From b44ef171061364b22b15847db555e5f7b1e8feed Mon Sep 17 00:00:00 2001 From: govin08 Date: Tue, 9 Apr 2024 16:05:09 +0900 Subject: [PATCH] modified newly defined tables : for example, angle_new.csv. Confer to table definition v0.8.5 --- .../0405_unprotected_left.ipynb | 1951 +++- Data/tables/angle_new.csv | 49 + Data/tables/angle_original.csv | 9 - Data/tables/child_coord.csv | 2 +- Data/tables/history.csv | 8198 +++++++++-------- Data/tables/inter_info.csv | 18 +- Data/tables/inter_node.csv | 32 +- Data/tables/plan.csv | 66 +- .../raw_tables/0116_make_sample_table.ipynb | 2339 ++--- .../table_definition_v0.8.4.xlsx | Bin 75511 -> 74681 bytes .../table_definition_v0.8.5.xlsx | Bin 0 -> 74670 bytes Intermediates/match6.csv | 12 +- Results/sn_1704416700.add.xml | 56 +- Results/sn_1704417000.add.xml | 684 +- Results/sn_1704417600.add.xml | 790 +- Results/sn_1704418800.add.xml | 912 +- Results/sn_1704419700.add.xml | 30 +- .../generate_signals.cpython-38.pyc | Bin 26073 -> 26078 bytes .../preprocess_daily.cpython-38.pyc | Bin 32179 -> 32209 bytes Scripts/generate_signals.py | 4 + Scripts/preprocess_daily.py | 12 +- 21 files changed, 8278 insertions(+), 6886 deletions(-) create mode 100644 Data/tables/angle_new.csv delete mode 100644 Data/tables/angle_original.csv create mode 100644 Documents/1127_table_definition/table_definition_v0.8.5.xlsx diff --git a/Analysis/0405_unprotected_left/0405_unprotected_left.ipynb b/Analysis/0405_unprotected_left/0405_unprotected_left.ipynb index 833d8045e..528e231c1 100644 --- a/Analysis/0405_unprotected_left/0405_unprotected_left.ipynb +++ b/Analysis/0405_unprotected_left/0405_unprotected_left.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -29,7 +29,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -50,14 +50,21 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "이동류정보 불러오는 중: 100%|██████████| 17280/17280 [00:13<00:00, 1252.17it/s]\n" + "이동류정보 불러오는 중: 0%| | 0/17280 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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ex (북, 서), (서, 남) 등은 우회전 flow\n", + "self.matching = []\n", + "for node_id in self.parent_ids:\n", + " inter_no = self.node2inter[node_id]\n", + " print()\n", + " # 좌회전과 직진(1 ~ 16)\n", + " for (inc_dir, out_dir) in pflow[node_id]:\n", + " move_no = self.nema[(self.nema.inc_dir==inc_dir) & (self.nema.out_dir==out_dir)].move_no.iloc[0]\n", + " inc_edge = inc2id[(node_id, inc_dir)]\n", + " out_edge = out2id[(node_id, out_dir)]\n", + " print(node_id, inter_no, inc_dir, out_dir, move_no, inc_edge, out_edge)\n", + " new_row = pd.DataFrame({'inter_no':[inter_no], 'move_no':[move_no],\n", + " 'inc_dir':[inc_dir], 'out_dir':[out_dir],\n", + " 'inc_edge':[inc_edge], 'out_edge':[out_edge], 'node_id':[node_id]})\n", + " self.matching.append(new_row)\n", + " display(new_row)\n", + " # 보행신호(17), 전적색(18)\n", + " new_row = pd.DataFrame({'inter_no':[inter_no]*2, 'move_no':[17, 18],\n", + " 'inc_dir':[None]*2, 'out_dir':[None]*2,\n", + " 'inc_edge':[None]*2, 'out_edge':[None]*2, 'node_id':[node_id]*2})\n", + " display(new_row)\n", + " self.matching.append(new_row)\n", + " # 신호우회전(21)\n", + " for d in range(len(dires_right)-1):\n", + " inc_dir = dires_right[d]\n", + " out_dir = dires_right[d+1]\n", + " if {inc_dir, out_dir}.issubset(pdires[node_id]):\n", + " inc_edge = inc2id[(node_id, inc_dir)]\n", + " out_edge = out2id[(node_id, out_dir)]\n", + " new_row = pd.DataFrame({'inter_no':[inter_no], 'move_no':[21],\n", + " 'inc_dir':[inc_dir], 'out_dir':[out_dir],\n", + " 'inc_edge':[inc_edge], 'out_edge':[out_edge], 'node_id':[node_id]})\n", + " display(new_row)\n", + " self.matching.append(new_row)\n", + "self.matching.append(self.match7[self.match7.node_id.isin(self.child_ids)])\n", + "self.matching = pd.concat(self.matching)\n", + "self.matching = self.matching.dropna().sort_values(by=['inter_no', 'node_id', 'move_no']).reset_index(drop=True)\n", + "self.matching['move_no'] = self.matching['move_no'].astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'i0': {'남', '동', '북', '서'},\n", + " 'i1': {'남', '북', '서'},\n", + " 'i2': {'남', '동', '북', '서'},\n", + " 'i3': {'남', '동', '북', '서'},\n", + " 'i6': {'남', '동', '북', '서'},\n", + " 'i7': {'남', '북'},\n", + " 'i8': {'남', '동', '북', '서'},\n", + " 'i9': {'동', '서'}}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(pdires)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{175: {'남': '179', '북': '001', '동': '090', '서': '270'},\n", + " 176: {'남': '180', '북': '359', '서': '270'},\n", + " 177: {'남': '179', '북': '000', '서': '268', '동': '090'},\n", + " 178: {'남': '180', '북': '000', '서': '270', '동': '090'},\n", + " 201: {'남': '180', '서': '270', '동': '090', '북': '000'},\n", + " 202: {'동': '090', '서': '270'},\n", + " 206: {'남': '180', '북': '000'},\n", + " 210: {'동': '090', '서': '270', '북': '000', '남': '180'}}" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{175: {'북': '000', '남': '180', '동': '090', '서': '270'},\n", + " 176: {'북': '356', '남': '180', '서': '270'},\n", + " 177: {'북': '000', '남': '180', '동': '090', '서': '270'},\n", + " 178: {'북': '000', '남': '180', '동': '090', '서': '270'},\n", + " 201: {'북': '000', '서': '270', '동': '090', '남': '180'},\n", + " 202: {'서': '270', '동': '090'},\n", + " 206: {'북': '000', '남': '180'},\n", + " 210: {'서': '270', '북': '000', '동': '090', '남': '180'}}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inc_dir2angles = dict()\n", + "out_dir2angles = dict()\n", + "for inter_no in self.match4.inter_no.unique():\n", + " df = self.match4[self.match4.inter_no==inter_no].dropna()\n", + " inc_dir2angle = dict(zip(df['inc_dir'], df['inc_angle']))\n", + " out_dir2angle = dict(zip(df['out_dir'], df['out_angle']))\n", + " inc_dir2angles[inter_no] = inc_dir2angle\n", + " out_dir2angles[inter_no] = out_dir2angle\n", + "display(inc_dir2angles)\n", + "display(out_dir2angles)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'남'" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "'북'" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(inc_dire, out_dire)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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inter_nomove_noangle_code
01751090180
01752270090
01753179270
01754001180
01755270000
01756090270
01757001090
01758179000
01763180270
01764359180
01765270356
01768180356
01771090180
01772268090
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01774000180
01775268000
01776090270
01777000090
01778179000
01781090180
01782270090
01783180270
01784000180
01785270000
01786090270
01787000090
01788180000
02011090180
02012270090
02013180270
02014000180
02015270000
02016090270
02017000090
02018180000
02022270090
02026090270
02064000180
02068180000
02101090180
02102270090
02103180270
02104000180
02105270000
02106090270
02107000090
02108180000
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" + ], + "text/plain": [ + " inter_no move_no angle_code\n", + "0 175 1 090180\n", + "0 175 2 270090\n", + "0 175 3 179270\n", + "0 175 4 001180\n", + "0 175 5 270000\n", + "0 175 6 090270\n", + "0 175 7 001090\n", + "0 175 8 179000\n", + "0 176 3 180270\n", + "0 176 4 359180\n", + "0 176 5 270356\n", + "0 176 8 180356\n", + "0 177 1 090180\n", + "0 177 2 268090\n", + "0 177 3 179270\n", + "0 177 4 000180\n", + "0 177 5 268000\n", + "0 177 6 090270\n", + "0 177 7 000090\n", + "0 177 8 179000\n", + "0 178 1 090180\n", + "0 178 2 270090\n", + "0 178 3 180270\n", + "0 178 4 000180\n", + "0 178 5 270000\n", + "0 178 6 090270\n", + "0 178 7 000090\n", + "0 178 8 180000\n", + "0 201 1 090180\n", + "0 201 2 270090\n", + "0 201 3 180270\n", + "0 201 4 000180\n", + "0 201 5 270000\n", + "0 201 6 090270\n", + "0 201 7 000090\n", + "0 201 8 180000\n", + "0 202 2 270090\n", + "0 202 6 090270\n", + "0 206 4 000180\n", + "0 206 8 180000\n", + "0 210 1 090180\n", + "0 210 2 270090\n", + "0 210 3 180270\n", + "0 210 4 000180\n", + "0 210 5 270000\n", + "0 210 6 090270\n", + "0 210 7 000090\n", + "0 210 8 180000" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "angles = []\n", + "for inter_no in self.inter_nos:\n", + " node_id = self.inter2node[inter_no]\n", + " flows = pflow[node_id]\n", + " inc_dir2angle = inc_dir2angles[inter_no]\n", + " out_dir2angle = out_dir2angles[inter_no]\n", + " for (inc_dire, out_dire) in flows:\n", + " inc_angle = inc_dir2angle[inc_dire]\n", + " out_angle = out_dir2angle[out_dire]\n", + " angle_code = inc_angle + out_angle\n", + " nema_row = self.nema[(self.nema.inc_dir==inc_dire)&(self.nema.out_dir==out_dire)]\n", + " move_no = nema_row.iloc[0].move_no\n", + " angle = pd.DataFrame({'inter_no':[inter_no],'move_no':[move_no], 'angle_code':[angle_code]})\n", + " angles.append(angle)\n", + "angles = pd.concat(angles)\n", + "angles" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'i0': [('동', '남'),\n", + " ('서', '동'),\n", + " ('남', '서'),\n", + " ('북', '남'),\n", + " ('서', '북'),\n", + " ('동', '서'),\n", + " ('북', '동'),\n", + " ('남', '북')],\n", + " 'i1': [('남', '서'), ('북', '남'), ('서', '북'), ('남', '북')],\n", + " 'i2': [('동', '남'),\n", + " ('서', '동'),\n", + " ('남', '서'),\n", + " ('북', '남'),\n", + " ('서', '북'),\n", + " ('동', '서'),\n", + " ('북', '동'),\n", + " ('남', '북')],\n", + " 'i3': [('동', '남'),\n", + " ('서', '동'),\n", + " ('남', '서'),\n", + " ('북', '남'),\n", + " ('서', '북'),\n", + " ('동', '서'),\n", + " ('북', '동'),\n", + " ('남', '북')],\n", + " 'i6': [('동', '남'),\n", + " ('서', '동'),\n", + " ('남', '서'),\n", + " ('북', '남'),\n", + " ('서', '북'),\n", + " ('동', '서'),\n", + " ('북', '동'),\n", + " ('남', '북')],\n", + " 'i7': [('북', '남'), ('남', '북')],\n", + " 'i8': [('동', '남'),\n", + " ('서', '동'),\n", + " ('남', '서'),\n", + " ('북', '남'),\n", + " ('서', '북'),\n", + " ('동', '서'),\n", + " ('북', '동'),\n", + " ('남', '북')],\n", + " 'i9': [('서', '동'), ('동', '서')]}" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pflow" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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inter_nophase_noring_typemove_noinc_dirout_dirinc_angleout_angleinc_edgeout_edgenode_idinc_edge_idout_edge_id
01751A8남북179004-571542797_02571500487_01i0NaNNaN
11751B4북남003176-571500487_01571542797_02i0NaNNaN
21752A7북동001095-571500487_01571545870_01i0NaNNaN
31752B3남서179270-571542797_02571510153_01i0NaNNaN
41753A6동서090270571545870_02571510153_01i0NaNNaN
..........................................
32102B2서동270090NaNNaNu60NaNNaN
42103A7북동359090NaNNaNu60NaNNaN
52103B4북남000180NaNNaNu60NaNNaN
62104A8남북180000NaNNaNu60NaNNaN
72104B3남서180270NaNNaNu60NaNNaN
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116 rows × 13 columns

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inter_nomove_noinc_dirout_dirinc_edgeout_edgenode_id
01751동남571545870_02571542797_02i0
11752서동571510153_02571545870_01i0
21753남서-571542797_02571510153_01i0
31754북남-571500487_01571542797_02i0
41755서북571510153_02571500487_01i0
........................
7121021북서571511538_02.121571500535_01i6
7221021서남571500535_02.18571500585_01i6
7321021남동571500585_02571542115_01i6
7421021동북-571542115_01571511538_01i6
752105서북571500535_02-571500535_02u60
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76 rows × 7 columns

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" + ], + "text/plain": [ + " inter_no move_no inc_dir out_dir inc_edge out_edge node_id\n", + "0 175 1 동 남 571545870_02 571542797_02 i0\n", + "1 175 2 서 동 571510153_02 571545870_01 i0\n", + "2 175 3 남 서 -571542797_02 571510153_01 i0\n", + "3 175 4 북 남 -571500487_01 571542797_02 i0\n", + "4 175 5 서 북 571510153_02 571500487_01 i0\n", + ".. ... ... ... ... ... ... ...\n", + "71 210 21 북 서 571511538_02.121 571500535_01 i6\n", + "72 210 21 서 남 571500535_02.18 571500585_01 i6\n", + "73 210 21 남 동 571500585_02 571542115_01 i6\n", + "74 210 21 동 북 -571542115_01 571511538_01 i6\n", + "75 210 5 서 북 571500535_02 -571500535_02 u60\n", + "\n", + "[76 rows x 7 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(self.match6)\n", + "display(self.matching)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1. 데이터를 준비합니다.\n", + "1-1. 네트워크가 로드되었습니다.\n", + "1-2. 테이블들이 로드되었습니다.\n", + "2. 신호이력 테이블을 변환합니다.\n", + "3. 이동류정보 테이블을 변환합니다.\n", + "4. 통합 테이블을 생성합니다.\n", + "5. 신호를 생성합니다.\n", + "6. 이슈사항을 저장합니다.\n", + "(1) 0:00:00.141398\n", + "(1-1) 0:00:00.025139\n", + "(1-2) 0:00:00.061132\n", + "(1-3) 0:00:00\n", + "(1-4) 0:00:00\n", + "(1-5) 0:00:00.055127\n", + "(2) 0:00:00.294164\n", + "(2-1) 0:00:00.064693\n", + "(2-2) 0:00:00.196721\n", + "(2-3) 0:00:00.032750\n", + "(3) 0:00:00.461845\n", + "(3-1) 0:00:00.437385\n", + "(3-2) 0:00:00.024460\n", + "(4) 0:00:00.188478\n", + "(4-1) 0:00:00.006985\n", + "(4-2) 0:00:00.015015\n", + "(4-2) 0:00:00.166478\n", + "(5) 0:00:00.787933\n", + "(5-1) 0:00:00.016678\n", + "(5-2) 0:00:00.770144\n", + "(5-3) 0:00:00.001111\n", + "(6) 0:00:00\n", + "total time : 0:00:01.873818\n" + ] + } + ], + "source": [ + "sg = SignalGenerator()\n", + "sg.main()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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inter_nostart_unixphas_Aphas_Bmove_Amove_Bduration
02011704418940118333
12011704418940225236
22011704418940336225
32011704418940446158
42011704418940557418
........................
2531771704419870445140
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2571771704420050445140
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258 rows × 7 columns

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" + ], + "text/plain": [ + " inter_no start_unix phas_A phas_B move_A move_B duration\n", + "0 201 1704418940 1 1 8 3 33\n", + "1 201 1704418940 2 2 5 2 36\n", + "2 201 1704418940 3 3 6 2 25\n", + "3 201 1704418940 4 4 6 1 58\n", + "4 201 1704418940 5 5 7 4 18\n", + ".. ... ... ... ... ... ... ...\n", + "253 177 1704419870 4 4 5 1 40\n", + "254 177 1704420050 1 1 8 4 43\n", + "255 177 1704420050 2 2 7 3 27\n", + "256 177 1704420050 3 3 17 18 70\n", + "257 177 1704420050 4 4 5 1 40\n", + "\n", + "[258 rows x 7 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sg.movedur" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "60\n", + "116\n" + ] + } + ], + "source": [ + "print(len(self.match5))\n", + "print(len(self.match6))" + ] + }, { "cell_type": "code", "execution_count": 5, diff --git a/Data/tables/angle_new.csv b/Data/tables/angle_new.csv new file mode 100644 index 000000000..8d1e1aa55 --- /dev/null +++ b/Data/tables/angle_new.csv @@ -0,0 +1,49 @@ +,inter_no,move_no,angle_code +0,175,1,090180 +1,175,2,270090 +2,175,3,179270 +3,175,4,001180 +4,175,5,270000 +5,175,6,090270 +6,175,7,001090 +7,175,8,179000 +8,176,3,180270 +9,176,4,359180 +10,176,5,270356 +11,176,8,180356 +12,177,1,090180 +13,177,2,268090 +14,177,3,179270 +15,177,4,000180 +16,177,5,268000 +17,177,6,090270 +18,177,7,000090 +19,177,8,179000 +20,178,1,090180 +21,178,2,270090 +22,178,3,180270 +23,178,4,000180 +24,178,5,270000 +25,178,6,090270 +26,178,7,000090 +27,178,8,180000 +28,201,1,090180 +29,201,2,270090 +30,201,3,180270 +31,201,4,000180 +32,201,5,270000 +33,201,6,090270 +34,201,7,000090 +35,201,8,180000 +36,202,2,270090 +37,202,6,090270 +38,206,4,000180 +39,206,8,180000 +40,210,1,090180 +41,210,2,270090 +42,210,3,180270 +43,210,4,000180 +44,210,5,270000 +45,210,6,090270 +46,210,7,000090 +47,210,8,180000 diff --git a/Data/tables/angle_original.csv b/Data/tables/angle_original.csv deleted file mode 100644 index 6f1e26950..000000000 --- a/Data/tables/angle_original.csv +++ /dev/null @@ -1,9 +0,0 @@ -,inter_no,angle_A1,angle_A2,angle_A3,angle_A4,angle_A5,angle_A6,angle_A7,angle_A8,angle_B1,angle_B2,angle_B3,angle_B4,angle_B5,angle_B6,angle_B7,angle_B8 -0,175,179004,001095,090270,268000,NaN,,,,003176,179270,090180,270090,NaN,,, -1,176,180000,180000,270356,NaN,NaN,,,,359180,180270,NaN,NaN,NaN,,, -2,177,180000,000090,stop,268000,NaN,,,,001176,179270,NaN,090180,NaN,,, -3,178,180000,000090,270000,090270,NaN,,,,000180,180270,270090,090180,NaN,,, -4,201,180000,270000,090270,090270,000090,,,,180270,270090,270090,090180,000180,,, -5,202,090270,stop,NaN,NaN,NaN,,,,270090,NaN,NaN,NaN,NaN,,, -6,206,180000,stop,180000,stop,NaN,,,,000180,NaN,000180,NaN,NaN,,, -7,210,090270,268000,359090,180000,NaN,,,,NaN,270090,000180,180270,NaN,,, diff --git a/Data/tables/child_coord.csv b/Data/tables/child_coord.csv index 1bcd148bb..7461869d9 100644 --- a/Data/tables/child_coord.csv +++ b/Data/tables/child_coord.csv @@ -1,4 +1,4 @@ -parent_id,child_id,phase_no,ring_type,inc_edge,out_edge +parent_id,child_id,phase_no,ring_type,inc_edge_id,out_edge_id i3,c30,1,A,, i3,c30,1,B,, i3,c30,2,A,571542116_01,-571542116_02.96 diff --git a/Data/tables/history.csv b/Data/tables/history.csv index 5a7116dec..cbe9334ee 100644 --- a/Data/tables/history.csv +++ b/Data/tables/history.csv @@ -1,4022 +1,4176 @@ -,inter_no,end_unix,dura_A1,dura_A2,dura_A3,dura_A4,dura_A5,dura_A6,dura_A7,dura_A8,dura_B1,dura_B2,dura_B3,dura_B4,dura_B5,dura_B6,dura_B7,dura_B8,cycle,offset -0,206,1704380520,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -1,202,1704380539,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103 -2,178,1704380540,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -3,201,1704380540,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -4,177,1704380550,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 -5,210,1704380550,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115 -6,176,1704380551,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -7,175,1704380560,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57 -8,206,1704380640,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -9,201,1704380680,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -10,178,1704380680,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -11,202,1704380680,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103 -12,210,1704380700,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115 -13,176,1704380700,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -14,177,1704380701,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 -15,175,1704380721,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57 -16,206,1704380760,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -17,201,1704380819,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -18,178,1704380820,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -19,202,1704380820,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103 -20,176,1704380849,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -21,210,1704380850,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115 -22,177,1704380850,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 -23,206,1704380880,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -24,175,1704380880,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57 -25,202,1704380959,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103 -26,201,1704380960,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -27,178,1704380961,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -28,206,1704381000,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -29,210,1704381000,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115 -30,177,1704381000,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 -31,176,1704381000,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -32,202,1704381028,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103 -33,175,1704381040,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57 -34,178,1704381100,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -35,201,1704381101,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -36,206,1704381120,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -37,210,1704381150,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115 -38,177,1704381150,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 -39,176,1704381150,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -40,202,1704381170,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103 -41,175,1704381199,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57 -42,206,1704381240,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -43,201,1704381240,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -44,178,1704381240,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -45,210,1704381300,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115 -46,176,1704381300,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -47,177,1704381300,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 -48,202,1704381310,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103 -49,206,1704381360,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -50,175,1704381360,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57 -51,201,1704381380,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -52,178,1704381380,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -53,177,1704381450,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 -54,176,1704381450,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -55,210,1704381450,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115 -56,206,1704381479,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -57,201,1704381520,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133 -58,175,1704381520,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57 -59,178,1704381521,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50 -60,176,1704381600,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131 -61,206,1704381600,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10 -62,177,1704381601,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35 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-1885,178,1704416180,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1886,176,1704416180,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1887,201,1704416220,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1888,210,1704416240,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1889,202,1704416250,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1890,206,1704416310,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1891,177,1704416340,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1892,178,1704416350,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1893,175,1704416358,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1894,176,1704416361,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1895,201,1704416390,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1896,202,1704416410,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1897,210,1704416420,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1898,206,1704416459,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1899,177,1704416520,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1900,178,1704416520,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1901,175,1704416540,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1902,176,1704416540,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1903,201,1704416560,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1904,202,1704416570,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1905,210,1704416600,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1906,206,1704416610,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1907,178,1704416690,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1908,177,1704416700,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1909,176,1704416719,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1910,175,1704416720,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1911,202,1704416729,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1912,201,1704416730,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1913,206,1704416760,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1914,210,1704416780,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1915,178,1704416860,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1916,177,1704416880,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1917,202,1704416890,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1918,176,1704416900,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1919,175,1704416900,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1920,201,1704416900,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1921,206,1704416910,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1922,210,1704416960,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1923,178,1704417029,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1924,202,1704417050,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1925,177,1704417060,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1926,206,1704417060,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1927,201,1704417070,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1928,175,1704417080,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1929,176,1704417080,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1930,210,1704417140,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1931,178,1704417200,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1932,206,1704417210,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1933,202,1704417210,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1934,177,1704417240,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1935,201,1704417241,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1936,176,1704417259,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1937,175,1704417260,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1938,210,1704417320,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1939,206,1704417360,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1940,202,1704417370,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1941,178,1704417370,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1942,201,1704417410,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1943,177,1704417420,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1944,175,1704417440,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1945,176,1704417440,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1946,210,1704417500,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1947,206,1704417510,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1948,202,1704417530,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1949,178,1704417540,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1950,201,1704417580,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1951,177,1704417601,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1952,176,1704417620,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1953,175,1704417620,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1954,206,1704417659,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1955,210,1704417679,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1956,202,1704417690,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1957,178,1704417710,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1958,201,1704417750,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1959,175,1704417800,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1960,176,1704417800,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1961,206,1704417810,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1962,202,1704417850,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1963,210,1704417860,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1964,178,1704417879,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1965,177,1704417890,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1966,201,1704417919,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1967,206,1704417960,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1968,176,1704417980,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1969,175,1704417980,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1970,202,1704418010,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1971,210,1704418041,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1972,178,1704418050,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1973,177,1704418069,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1974,201,1704418090,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1975,206,1704418110,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1976,175,1704418160,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1977,176,1704418160,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1978,202,1704418170,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1979,210,1704418220,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1980,178,1704418221,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1981,177,1704418250,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1982,206,1704418260,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1983,201,1704418260,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1984,202,1704418330,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1985,176,1704418340,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1986,175,1704418340,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1987,178,1704418390,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1988,210,1704418400,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1989,206,1704418410,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1990,177,1704418430,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -1991,201,1704418430,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1992,202,1704418490,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -1993,175,1704418520,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -1994,176,1704418520,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -1995,178,1704418560,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -1996,206,1704418560,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -1997,210,1704418580,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -1998,201,1704418600,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -1999,177,1704418610,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -2000,202,1704418650,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -2001,175,1704418699,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -2002,176,1704418700,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -2003,206,1704418711,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2004,178,1704418730,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -2005,210,1704418759,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -2006,201,1704418770,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -2007,177,1704418789,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -2008,202,1704418810,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -2009,206,1704418860,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2010,176,1704418879,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -2011,175,1704418880,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -2012,178,1704418900,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -2013,201,1704418940,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -2014,210,1704418940,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -2015,202,1704418970,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -2016,177,1704418970,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -2017,206,1704419010,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2018,175,1704419060,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -2019,176,1704419060,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -2020,178,1704419070,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -2021,201,1704419110,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -2022,210,1704419120,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -2023,202,1704419129,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -2024,177,1704419150,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -2025,206,1704419160,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2026,178,1704419240,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -2027,175,1704419240,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -2028,176,1704419240,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -2029,201,1704419280,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -2030,202,1704419290,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -2031,210,1704419300,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -2032,206,1704419310,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2033,177,1704419330,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -2034,178,1704419411,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -2035,176,1704419420,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -2036,175,1704419420,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -2037,201,1704419450,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -2038,202,1704419451,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -2039,206,1704419460,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2040,210,1704419480,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -2041,177,1704419510,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -2042,178,1704419580,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -2043,175,1704419600,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28 -2044,176,1704419600,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169 -2045,202,1704419610,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 -2046,206,1704419611,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2047,201,1704419620,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134 -2048,210,1704419660,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137 -2049,177,1704419690,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41 -2050,178,1704419751,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80 -2051,206,1704419760,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17 -2052,202,1704419770,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103 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+201,1704466710,36,50,18,58,18,0,0,0,36,50,18,58,18,0,0,0,180,137 diff --git a/Data/tables/inter_info.csv b/Data/tables/inter_info.csv index a42bab0a9..95c94d4ec 100644 --- a/Data/tables/inter_info.csv +++ b/Data/tables/inter_info.csv @@ -1,9 +1,9 @@ -,inter_no,inter_name,inter_lat,inter_lon,group_no,main_phase_no -0,175,한솔삼거리(한솔마을3거리),37.36857,127.11478,3,2 -1,176,느티마을4단지,37.36724,127.1148,3,2 -2,177,한솔6단지(정자동사무소),37.36619,127.1148,3,2 -3,178,신기4거리,37.36346,127.1148,3,2 -4,201,느티마을4거리,37.36854,127.10984,3,2 -5,202,느티마을 안촌유치원,37.36855,127.11241,3,2 -6,206,상록마을 321동,37.36483,127.10981,3,2 -7,210,상록4거리(상록마을입구4거리),37.36347,127.10982,3,2 +inter_no,inter_name,inter_lat,inter_lon,group_no,main_phase_no +175,한솔삼거리(한솔마을3거리),37.36857,127.11478,3,2 +176,느티마을4단지,37.36724,127.1148,3,2 +177,한솔6단지(정자동사무소),37.36619,127.1148,3,2 +178,신기4거리,37.36346,127.1148,3,2 +201,느티마을4거리,37.36854,127.10984,3,2 +202,느티마을 안촌유치원,37.36855,127.11241,3,2 +206,상록마을 321동,37.36483,127.10981,3,2 +210,상록4거리(상록마을입구4거리),37.36347,127.10982,3,2 diff --git a/Data/tables/inter_node.csv b/Data/tables/inter_node.csv index da725a4f1..74449417f 100644 --- a/Data/tables/inter_node.csv +++ b/Data/tables/inter_node.csv @@ -1,16 +1,16 @@ -,inter_no,node_id,inter_type -0,175,i0,parent -1,175,u00,child -2,176,i1,parent -3,177,i2,parent -4,177,u20,child -5,178,i3,parent -6,178,u30,child -7,178,u31,child -8,178,u32,child -9,201,i8,parent -10,202,i9,parent -11,206,i7,parent -12,210,i6,parent -13,210,u60,child -14,178,c30,child +inter_no,node_id,inter_type +175,i0,parent +175,u00,child +176,i1,parent +177,i2,parent +177,u20,child +178,i3,parent +178,u30,child +178,u31,child +178,u32,child +201,i8,parent +202,i9,parent +206,i7,parent +210,i6,parent +210,u60,child +178,c30,child diff --git a/Data/tables/plan.csv b/Data/tables/plan.csv index 8c9f751b1..d66ec9588 100644 --- a/Data/tables/plan.csv +++ b/Data/tables/plan.csv @@ -1,33 +1,33 @@ -,inter_no,start_hour,start_minute,dura_A1,dura_A2,dura_A3,dura_A4,dura_A5,dura_A6,dura_A7,dura_A8,dura_B1,dura_B2,dura_B3,dura_B4,dura_B5,dura_B6,dura_B7,dura_B8,cycle,offset,yellow_A1,yellow_B1,yellow_A2,yellow_B2,yellow_A3,yellow_B3,yellow_A4,yellow_B4,yellow_A5,yellow_B5,yellow_A6,yellow_B6,yellow_A7,yellow_B7,yellow_A8,yellow_B8,red_A1,red_B1,red_A2,red_B2,red_A3,red_B3,red_A4,red_B4,red_A5,red_B5,red_A6,red_B6,red_A7,red_B7,red_A8,red_B8 -0,175,00,00,37,39,55,29,0,0,0,0,37,39,25,59,0,0,0,0,160,57,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -1,175,07,00,40,42,55,33,0,0,0,0,40,42,29,59,0,0,0,0,170,40,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -2,175,09,00,43,45,55,37,0,0,0,0,43,45,33,59,0,0,0,0,180,28,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -3,175,18,30,46,48,55,41,0,0,0,0,46,48,37,59,0,0,0,0,190,18,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -4,176,00,00,37,73,40,0,0,0,0,0,37,73,40,0,0,0,0,0,150,131,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -5,176,07,00,37,93,40,0,0,0,0,0,37,93,40,0,0,0,0,0,170,153,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -6,176,09,00,37,103,40,0,0,0,0,0,37,103,40,0,0,0,0,0,180,169,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -7,176,18,30,37,113,40,0,0,0,0,0,37,113,40,0,0,0,0,0,190,185,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -8,177,00,00,36,20,68,26,0,0,0,0,36,20,68,26,0,0,0,0,150,35,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -9,177,07,00,40,25,71,34,0,0,0,0,40,25,71,34,0,0,0,0,170,33,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -10,177,09,00,43,27,70,40,0,0,0,0,43,27,70,40,0,0,0,0,180,41,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -11,177,18,30,45,32,77,36,0,0,0,0,45,32,77,36,0,0,0,0,190,49,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 -12,178,00,00,38,39,40,23,0,0,0,0,38,39,40,23,0,0,0,0,140,50,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 -13,178,07,00,38,39,42,41,0,0,0,0,38,39,62,21,0,0,0,0,160,90,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 -14,178,09,00,38,39,43,50,0,0,0,0,38,39,71,22,0,0,0,0,170,80,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 -15,178,18,30,38,39,44,59,0,0,0,0,38,39,80,23,0,0,0,0,180,75,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 -16,201,00,00,24,24,17,58,17,0,0,0,24,24,17,58,17,0,0,0,140,133,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 -17,201,07,00,30,36,18,58,18,0,0,0,30,36,18,58,18,0,0,0,160,132,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 -18,201,09,00,33,36,25,58,18,0,0,0,33,36,25,58,18,0,0,0,170,134,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 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+202,00,00,39,101,0,0,0,0,0,0,39,101,0,0,0,0,0,0,140,103,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +202,07,00,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +202,09,00,46,114,0,0,0,0,0,0,46,114,0,0,0,0,0,0,160,103,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +202,18,30,48,122,0,0,0,0,0,0,48,122,0,0,0,0,0,0,170,103,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +206,00,00,33,35,26,26,0,0,0,0,33,35,26,26,0,0,0,0,120,10,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +206,07,00,44,44,26,26,0,0,0,0,44,44,26,26,0,0,0,0,140,7,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +206,09,00,45,53,26,26,0,0,0,0,45,53,26,26,0,0,0,0,150,17,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +206,18,30,46,62,26,26,0,0,0,0,46,62,26,26,0,0,0,0,160,10,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +210,00,00,43,29,56,22,0,0,0,0,24,48,56,22,0,0,0,0,150,115,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +210,07,00,43,39,65,23,0,0,0,0,24,58,65,23,0,0,0,0,170,131,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +210,09,00,43,43,70,24,0,0,0,0,28,58,70,24,0,0,0,0,180,137,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +210,18,30,43,47,75,25,0,0,0,0,24,66,75,25,0,0,0,0,190,143,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 diff --git a/Data/tables/raw_tables/0116_make_sample_table.ipynb b/Data/tables/raw_tables/0116_make_sample_table.ipynb index 7f30e8d47..cb7038def 100644 --- a/Data/tables/raw_tables/0116_make_sample_table.ipynb +++ b/Data/tables/raw_tables/0116_make_sample_table.ipynb @@ -147,7 +147,7 @@ "inter_info['group_no'] = 3\n", "inter_info['main_phase_no'] = 2\n", "display(inter_info)\n", - "inter_info.to_csv('../inter_info.csv')" + "inter_info.to_csv('../inter_info.csv', index=0)" ] }, { @@ -501,7 +501,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -1500,38 +1500,38 @@ " 0\n", " 140\n", " 133\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 17\n", @@ -1556,38 +1556,38 @@ " 0\n", " 160\n", " 132\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 18\n", @@ -1612,38 +1612,38 @@ " 0\n", " 170\n", " 134\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 19\n", @@ -1668,38 +1668,38 @@ " 0\n", " 180\n", " 137\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 20\n", @@ -1740,22 +1740,22 @@ " 4\n", " 4\n", " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 21\n", @@ -1796,22 +1796,22 @@ " 4\n", " 4\n", " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 22\n", @@ -1852,22 +1852,22 @@ " 4\n", " 4\n", " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 23\n", @@ -1908,22 +1908,22 @@ " 4\n", " 4\n", " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 24\n", @@ -1948,38 +1948,38 @@ " 0\n", " 120\n", " 10\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 25\n", @@ -2004,38 +2004,38 @@ " 0\n", " 140\n", " 7\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 26\n", @@ -2060,38 +2060,38 @@ " 0\n", " 150\n", " 17\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 27\n", @@ -2116,38 +2116,38 @@ " 0\n", " 160\n", " 10\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 5\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", + " 2\n", " \n", " \n", " 28\n", @@ -2188,22 +2188,22 @@ " 4\n", " 4\n", " 4\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 29\n", @@ -2244,22 +2244,22 @@ " 4\n", " 4\n", " 4\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 30\n", @@ -2300,22 +2300,22 @@ " 4\n", " 4\n", " 4\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 31\n", @@ -2356,22 +2356,22 @@ " 4\n", " 4\n", " 4\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", "\n", @@ -2463,18 +2463,18 @@ "13 0 0 0 0 160 90 4 4 \n", "14 0 0 0 0 170 80 4 4 \n", "15 0 0 0 0 180 75 4 4 \n", - "16 17 0 0 0 140 133 3 3 \n", - "17 18 0 0 0 160 132 3 3 \n", - "18 18 0 0 0 170 134 3 3 \n", - "19 18 0 0 0 180 137 3 3 \n", + "16 17 0 0 0 140 133 5 5 \n", + "17 18 0 0 0 160 132 5 5 \n", + "18 18 0 0 0 170 134 5 5 \n", + "19 18 0 0 0 180 137 5 5 \n", "20 0 0 0 0 140 103 4 4 \n", "21 0 0 0 0 160 103 4 4 \n", "22 0 0 0 0 160 103 4 4 \n", "23 0 0 0 0 170 103 4 4 \n", - "24 0 0 0 0 120 10 4 4 \n", - "25 0 0 0 0 140 7 4 4 \n", - "26 0 0 0 0 150 17 4 4 \n", - "27 0 0 0 0 160 10 4 4 \n", + "24 0 0 0 0 120 10 5 5 \n", + "25 0 0 0 0 140 7 5 5 \n", + "26 0 0 0 0 150 17 5 5 \n", + "27 0 0 0 0 160 10 5 5 \n", "28 0 0 0 0 150 115 4 4 \n", "29 0 0 0 0 170 131 4 4 \n", "30 0 0 0 0 180 137 4 4 \n", @@ -2497,18 +2497,18 @@ "13 4 4 4 4 4 4 \n", "14 4 4 4 4 4 4 \n", "15 4 4 4 4 4 4 \n", - "16 3 3 3 3 3 3 \n", - "17 3 3 3 3 3 3 \n", - "18 3 3 3 3 3 3 \n", - "19 3 3 3 3 3 3 \n", + "16 5 5 5 5 5 5 \n", + "17 5 5 5 5 5 5 \n", + "18 5 5 5 5 5 5 \n", + "19 5 5 5 5 5 5 \n", "20 4 4 4 4 4 4 \n", "21 4 4 4 4 4 4 \n", "22 4 4 4 4 4 4 \n", "23 4 4 4 4 4 4 \n", - "24 4 4 4 4 4 4 \n", - "25 4 4 4 4 4 4 \n", - "26 4 4 4 4 4 4 \n", - "27 4 4 4 4 4 4 \n", + "24 5 5 5 5 5 5 \n", + "25 5 5 5 5 5 5 \n", + "26 5 5 5 5 5 5 \n", + "27 5 5 5 5 5 5 \n", "28 4 4 4 4 4 4 \n", "29 4 4 4 4 4 4 \n", "30 4 4 4 4 4 4 \n", @@ -2531,18 +2531,18 @@ "13 4 4 4 4 4 4 \n", "14 4 4 4 4 4 4 \n", "15 4 4 4 4 4 4 \n", - "16 3 3 3 3 3 3 \n", - "17 3 3 3 3 3 3 \n", - "18 3 3 3 3 3 3 \n", - "19 3 3 3 3 3 3 \n", + "16 5 5 5 5 5 5 \n", + "17 5 5 5 5 5 5 \n", + "18 5 5 5 5 5 5 \n", + "19 5 5 5 5 5 5 \n", "20 4 4 4 4 4 4 \n", "21 4 4 4 4 4 4 \n", "22 4 4 4 4 4 4 \n", "23 4 4 4 4 4 4 \n", - "24 4 4 4 4 4 4 \n", - "25 4 4 4 4 4 4 \n", - "26 4 4 4 4 4 4 \n", - "27 4 4 4 4 4 4 \n", + "24 5 5 5 5 5 5 \n", + "25 5 5 5 5 5 5 \n", + "26 5 5 5 5 5 5 \n", + "27 5 5 5 5 5 5 \n", "28 4 4 4 4 4 4 \n", "29 4 4 4 4 4 4 \n", "30 4 4 4 4 4 4 \n", @@ -2565,22 +2565,22 @@ "13 4 4 2 2 2 2 2 2 \n", "14 4 4 2 2 2 2 2 2 \n", "15 4 4 2 2 2 2 2 2 \n", - "16 3 3 2 2 2 2 2 2 \n", - "17 3 3 2 2 2 2 2 2 \n", - "18 3 3 2 2 2 2 2 2 \n", - "19 3 3 2 2 2 2 2 2 \n", - "20 4 4 1 1 1 1 1 1 \n", - "21 4 4 1 1 1 1 1 1 \n", - "22 4 4 1 1 1 1 1 1 \n", - "23 4 4 1 1 1 1 1 1 \n", - "24 4 4 1 1 1 1 1 1 \n", - "25 4 4 1 1 1 1 1 1 \n", - "26 4 4 1 1 1 1 1 1 \n", - "27 4 4 1 1 1 1 1 1 \n", - "28 4 4 2 2 2 2 2 2 \n", - "29 4 4 2 2 2 2 2 2 \n", - "30 4 4 2 2 2 2 2 2 \n", - "31 4 4 2 2 2 2 2 2 \n", + "16 5 5 1 1 1 1 1 1 \n", + "17 5 5 1 1 1 1 1 1 \n", + "18 5 5 1 1 1 1 1 1 \n", + "19 5 5 1 1 1 1 1 1 \n", + "20 4 4 2 2 2 2 2 2 \n", + "21 4 4 2 2 2 2 2 2 \n", + "22 4 4 2 2 2 2 2 2 \n", + "23 4 4 2 2 2 2 2 2 \n", + "24 5 5 2 2 2 2 2 2 \n", + "25 5 5 2 2 2 2 2 2 \n", + "26 5 5 2 2 2 2 2 2 \n", + "27 5 5 2 2 2 2 2 2 \n", + "28 4 4 1 1 1 1 1 1 \n", + "29 4 4 1 1 1 1 1 1 \n", + "30 4 4 1 1 1 1 1 1 \n", + "31 4 4 1 1 1 1 1 1 \n", "\n", " red_A4 red_B4 red_A5 red_B5 red_A6 red_B6 red_A7 red_B7 red_A8 \\\n", "0 1 1 1 1 1 1 1 1 1 \n", @@ -2599,22 +2599,22 @@ "13 2 2 2 2 2 2 2 2 2 \n", "14 2 2 2 2 2 2 2 2 2 \n", "15 2 2 2 2 2 2 2 2 2 \n", - "16 2 2 2 2 2 2 2 2 2 \n", - "17 2 2 2 2 2 2 2 2 2 \n", - "18 2 2 2 2 2 2 2 2 2 \n", - "19 2 2 2 2 2 2 2 2 2 \n", - "20 1 1 1 1 1 1 1 1 1 \n", - "21 1 1 1 1 1 1 1 1 1 \n", - "22 1 1 1 1 1 1 1 1 1 \n", - "23 1 1 1 1 1 1 1 1 1 \n", - "24 1 1 1 1 1 1 1 1 1 \n", - "25 1 1 1 1 1 1 1 1 1 \n", - "26 1 1 1 1 1 1 1 1 1 \n", - "27 1 1 1 1 1 1 1 1 1 \n", - "28 2 2 2 2 2 2 2 2 2 \n", - "29 2 2 2 2 2 2 2 2 2 \n", - "30 2 2 2 2 2 2 2 2 2 \n", - "31 2 2 2 2 2 2 2 2 2 \n", + "16 1 1 1 1 1 1 1 1 1 \n", + "17 1 1 1 1 1 1 1 1 1 \n", + "18 1 1 1 1 1 1 1 1 1 \n", + "19 1 1 1 1 1 1 1 1 1 \n", + "20 2 2 2 2 2 2 2 2 2 \n", + "21 2 2 2 2 2 2 2 2 2 \n", + "22 2 2 2 2 2 2 2 2 2 \n", + "23 2 2 2 2 2 2 2 2 2 \n", + "24 2 2 2 2 2 2 2 2 2 \n", + "25 2 2 2 2 2 2 2 2 2 \n", + "26 2 2 2 2 2 2 2 2 2 \n", + "27 2 2 2 2 2 2 2 2 2 \n", + "28 1 1 1 1 1 1 1 1 1 \n", + "29 1 1 1 1 1 1 1 1 1 \n", + "30 1 1 1 1 1 1 1 1 1 \n", + "31 1 1 1 1 1 1 1 1 1 \n", "\n", " red_B8 \n", "0 1 \n", @@ -2633,22 +2633,22 @@ "13 2 \n", "14 2 \n", "15 2 \n", - "16 2 \n", - "17 2 \n", - "18 2 \n", - "19 2 \n", - "20 1 \n", - "21 1 \n", - "22 1 \n", - "23 1 \n", - "24 1 \n", - "25 1 \n", - "26 1 \n", - "27 1 \n", - "28 2 \n", - "29 2 \n", - "30 2 \n", - "31 2 " + "16 1 \n", + "17 1 \n", + "18 1 \n", + "19 1 \n", + "20 2 \n", + "21 2 \n", + "22 2 \n", + "23 2 \n", + "24 2 \n", + "25 2 \n", + "26 2 \n", + "27 2 \n", + "28 1 \n", + "29 1 \n", + "30 1 \n", + "31 1 " ] }, "metadata": {}, @@ -2689,7 +2689,7 @@ " for ring in ['A', 'B']:\n", " plan[f'red_{ring}{phase}'] = plan['inter_no'].map(inter2red)\n", "\n", - "plan.to_csv('../plan.csv')\n", + "plan.to_csv('../plan.csv', index=0)\n", "pland = plan.copy()\n", "cums_A = np.array(pland[[f'dura_A{k}' for k in range(1,9)]].cumsum(axis=1))\n", "cums_B = np.array(pland[[f'dura_B{k}' for k in range(1,9)]].cumsum(axis=1))\n", @@ -2706,9 +2706,7 @@ "pland = pland[['inter_no', 'start_hour', 'start_minute'] + [f'ddur_{i}' for i in range(1,9)] + ['cycle', 'offset']] # plan detailed\n", "pland[[f'ddur_{i}' for i in range(1,9)]] = pland[[f'ddur_{i}' for i in range(1,9)]].astype(int)\n", "with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n", - " display(plan)\n", - "# pland.to_csv('../pland.csv')\n", - "# display(pland)" + " display(plan)" ] }, { @@ -2763,7 +2761,7 @@ " \n", " 0\n", " 206\n", - " 1704380520\n", + " 1704380521\n", " 33\n", " 35\n", " 26\n", @@ -2786,7 +2784,7 @@ " \n", " 1\n", " 202\n", - " 1704380539\n", + " 1704380540\n", " 39\n", " 101\n", " 0\n", @@ -2808,6 +2806,29 @@ " \n", " \n", " 2\n", + " 201\n", + " 1704380540\n", + " 24\n", + " 24\n", + " 17\n", + " 58\n", + " 17\n", + " 0\n", + " 0\n", + " 0\n", + " 24\n", + " 24\n", + " 17\n", + " 58\n", + " 17\n", + " 0\n", + " 0\n", + " 0\n", + " 140\n", + " 133\n", + " \n", + " \n", + " 3\n", " 178\n", " 1704380540\n", " 38\n", @@ -2830,30 +2851,30 @@ " 50\n", " \n", " \n", - " 3\n", - " 201\n", - " 1704380540\n", - " 24\n", - " 24\n", - " 17\n", - " 58\n", - " 17\n", + " 4\n", + " 176\n", + " 1704380550\n", + " 37\n", + " 73\n", + " 40\n", " 0\n", " 0\n", " 0\n", - " 24\n", - " 24\n", - " 17\n", - " 58\n", - " 17\n", " 0\n", " 0\n", + " 37\n", + " 73\n", + " 40\n", " 0\n", - " 140\n", - " 133\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 150\n", + " 131\n", " \n", " \n", - " 4\n", + " 5\n", " 177\n", " 1704380550\n", " 36\n", @@ -2876,7 +2897,7 @@ " 35\n", " \n", " \n", - " 5\n", + " 6\n", " 210\n", " 1704380550\n", " 43\n", @@ -2899,29 +2920,6 @@ " 115\n", " \n", " \n", - " 6\n", - " 176\n", - " 1704380551\n", - " 37\n", - " 73\n", - " 40\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 37\n", - " 73\n", - " 40\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 150\n", - " 131\n", - " \n", - " \n", " 7\n", " 175\n", " 1704380560\n", @@ -2969,6 +2967,29 @@ " \n", " \n", " 9\n", + " 178\n", + " 1704380680\n", + " 38\n", + " 39\n", + " 40\n", + " 23\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 38\n", + " 39\n", + " 40\n", + " 23\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 140\n", + " 50\n", + " \n", + " \n", + " 10\n", " 201\n", " 1704380680\n", " 24\n", @@ -2991,53 +3012,53 @@ " 133\n", " \n", " \n", - " 10\n", - " 178\n", - " 1704380680\n", - " 38\n", - " 39\n", + " 11\n", + " 176\n", + " 1704380700\n", + " 37\n", + " 73\n", " 40\n", - " 23\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 38\n", - " 39\n", + " 0\n", + " 37\n", + " 73\n", " 40\n", - " 23\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 140\n", - " 50\n", + " 0\n", + " 150\n", + " 131\n", " \n", " \n", - " 11\n", - " 202\n", - " 1704380680\n", - " 39\n", - " 101\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 12\n", + " 177\n", + " 1704380700\n", + " 36\n", + " 20\n", + " 68\n", + " 26\n", " 0\n", " 0\n", - " 39\n", - " 101\n", " 0\n", " 0\n", + " 36\n", + " 20\n", + " 68\n", + " 26\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 140\n", - " 103\n", + " 150\n", + " 35\n", " \n", " \n", - " 12\n", + " 13\n", " 210\n", " 1704380700\n", " 43\n", @@ -3060,55 +3081,9 @@ " 115\n", " \n", " \n", - " 13\n", - " 176\n", - " 1704380700\n", - " 37\n", - " 73\n", - " 40\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 37\n", - " 73\n", - " 40\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 150\n", - " 131\n", - " \n", - " \n", " 14\n", - " 177\n", - " 1704380701\n", - " 36\n", - " 20\n", - " 68\n", - " 26\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 36\n", - " 20\n", - " 68\n", - " 26\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 150\n", - " 35\n", - " \n", - " \n", - " 15\n", " 175\n", - " 1704380721\n", + " 1704380720\n", " 37\n", " 39\n", " 55\n", @@ -3129,7 +3104,7 @@ " 57\n", " \n", " \n", - " 16\n", + " 15\n", " 206\n", " 1704380760\n", " 33\n", @@ -3152,9 +3127,32 @@ " 10\n", " \n", " \n", + " 16\n", + " 178\n", + " 1704380820\n", + " 38\n", + " 39\n", + " 40\n", + " 23\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 38\n", + " 39\n", + " 40\n", + " 23\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 140\n", + " 50\n", + " \n", + " \n", " 17\n", " 201\n", - " 1704380819\n", + " 1704380820\n", " 24\n", " 24\n", " 17\n", @@ -3176,49 +3174,49 @@ " \n", " \n", " 18\n", - " 178\n", - " 1704380820\n", - " 38\n", - " 39\n", - " 40\n", - " 23\n", + " 177\n", + " 1704380850\n", + " 36\n", + " 20\n", + " 68\n", + " 26\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 38\n", - " 39\n", - " 40\n", - " 23\n", + " 36\n", + " 20\n", + " 68\n", + " 26\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 140\n", - " 50\n", + " 150\n", + " 35\n", " \n", " \n", " 19\n", - " 202\n", - " 1704380820\n", - " 39\n", - " 101\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 210\n", + " 1704380850\n", + " 43\n", + " 29\n", + " 56\n", + " 22\n", " 0\n", " 0\n", - " 39\n", - " 101\n", " 0\n", " 0\n", + " 24\n", + " 48\n", + " 56\n", + " 22\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 140\n", - " 103\n", + " 150\n", + " 115\n", " \n", " \n", "\n", @@ -3226,70 +3224,70 @@ ], "text/plain": [ " inter_no end_unix dura_A1 dura_A2 dura_A3 dura_A4 dura_A5 dura_A6 \\\n", - "0 206 1704380520 33 35 26 26 0 0 \n", - "1 202 1704380539 39 101 0 0 0 0 \n", - "2 178 1704380540 38 39 40 23 0 0 \n", - "3 201 1704380540 24 24 17 58 17 0 \n", - "4 177 1704380550 36 20 68 26 0 0 \n", - "5 210 1704380550 43 29 56 22 0 0 \n", - "6 176 1704380551 37 73 40 0 0 0 \n", + "0 206 1704380521 33 35 26 26 0 0 \n", + "1 202 1704380540 39 101 0 0 0 0 \n", + "2 201 1704380540 24 24 17 58 17 0 \n", + "3 178 1704380540 38 39 40 23 0 0 \n", + "4 176 1704380550 37 73 40 0 0 0 \n", + "5 177 1704380550 36 20 68 26 0 0 \n", + "6 210 1704380550 43 29 56 22 0 0 \n", "7 175 1704380560 37 39 55 29 0 0 \n", "8 206 1704380640 33 35 26 26 0 0 \n", - "9 201 1704380680 24 24 17 58 17 0 \n", - "10 178 1704380680 38 39 40 23 0 0 \n", - "11 202 1704380680 39 101 0 0 0 0 \n", - "12 210 1704380700 43 29 56 22 0 0 \n", - "13 176 1704380700 37 73 40 0 0 0 \n", - "14 177 1704380701 36 20 68 26 0 0 \n", - "15 175 1704380721 37 39 55 29 0 0 \n", - "16 206 1704380760 33 35 26 26 0 0 \n", - "17 201 1704380819 24 24 17 58 17 0 \n", - "18 178 1704380820 38 39 40 23 0 0 \n", - "19 202 1704380820 39 101 0 0 0 0 \n", + "9 178 1704380680 38 39 40 23 0 0 \n", + "10 201 1704380680 24 24 17 58 17 0 \n", + "11 176 1704380700 37 73 40 0 0 0 \n", + "12 177 1704380700 36 20 68 26 0 0 \n", + "13 210 1704380700 43 29 56 22 0 0 \n", + "14 175 1704380720 37 39 55 29 0 0 \n", + "15 206 1704380760 33 35 26 26 0 0 \n", + "16 178 1704380820 38 39 40 23 0 0 \n", + "17 201 1704380820 24 24 17 58 17 0 \n", + "18 177 1704380850 36 20 68 26 0 0 \n", + "19 210 1704380850 43 29 56 22 0 0 \n", "\n", " dura_A7 dura_A8 dura_B1 dura_B2 dura_B3 dura_B4 dura_B5 dura_B6 dura_B7 \\\n", "0 0 0 33 35 26 26 0 0 0 \n", "1 0 0 39 101 0 0 0 0 0 \n", - "2 0 0 38 39 40 23 0 0 0 \n", - "3 0 0 24 24 17 58 17 0 0 \n", - "4 0 0 36 20 68 26 0 0 0 \n", - "5 0 0 24 48 56 22 0 0 0 \n", - "6 0 0 37 73 40 0 0 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\n", - "3 0 140 133 \n", - "4 0 150 35 \n", - "5 0 150 115 \n", - "6 0 150 131 \n", + "2 0 140 133 \n", + "3 0 140 50 \n", + "4 0 150 131 \n", + "5 0 150 35 \n", + "6 0 150 115 \n", "7 0 160 57 \n", "8 0 120 10 \n", - "9 0 140 133 \n", - "10 0 140 50 \n", - "11 0 140 103 \n", - "12 0 150 115 \n", - "13 0 150 131 \n", - "14 0 150 35 \n", - "15 0 160 57 \n", - "16 0 120 10 \n", + "9 0 140 50 \n", + "10 0 140 133 \n", + "11 0 150 131 \n", + "12 0 150 35 \n", + "13 0 150 115 \n", + "14 0 160 57 \n", + "15 0 120 10 \n", + "16 0 140 50 \n", "17 0 140 133 \n", - "18 0 140 50 \n", - "19 0 140 103 " + "18 0 150 35 \n", + "19 0 150 115 " ] }, "execution_count": 7, @@ -3336,7 +3334,7 @@ "history = history[history.end_unix <= next_day]\n", "history = history.sort_values(by='end_unix').reset_index(drop=True)\n", "history = history[['inter_no', 'end_unix'] + [f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)] + ['cycle', 'offset']]\n", - "history.to_csv('../history.csv')\n", + "history.to_csv('../history.csv', index=0)\n", "history[:20]" ] }, @@ -3550,7 +3548,7 @@ "inter_node.columns = ['inter_no', 'node_id', 'inter_type'] # parent : 주교차로, child : 부교차로\n", "inter_node['inter_no'] = inter_node['inter_no'].astype(int) # i : intersection, u : u-turn intersection, c : coupling intersection\n", "inter_node = pd.concat([inter_node, pd.DataFrame({'inter_no':[178], 'node_id':['c30'], 'inter_type':['child']})]).reset_index(drop=True)\n", - "inter_node.to_csv('../inter_node.csv')\n", + "inter_node.to_csv('../inter_node.csv', index=0)\n", "display(inter_node)" ] }, @@ -3560,9 +3558,10 @@ "metadata": {}, "outputs": [], "source": [ - "# 부교차로 정보\n", - "# 지금은 생략 (23. 1. 9. 09:32)\n", - "# (23. 1. 18)" + "import sys\n", + "sys.path.append('../../../Scripts')\n", + "\n", + "from preprocess_daily import DailyPreprocessor" ] }, { @@ -3571,936 +3570,112 @@ "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " inter_no start_hour start_minute dura_A1 dura_A2 dura_A3 dura_A4 \\\n", - "0 175 00 00 37 39 55 29 \n", - "1 175 07 00 40 42 55 33 \n", - "2 175 09 00 43 45 55 37 \n", - "3 175 18 30 46 48 55 41 \n", - "4 176 00 00 37 73 40 0 \n", - "5 176 07 00 37 93 40 0 \n", - "6 176 09 00 37 103 40 0 \n", - "7 176 18 30 37 113 40 0 \n", - "8 177 00 00 36 20 68 26 \n", - "9 177 07 00 40 25 71 34 \n", - "10 177 09 00 43 27 70 40 \n", - "11 177 18 30 45 32 77 36 \n", - "12 178 00 00 38 39 40 23 \n", - "13 178 07 00 38 39 42 41 \n", - "14 178 09 00 38 39 43 50 \n", - "15 178 18 30 38 39 44 59 \n", - "16 201 00 00 24 24 17 58 \n", - "17 201 07 00 30 36 18 58 \n", - "18 201 09 00 33 36 25 58 \n", - "19 201 18 30 36 50 18 58 \n", - "20 202 00 00 39 101 0 0 \n", - "21 202 07 00 46 114 0 0 \n", - "22 202 09 00 46 114 0 0 \n", - "23 202 18 30 48 122 0 0 \n", - "24 206 00 00 33 35 26 26 \n", - "25 206 07 00 44 44 26 26 \n", - "26 206 09 00 45 53 26 26 \n", - "27 206 18 30 46 62 26 26 \n", - "28 210 00 00 43 29 56 22 \n", - "29 210 07 00 43 39 65 23 \n", - "30 210 09 00 43 43 70 24 \n", - "31 210 18 30 43 47 75 25 \n", - "\n", - " dura_A5 dura_A6 dura_A7 ... dura_B2 dura_B3 dura_B4 dura_B5 \\\n", - "0 0 0 0 ... 39 25 59 0 \n", - "1 0 0 0 ... 42 29 59 0 \n", - "2 0 0 0 ... 45 33 59 0 \n", - "3 0 0 0 ... 48 37 59 0 \n", - "4 0 0 0 ... 73 40 0 0 \n", - "5 0 0 0 ... 93 40 0 0 \n", - "6 0 0 0 ... 103 40 0 0 \n", - "7 0 0 0 ... 113 40 0 0 \n", - "8 0 0 0 ... 20 68 26 0 \n", - "9 0 0 0 ... 25 71 34 0 \n", - "10 0 0 0 ... 27 70 40 0 \n", - "11 0 0 0 ... 32 77 36 0 \n", - "12 0 0 0 ... 39 40 23 0 \n", - "13 0 0 0 ... 39 62 21 0 \n", - "14 0 0 0 ... 39 71 22 0 \n", - "15 0 0 0 ... 39 80 23 0 \n", - "16 17 0 0 ... 24 17 58 17 \n", - "17 18 0 0 ... 36 18 58 18 \n", - "18 18 0 0 ... 36 25 58 18 \n", - "19 18 0 0 ... 50 18 58 18 \n", - "20 0 0 0 ... 101 0 0 0 \n", - "21 0 0 0 ... 114 0 0 0 \n", - "22 0 0 0 ... 114 0 0 0 \n", - "23 0 0 0 ... 122 0 0 0 \n", - "24 0 0 0 ... 35 26 26 0 \n", - "25 0 0 0 ... 44 26 26 0 \n", - "26 0 0 0 ... 53 26 26 0 \n", - "27 0 0 0 ... 62 26 26 0 \n", - "28 0 0 0 ... 48 56 22 0 \n", - "29 0 0 0 ... 58 65 23 0 \n", - "30 0 0 0 ... 58 70 24 0 \n", - "31 0 0 0 ... 66 75 25 0 \n", - "\n", - " dura_B6 dura_B7 dura_B8 cycle offset end_unix \n", - "0 0 0 0 160 57 1704380400 \n", - "1 0 0 0 170 40 1704405600 \n", - "2 0 0 0 180 28 1704412800 \n", - "3 0 0 0 190 18 1704447000 \n", - "4 0 0 0 150 131 1704380400 \n", - "5 0 0 0 170 153 1704405600 \n", - "6 0 0 0 180 169 1704412800 \n", - "7 0 0 0 190 185 1704447000 \n", - "8 0 0 0 150 35 1704380400 \n", - "9 0 0 0 170 33 1704405600 \n", - "10 0 0 0 180 41 1704412800 \n", - "11 0 0 0 190 49 1704447000 \n", - "12 0 0 0 140 50 1704380400 \n", - "13 0 0 0 160 90 1704405600 \n", - "14 0 0 0 170 80 1704412800 \n", - "15 0 0 0 180 75 1704447000 \n", - "16 0 0 0 140 133 1704380400 \n", - "17 0 0 0 160 132 1704405600 \n", - "18 0 0 0 170 134 1704412800 \n", - "19 0 0 0 180 137 1704447000 \n", - "20 0 0 0 140 103 1704380400 \n", - "21 0 0 0 160 103 1704405600 \n", - "22 0 0 0 160 103 1704412800 \n", - "23 0 0 0 170 103 1704447000 \n", - "24 0 0 0 120 10 1704380400 \n", - "25 0 0 0 140 7 1704405600 \n", - "26 0 0 0 150 17 1704412800 \n", - "27 0 0 0 160 10 1704447000 \n", - "28 0 0 0 150 115 1704380400 \n", - "29 0 0 0 170 131 1704405600 \n", - "30 0 0 0 180 137 1704412800 \n", - "31 0 0 0 190 143 1704447000 \n", - "\n", - "[32 rows x 22 columns]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "1. 데이터를 로드합니다.\n", + "1-1. 네트워크가 로드되었습니다.\n", + "1-2. 테이블들이 로드되었습니다.\n", + "1-3. 네트워크의 모든 clean state requirement들을 체크했습니다.\n", + "1-4. 테이블들의 무결성 검사를 완료했습니다.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "이동류정보 불러오는 중: 100%|██████████| 17280/17280 [00:13<00:00, 1265.14it/s]\n" + ] } ], "source": [ - "plan" + "self = DailyPreprocessor()\n", + "\n", + "self.load_data()\n", + "self.make_match1()\n", + "self.make_match2()\n", + "self.make_match3()\n", + "self.make_match4()\n", + "self.make_match5()\n", + "self.make_match6()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "self.match7 = self.match6.copy()\n", + "self.match7 = self.match7[['inter_no', 'move_no', 'inc_dir', 'out_dir', 'inc_edge', 'out_edge', 'node_id']]\n", + "\n", + "# parent_ids = sorted(self.inter_node[self.inter_node.inter_type=='parent'].node_id.unique())\n", + "# child_ids = sorted(self.inter_node[self.inter_node.inter_type=='child'].node_id.unique())\n", + "\n", + "# (1) 가능한 (진입방향, 진출방향) 목록 \n", + "flows = self.nema.dropna().apply(lambda row: (row['inc_dir'], row['out_dir']), axis=1).tolist()\n", + "# (2) 각 교차로별 방향 목록 : pdires (possible directions)\n", + "pdires = {}\n", + "for node_id in self.parent_ids:\n", + " dires = self.match7[self.match7.node_id == node_id][['inc_dir','out_dir']].values.flatten()\n", + " dires = {dire for dire in dires if type(dire)==str}\n", + " pdires[node_id] = dires\n", + "# (3) 각 (교차로, 진입방향) 별 진입id 목록 : inc2id (incoming direction to incoming edge_id)\n", + "inc2id = {}\n", + "for node_id in self.parent_ids:\n", + " for inc_dir in pdires[node_id]:\n", + " df = self.match7[(self.match7.node_id==node_id) & (self.match7.inc_dir==inc_dir)]\n", + " inc2id[(node_id, inc_dir)] = df.inc_edge.iloc[0]\n", + "# (4) 각 (교차로, 진출방향) 별 진출id 목록 : out2id (outgoing direction to outgoing edge_id)\n", + "out2id = {}\n", + "for node_id in self.parent_ids:\n", + " for out_dir in pdires[node_id]:\n", + " df = self.match7[(self.match7.node_id==node_id) & (self.match7.out_dir==out_dir)]\n", + " out2id[(node_id, out_dir)] = df.out_edge.iloc[0]\n", + "# (5) 각 교차로별 가능한 (진입방향, 진출방향) 목록 : pflow (possible flows)\n", + "pflow = {}\n", + "for node_id in self.parent_ids:\n", + " pflow[node_id] = [flow for flow in flows if set(flow).issubset(pdires[node_id])]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "inc_dir2angles = dict()\n", + "out_dir2angles = dict()\n", + "for inter_no in self.match4.inter_no.unique():\n", + " df = self.match4[self.match4.inter_no==inter_no].dropna()\n", + " inc_dir2angle = dict(zip(df['inc_dir'], df['inc_angle']))\n", + " out_dir2angle = dict(zip(df['out_dir'], df['out_angle']))\n", + " inc_dir2angles[inter_no] = inc_dir2angle\n", + " out_dir2angles[inter_no] = out_dir2angle" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "angles = []\n", + "for inter_no in self.inter_nos:\n", + " node_id = self.inter2node[inter_no]\n", + " flows = pflow[node_id]\n", + " inc_dir2angle = inc_dir2angles[inter_no]\n", + " out_dir2angle = out_dir2angles[inter_no]\n", + " for (inc_dire, out_dire) in flows:\n", + " inc_angle = inc_dir2angle[inc_dire]\n", + " out_angle = out_dir2angle[out_dire]\n", + " angle_code = inc_angle + out_angle\n", + " nema_row = self.nema[(self.nema.inc_dir==inc_dire)&(self.nema.out_dir==out_dire)]\n", + " move_no = nema_row.iloc[0].move_no\n", + " angle = pd.DataFrame({'inter_no':[inter_no],'move_no':[move_no], 'angle_code':[angle_code]})\n", + " angles.append(angle)\n", + "angles = pd.concat(angles).reset_index(drop=True)\n", + "angles.to_csv('../angle_new.csv')" ] } ], 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 747f6f8c188b0234496033f12c0a54146b344dca..0247e1f0b432953e7d1d86db13618e70fd2853ed 100644 GIT binary patch delta 32001 zcmZsCWmMkWmN3u)#p#0=r?|VjySux)dy2ceLvi=wP~0hQ#oeV?@$Y%>+?l!GTJs~x zI?494EjcF-lONlLKh|Nu!iArG!bkiF0a2Pn080)ukdBkw8*8a^#MAbklG9;NXnxTV zx!sNxuNTp@r1GOl7A91-EC^Y@FAixyZ+~9RoAZ1Zxs*)ZB`t1U`Qo#e(e^OW=JKm+ z6=;$*KF+SoHn-9d_sOJ9U>y<8oLc=8CSp);Ms>)Ep$=Hkn<`wG)1oE 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a/Scripts/__pycache__/generate_signals.cpython-38.pyc b/Scripts/__pycache__/generate_signals.cpython-38.pyc index c83ea73df08b8a552ab07001c177cb7cc1ea78fd..465ad9bea4f79d5d70994a32e3e97619844a5d73 100644 GIT binary patch delta 181 zcmcb4n(^LgM!ry9UM>b82%jL5HhbGfzI`l=;gip@D2kXEn8ugp6%^%{q$Zc7ro`u@ zrj=~|%i>|j$g+d5DGDGwsm{R$QZg=-eVIZ zW6I`Bo^O~LOE>TLtzu-{vf0YNgNgCd=EH$OjEws>iv_=CXS}(YDf$)@qtxcRvF{ie fwKt!Mzrf6Bws~%HF(b1ahvH=6)Ptb8@Okkn_3YM-eEV1!gC?J4QRFu=G>%WLD9B07ODxIE&)dwz z>S4#owAtJF4wJMI69YrB21pwt3nLdJAEOeJ03#a^3NdbWa(l?g7`R!*V-q7|!shFq zZVr1N~+1|f{iSgX#6M;dDjJq~V2ft=#ytN(2B?mJy%W%j~mPkFw8p#2)2LJ-}H}3!d diff --git a/Scripts/__pycache__/preprocess_daily.cpython-38.pyc b/Scripts/__pycache__/preprocess_daily.cpython-38.pyc index 33f5057ccd2aecf7adb47902aca024216c1fd352..cb237c02429978495b2b8b7dc0d5fd97c91988ed 100644 GIT binary patch delta 265 zcmdn|oAKgrM&3|fUM>b8$l5QGc4H&&8+T@n6wS$h-0fMlf*CZmH#>Mt=4CJX0aQ`+ zbMuAJ?E;J*5K8BK+21#7soL~4afL>GwF2rgutz*y7=W($GX#W5WWSpo|LK{BtdK{xoWwArbyH>0ZG1EULeU|%Lg`v7ibDokpzf6c|}IJ zp=60vmh=J{ph>bRd<&UU_?wyfMQVjhb8Xo?h0+qIGRjXSegiumL|?)I!2!3>(3n;kqR^KQNyxJqDE0+N^}FcnFFOqjeWBivBDL?TOafm8=WmUIf=LZ%e{W~P3TTEP;T z1+qXfrW(P8OpFZS45kc$3_%PL3?*`#tunJ%809A~%`KQLpJ&4;G&v?OZu5~mUVZ>B ClSC;1 diff --git a/Scripts/generate_signals.py b/Scripts/generate_signals.py index 5b43b9f28..d42c33874 100644 --- a/Scripts/generate_signals.py +++ b/Scripts/generate_signals.py @@ -538,6 +538,8 @@ class SignalGenerator(): self.histid = self.histid[self.histid.start_unix > histid_start] mapping_dict = self.matching.set_index(['node_id', 'move_no'])['state'].to_dict() + # matching : 가능한 모든 (노드id, 이동류번호)에 대한 신호 * 시차제와 연관 有 + for i, row in self.histid.iterrows(): node_id = row.node_id @@ -569,6 +571,8 @@ class SignalGenerator(): phas_A = row.phas_A phas_B = row.phas_B new_match = self.match6[self.match6.node_id==child_id] + # match6 : (노드id, 현시, 링)에 대한 (이동류번호, 신호) + Arow = new_match[(new_match.phase_no==phas_A) & (new_match.ring_type=='A')] # A링의 state 지정 diff --git a/Scripts/preprocess_daily.py b/Scripts/preprocess_daily.py index 3aaf26195..835509686 100644 --- a/Scripts/preprocess_daily.py +++ b/Scripts/preprocess_daily.py @@ -511,7 +511,7 @@ class DailyPreprocessor(): self.coord = self.coord.rename(columns={'child_id':'node_id'}) self.coord[['inc_dir', 'out_dir', 'inc_angle','out_angle']] = np.nan self.coord['move_no'] = 20 - self.coord = self.coord[['inter_no', 'phase_no', 'ring_type', 'move_no', 'inc_dir', 'out_dir', 'inc_angle','out_angle', 'inc_edge', 'out_edge', 'node_id']] + self.coord = self.coord[['inter_no', 'phase_no', 'ring_type', 'move_no', 'inc_dir', 'out_dir', 'inc_angle','out_angle', 'inc_edge_id', 'out_edge_id', 'node_id']] # display(coord) cmatches = pd.concat(cmatches) @@ -667,11 +667,11 @@ class DailyPreprocessor(): # 연등교차로 for _, row in self.coord.iterrows(): node_id = row.node_id - inc_edge = row.inc_edge - out_edge = row.out_edge - if not (pd.isna(inc_edge) and pd.isna(out_edge)): - inc_edge = self.net.getEdge(inc_edge) - out_edge = self.net.getEdge(out_edge) + inc_edge_id = row.inc_edge_id + out_edge_id = row.out_edge_id + if not (pd.isna(inc_edge_id) and pd.isna(out_edge_id)): + inc_edge = self.net.getEdge(inc_edge_id) + out_edge = self.net.getEdge(out_edge_id) for conn in inc_edge.getConnections(out_edge): index = conn.getTLLinkIndex() if index >= 0: