{
"cells": [
{
"cell_type": "markdown",
"id": "7ba05a39",
"metadata": {},
"source": [
"# Simulationsstudie: Diebstahlerkennung eines Autos in Echtzeit\n",
"\n",
"**Name:** Yann Ahlgrim \n",
"\n",
"In dieser Simulationsstudie wird ein Modell entwickelt, das anhand von Fahrverhaltensdaten erkennt, ob ein anderer Fahrer als üblich am Steuer sitzt. Ziel ist es, eine Wahrscheinlichkeit für einen Fahrerwechsel zu schätzen und bei hoher Wahrscheinlichkeit eine Diebstahlwarnung auszugeben. Die Studie umfasst die Generierung einer synthetischen Grundgesamtheit, die Simulation der Data Scientist Perspektive und die Analyse der Modellgüte."
]
},
{
"cell_type": "markdown",
"id": "f04292ef",
"metadata": {},
"source": [
"## Erzeugung der Grundgesamtheit"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "97ba29a9",
"metadata": {},
"outputs": [],
"source": [
"# Import der benötigten Bibliotheken\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"from scipy.stats import norm, multinomial, randint\n",
"\n",
"np.random.seed(11)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "61247da5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" shift_behavior \n",
" fahrzeitpunkt \n",
" drehzahl \n",
" geschwindigkeit \n",
" aussentemperatur \n",
" streckenlaenge \n",
" anzahl_stopps \n",
" unterwegszeit \n",
" fahrerwechsel \n",
" \n",
" \n",
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" 0 \n",
" früh \n",
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"output_type": "display_data"
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],
"source": [
"# Grafische Darstellung der Verteilungen\n",
"fig, axs = plt.subplots(2, 3, figsize=(18, 10))\n",
"sns.countplot(x=data['shift_behavior'], ax=axs[0,0])\n",
"axs[0,0].set_title('Schaltverhalten')\n",
"sns.countplot(x=data['fahrzeitpunkt'], ax=axs[0,1])\n",
"axs[0,1].set_title('Fahrzeitpunkt')\n",
"sns.histplot(data['drehzahl'], bins=50, ax=axs[0,2])\n",
"axs[0,2].set_title('Drehzahl')\n",
"sns.histplot(data['geschwindigkeit'], bins=50, ax=axs[1,0])\n",
"axs[1,0].set_title('Geschwindigkeit')\n",
"sns.histplot(data['streckenlaenge'], bins=50, ax=axs[1,1])\n",
"axs[1,1].set_title('Streckenlänge')\n",
"sns.histplot(data['unterwegszeit'], bins=50, ax=axs[1,2])\n",
"axs[1,2].set_title('unterwegszeit')\n",
"plt.tight_layout()\n",
"plt.show()"
]
}
],
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