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144 lines
5.0 KiB
144 lines
5.0 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os, random, sumolib\n",
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"import sumolib\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"from datetime import datetime"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"path_root = os.path.dirname(os.path.dirname(os.path.abspath('.')))\n",
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"path_dayplan = os.path.join(path_root, 'data', 'tables', '20240729', 'TC_IF_TOD_DAY_PLAN.csv')\n",
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"path_sigl_cycl = os.path.join(path_root, 'test_0729', 'data', 'tables', 'TL_IF_SIGL_CYCL.csv')\n",
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"dayplan = pd.read_csv(path_dayplan)\n",
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"CRSRD_IDs = [436, 437, 438, 442, 443, 455, 456, 457, 458]\n",
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"dayplan = dayplan[dayplan.CRSRD_ID.isin(CRSRD_IDs)]\n",
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"\n",
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"dayplan = dayplan.drop(columns=['LAST_MDFCN_DT'])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"midnight = int(datetime(2024, 7, 29).timestamp())\n",
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"next_day = int(datetime(2024, 7, 30).timestamp())\n",
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"\n",
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"histories = []\n",
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"\n",
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"for CRSRD_ID in CRSRD_IDs:\n",
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" dplan = dayplan[dayplan.CRSRD_ID==CRSRD_ID]\n",
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" if ((dplan.HOUR==0) & (dplan.MIN==0)).any():\n",
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" pass\n",
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" else:\n",
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" dplan_temp = dplan[-1:]\n",
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" dplan_temp['HOUR'] = 0\n",
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" dplan_temp['MIN'] = 0\n",
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" dplan = pd.concat([dplan, dplan_temp])\n",
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" dplan = dplan.sort_values(by=['HOUR', 'MIN']).reset_index(drop=True)\n",
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" dplan.loc[:, 'end_unix'] = dplan['HOUR'].astype(int) * 3600 + dplan['MIN'].astype(int) * 60 + midnight\n",
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" history = []\n",
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" current_time = midnight\n",
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" for i in range(len(dplan)):\n",
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" row = dplan.iloc[i]\n",
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" cycle = row.CYCL\n",
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" offset = row.OFFSET\n",
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" unix_end = dplan.iloc[i+1]['end_unix'] if i < len(dplan) - 1 else next_day\n",
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" r = 0\n",
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" while current_time <= unix_end:\n",
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" remainder = current_time % 10\n",
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" if remainder != 0: # 현재시각의 일의자리가 0이 아니면 다음 현재시각의 일의자리가 0이 되도록 맞춰준다.\n",
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" r = (5 - remainder) % 10 - 5 # 1>-1, 2>-2, 3>-3, 4>-4, 5>-5, 6>4, 7>3, 8>2, 9>1\n",
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" else:\n",
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" r = random.choices([0, -1, 1], weights=[10, 1, 1])[0] # 측정오차\n",
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" # 0.001의 확률로 결측 발생\n",
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" if random.random() < 0.001: # 주기의 배수만큼 결측\n",
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" n = random.randint(0,100)\n",
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" current_time += n * cycle + r\n",
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" # 0.01의 확률로 이상치 발생\n",
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" elif random.random() > 0.99: # 카이제곱분포값 * 주기만큼의 이상치 발생. 카이제곱분포값은 항상 양수이고 평균이 1\n",
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" current_time += int(np.random.chisquare(df=1) * cycle) + r\n",
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" else:\n",
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" current_time += cycle + r # 결측/이상 없음\n",
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" new_row = row.copy()\n",
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" new_row['PHASE_DT'] = current_time\n",
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" new_row['CYCL'] = cycle\n",
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" new_row['OFFSET'] = offset\n",
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" history.append(new_row)\n",
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" history = pd.concat(history, axis=1).transpose()\n",
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" history = history[['PHASE_DT', 'CRSRD_ID']\n",
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" + [f'RING{alph}_PHASE{i}' for alph in ['A', 'B'] for i in range(1,9)]]\n",
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" history = history[history.PHASE_DT <= next_day]\n",
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" history = history.rename(columns={'PHASE_DT':'OCRN_DT'})\n",
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" histories.append(history)\n",
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"histories = pd.concat(histories)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"histories = histories.sort_values(by=['OCRN_DT', 'CRSRD_ID'])\n",
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"histories = histories.reset_index(drop=True)\n",
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"histories['FRST_REG_DT'] = ''\n",
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"histories['OCRN_DT'] = pd.to_datetime(histories['OCRN_DT'], unit='s')\n",
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"histories['OCRN_DT'] = histories['OCRN_DT'].dt.strftime('%Y-%m-%d %H:%M:%S.%f').str[:-3]\n",
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"histories.to_csv(path_sigl_cycl, index=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"c:\\github\\siggen\\test_0729\\data\\tables\\TL_IF_SIGL_CYCL.csv\n"
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]
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}
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],
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"source": [
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"print(path_sigl_cycl)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "siggen_env",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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