<=code<360 for code in angle_codes] + if not all(angle_codes): + msg = f"1-4-3-2. 0과 359 사이의 값을 벗어나는 방위각이 존재합니다." self.issues.append(msg) # 2. 중간산출물 만들기 def get_intermediates(self): print('2. 중간산출물을 생성합니다.') self.get_matches() - self.get_movements() self.get_node2num_cycles() # 2-1 매칭테이블들 생성 @@ -184,11 +210,20 @@ class DailyPreprocessor(): match1을 만드는 데 시간이 소요되므로 한 번 만들어서 저장해두고 저장해둔 것을 쓴다. ''' # [이동류번호] 불러오기 (약 1분의 소요시간) - path_move = os.path.join(self.path_root, 'Data', 'tables', 'move') + path_move = os.path.join(self.path_tables, 'move') csv_moves = os.listdir(path_move) - moves = [pd.read_csv(os.path.join(path_move, csv_move), index_col=0) for csv_move in tqdm(csv_moves, desc='이동류정보 불러오는 중 : match1')] - self.match1 = pd.concat(moves).drop_duplicates().sort_values(by=['inter_no','phas_A','phas_B']).reset_index(drop=True) - self.match1.to_csv(os.path.join(self.path_root, 'Intermediates', 'match1.csv')) + moves = [pd.read_csv(os.path.join(path_move, csv_move), index_col=0) for csv_move in tqdm(csv_moves, desc='이동류정보 불러오는 중')] + df = pd.concat(moves).reset_index(drop=True) + self.match1 = [] + for i, group in df.groupby(['inter_no', 'phas_A', 'phas_B']): + inter_no, phas_A, phas_B = i + pairs_array = np.array(group[['move_A', 'move_B']]) + unique_pairs, counts = np.unique(pairs_array, axis=0, return_counts=True) + frequent_pair = unique_pairs[np.argmax(counts)] + self.match1.append(pd.DataFrame({'inter_no':[inter_no], 'phas_A':[phas_A], 'phas_B':[phas_B], + 'move_A':[frequent_pair[0]], 'move_B':[frequent_pair[1]]})) + self.match1 = pd.concat(self.match1).reset_index(drop=True) + self.match1.to_csv(os.path.join(self.path_intermediates, 'match1.csv')) # 2-1-2 def make_match2(self): @@ -449,7 +484,7 @@ class DailyPreprocessor(): # display(coord) cmatches = pd.concat(cmatches) self.match6 = pd.concat([self.match5, cmatches, self.coord]).drop_duplicates().sort_values(by=['inter_no', 'node_id', 'phase_no', 'ring_type']) - self.match6.to_csv(os.path.join(self.path_root, 'Intermediates', 'match6.csv')) + self.match6.to_csv(os.path.join(self.path_intermediates, 'match6.csv')) # 2-1-7 def make_matching(self): @@ -537,21 +572,9 @@ class DailyPreprocessor(): self.matching = pd.concat(self.matching) self.matching = self.matching.dropna().sort_values(by=['inter_no', 'node_id', 'move_no']).reset_index(drop=True) self.matching['move_no'] = self.matching['move_no'].astype(int) - self.matching.to_csv(os.path.join(self.path_root, 'Intermediates', 'matching.csv')) - - # 2-2 - def get_movements(self): - movements_path = os.path.join(self.path_root, 'Intermediates', 'movement') - movements_list = [pd.read_csv(os.path.join(movements_path, file), index_col=0) for file in tqdm(os.listdir(movements_path), desc='이동류정보 불러오는 중 : movements')] - movements = pd.concat(movements_list) - movements = movements.drop(columns=['start_unix']) - movements = movements.drop_duplicates() - movements = movements.sort_values(by=['inter_no', 'phas_A', 'phas_B']) - movements = movements.reset_index(drop=True) - movements.to_csv(os.path.join(self.path_root, 'Intermediates', 'movements.csv')) - print("2-2. movements를 생성했습니다.") - - # 2-3 node2num_cycles : A dictionary that maps a node_id to the number of cycles + self.matching.to_csv(os.path.join(self.path_intermediates, 'matching.csv')) + + # 2-2 node2num_cycles : A dictionary that maps a node_id to the number of cycles def get_node2num_cycles(self): # node2inter = dict(zip(inter_node['node_id'], inter_node['inter_no'])) self.node_ids = sorted(self.inter_node.node_id.unique()) @@ -563,14 +586,14 @@ class DailyPreprocessor(): df['num_cycle'] = 300 // df['min_cycle'] + 2 inter2num_cycles = dict(zip(df['inter_no'], df['num_cycle'])) node2num_cycles = {node_id : inter2num_cycles[self.node2inter[node_id]] for node_id in self.node_ids} - with open(os.path.join('Intermediates','node2num_cycles.json'), 'w') as file: + with open(os.path.join(self.path_intermediates,'node2num_cycles.json'), 'w') as file: json.dump(node2num_cycles, file, indent=4) - print("2-3. node2num_cycles.json를 저장했습니다.") + print("2-2. node2num_cycles.json를 저장했습니다.") # 3. 이슈사항 저장 def write_issues(self): print('3. 이슈사항을 저장합니다.') - path_issues = os.path.join(self.path_root, "Results", "issues_preprocess_daily.txt") + path_issues = os.path.join(self.path_results, "issues_preprocess_daily.txt") with open(path_issues, "w", encoding="utf-8") as file: for item in self.issues: file.write(item + "\n") @@ -589,4 +612,4 @@ class DailyPreprocessor(): if __name__ == '__main__': self = DailyPreprocessor() - self.main() \ No newline at end of file + self.main() diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 000000000..9ee2f98b7 Binary files /dev/null and b/requirements.txt differ