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Improved query

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Administrator 2022-12-22 17:39:16 +01:00
parent b32c86c302
commit 28d17d5c35
1 changed files with 59 additions and 38 deletions
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explore.ipynb
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@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 6,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -13,7 +13,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 7,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -34,7 +34,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 8,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -52,7 +52,7 @@
" Case(problem={'v_left': 43.0, 'v_front': 31.5, 'd_left': -98.0, 'd_front': 60.0, 'type_left': 'truck', 'type_front': 'car', 'radius_curve(m)': 1720.0, 'slope_street': 'flat', 'street_type': 'autobahn', 'time': 'dusk', 'weather': 'rain', 'type_vehicle': 'car', 'speed_limit(km/h)': 130.0}, solution={'action': 'continue'})]" " Case(problem={'v_left': 43.0, 'v_front': 31.5, 'd_left': -98.0, 'd_front': 60.0, 'type_left': 'truck', 'type_front': 'car', 'radius_curve(m)': 1720.0, 'slope_street': 'flat', 'street_type': 'autobahn', 'time': 'dusk', 'weather': 'rain', 'type_vehicle': 'car', 'speed_limit(km/h)': 130.0}, solution={'action': 'continue'})]"
] ]
}, },
"execution_count": 3, "execution_count": 8,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -72,7 +72,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 12,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -97,6 +97,11 @@
")\n", ")\n",
"\n", "\n",
"case_base.add_symbolic_sim(\n", "case_base.add_symbolic_sim(\n",
" field = \"street_type\",\n",
" similarity_matrix = create_similarity_matrix(\"data/street_type_sim.csv\", \"type_street\")\n",
")\n",
"\n",
"case_base.add_symbolic_sim(\n",
" field = \"time\",\n", " field = \"time\",\n",
" similarity_matrix = create_similarity_matrix(\"data/time_type_sim.csv\", \"type_time\")\n", " similarity_matrix = create_similarity_matrix(\"data/time_type_sim.csv\", \"type_time\")\n",
")\n", ")\n",
@ -109,7 +114,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 13,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -117,45 +122,57 @@
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"Your Query:\n", "Your Query:\n",
" - v = 28\n", " - v = 22.5\n",
" - v_left = 37\n", " - v_left = 27.5\n",
" - v_front = 22.5\n", " - v_front = 34.5\n",
" - d_left = -20\n", " - d_left = -68\n",
" - d_front = 51\n", " - d_front = 40\n",
" - radius_curve = 2000\n", " - type_left = truck\n",
" - speed_limit = 200\n",
" - type_vehicle = motorcycle\n",
" - type_left = motorcycle\n",
" - type_front = motorcycle\n", " - type_front = motorcycle\n",
" - radius_curve = 3285\n",
" - slope_street = flat\n",
" - street_type = country_road (separated)\n",
" - time = day\n",
" - weather = rain\n",
" - type_vehicle = motorcycle\n",
" - speed_limit = 120\n",
"\n", "\n",
"I recommend you this car:\n", "I recommend you this car:\n",
"Accelerated_lane_change\n", "Continue\n",
"\n", "\n",
"Explanation:\n", "Explanation:\n",
" - v_left = 37.0 (similarity: 1.00)\n", " - v_left = 33.0 (similarity: 0.15)\n",
" - v_front = 22.5 (similarity: 1.00)\n", " - v_front = 34.5 (similarity: 1.00)\n",
" - d_left = -17.0 (similarity: 0.25)\n", " - d_left = -120.0 (similarity: 0.02)\n",
" - d_front = 51.0 (similarity: 1.00)\n", " - d_front = 38.0 (similarity: 0.33)\n",
" - radius_curve(m) = 3020.0 (similarity: 0.00)\n", " - type_left = car (similarity: 0.80)\n",
" - speed_limit(km/h) = 120.0 (similarity: 0.01)\n", " - type_front = motorcycle (similarity: 1.00)\n",
" - type_vehicle = car (similarity: 0.50)\n", " - radius_curve(m) = 3606.0 (similarity: 0.00)\n",
" - type_left = truck (similarity: 0.50)\n", " - slope_street = flat (similarity: 1.00)\n",
" - type_front = truck (similarity: 0.50)\n" " - street_type = country_road (separated) (similarity: 1.00)\n",
" - time = day (similarity: 1.00)\n",
" - weather = rain (similarity: 1.00)\n",
" - type_vehicle = truck (similarity: 0.50)\n",
" - speed_limit(km/h) = 120.0 (similarity: 1.00)\n"
] ]
} }
], ],
"source": [ "source": [
"query = Query.from_problems(\n", "query = Query.from_problems(\n",
" v = 28,\n", " v = 22.5,\n",
" v_left = 37,\n", " v_left = 27.5,\n",
" v_front = 22.5,\n", " v_front = 34.5,\n",
" d_left = -20,\n", " d_left = -68,\n",
" d_front = 51,\n", " d_front = 40,\n",
" radius_curve = 2000,\n", " type_left = \"truck\",\n",
" speed_limit = 200,\n",
" type_vehicle = \"motorcycle\",\n",
" type_left = \"motorcycle\",\n",
" type_front = \"motorcycle\",\n", " type_front = \"motorcycle\",\n",
" radius_curve = 3285,\n",
" slope_street = \"flat\",\n",
" street_type = \"country_road (separated)\",\n",
" time = \"day\",\n",
" weather = \"rain\",\n",
" type_vehicle = \"motorcycle\",\n",
" speed_limit = 120,\n",
")\n", ")\n",
"\n", "\n",
"# sim_funcs: manhattan_sim, euclid_sim\n", "# sim_funcs: manhattan_sim, euclid_sim\n",
@ -165,11 +182,15 @@
" v_front = euclid_sim,\n", " v_front = euclid_sim,\n",
" d_left = euclid_sim,\n", " d_left = euclid_sim,\n",
" d_front = euclid_sim,\n", " d_front = euclid_sim,\n",
" radius_curve = manhattan_sim,\n",
" speed_limit = manhattan_sim,\n",
" type_vehicle = symbolic_sim,\n",
" type_left = symbolic_sim,\n", " type_left = symbolic_sim,\n",
" type_front = symbolic_sim,\n", " type_front = symbolic_sim,\n",
" radius_curve = euclid_sim,\n",
" slope_street = symbolic_sim,\n",
" street_type = symbolic_sim,\n",
" time = symbolic_sim,\n",
" weather = symbolic_sim,\n",
" type_vehicle = symbolic_sim,\n",
" speed_limit = euclid_sim,\n",
")\n", ")\n",
"\n", "\n",
"print(\"Your Query:\")\n", "print(\"Your Query:\")\n",
@ -206,7 +227,7 @@
"orig_nbformat": 4, "orig_nbformat": 4,
"vscode": { "vscode": {
"interpreter": { "interpreter": {
"hash": "4c522f398908c053844cc48bcd755f88db468f52081f171c67c4d9e41e8d16a6" "hash": "a5aa7fe267f107423dffd85abeeed3bf0e097b37494d32919cbe32f80338e7f6"
} }
} }
}, },