{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
"\n"
]
}
],
"source": [
"import pandas as pd\n",
"path = 'one_cycle.csv'\n",
"df = pd.read_csv(path)\n",
"\n",
"# 적당히 지정하세요\n",
"node_id = df['node_id'][0]\n",
"offset = 999\n",
"\n",
"# xml양식대로 작성\n",
"strings = ['\\n']\n",
"strings.append(f' \\n')\n",
"for i, row in df.iterrows():\n",
" dur = row['dura']\n",
" state = row['signal']\n",
" strings.append(f' \\n')\n",
"strings.append(' \\n')\n",
"strings.append('')\n",
"strings = ''.join(strings)\n",
"print(strings)\n",
"\n",
"# 저장\n",
"path_output = 'example.tll.xml'\n",
"with open(path_output, 'w') as f:\n",
" f.write(strings)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# netedit -s example.net.xml -i example.tll.xml"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"sumo_config_content = \"\"\"\n",
"\n",
" \n",
" \n",
" \n",
" \n",
" \n",
" \n",
"\n",
"\"\"\"\n",
"\n",
"with open('your_configuration_file.sumocfg', 'w') as file:\n",
" file.write(sumo_config_content.strip())\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "rts",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}