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2022-020
Commit 973e414a authored by Nirman M.A.H.L's avatar Nirman M.A.H.L
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Merge branch 'master' into 'IT19177342' 

Master

See merge request 2022-020/2022-020!33
parents 8be416f6 3d3a5278
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.idea/.name 0 → 100644
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Travelle
\ No newline at end of file
.idea/jarRepositories.xml 0 → 100644
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<project version="4">
<component name="RemoteRepositoriesConfiguration">
<remote-repository>
<option name="id" value="central" />
<option name="name" value="Maven Central repository" />
<option name="url" value="https://repo1.maven.org/maven2" />
</remote-repository>
<remote-repository>
<option name="id" value="jboss.community" />
<option name="name" value="JBoss Community repository" />
<option name="url" value="https://repository.jboss.org/nexus/content/repositories/public/" />
</remote-repository>
<remote-repository>
<option name="id" value="MavenRepo" />
<option name="name" value="MavenRepo" />
<option name="url" value="https://repo.maven.apache.org/maven2/" />
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<remote-repository>
<option name="id" value="Google" />
<option name="name" value="Google" />
<option name="url" value="https://dl.google.com/dl/android/maven2/" />
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.idea/vcs.xml 0 → 100644
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="" vcs="Git" />
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.vscode/settings.json 0 → 100644
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{
"python.analysis.extraPaths": [
"./TravelTimePrediction/TrainData",
"./TravelTimePrediction"
]
}
TravelTimePrediction/TrainData/TrainData.csv 0 → 100644
View file @ 973e414a
Dipature,Arrival,Time
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
Dehiwala,Fort ,25min
Dehiwala,wellawatte,5min
Dehiwala,bambalapitiya,9min
Dehiwala,kollupitiya,13min
Dehiwala,kompannavidiya,16min
wellawatte,bambalapitiya,4min
wellawatte,kollupitiya,8min
wellawatte,kompannavidiya,11min
wellawatte,Fort ,13min
bambalapitiya,kollupitiya,4min
bambalapitiya,kompannavidiya,7min
bambalapitiya,Fort ,9min
kollupitiya,kompannavidiya,3min
kollupitiya,Fort ,5min
kompannavidiya,Fort ,3min
TravelTimePrediction/TrainData/TrainDataSet.txt 0 → 100644
View file @ 973e414a
Dehiwala 1
wellawatte 2
bambalapitiya 3
kollupitiya 4
kompannavidiya 5
Fort 6
TravelTimePrediction/TrainData/TrainTimePrediction.ipynb 0 → 100644
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{
"cells": [
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
"data = pd.read_csv('TrainData.csv')"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Dipature</th>\n",
" <th>Arrival</th>\n",
" <th>Time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Dehiwala</td>\n",
" <td>Fort</td>\n",
" <td>25min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Dehiwala</td>\n",
" <td>wellawatte</td>\n",
" <td>5min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Dehiwala</td>\n",
" <td>bambalapitiya</td>\n",
" <td>9min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Dehiwala</td>\n",
" <td>kollupitiya</td>\n",
" <td>13min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Dehiwala</td>\n",
" <td>kompannavidiya</td>\n",
" <td>16min</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Dipature Arrival Time\n",
"0 Dehiwala Fort 25min\n",
"1 Dehiwala wellawatte 5min\n",
"2 Dehiwala bambalapitiya 9min\n",
"3 Dehiwala kollupitiya 13min\n",
"4 Dehiwala kompannavidiya 16min"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 150 entries, 0 to 149\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Dipature 150 non-null object\n",
" 1 Arrival 150 non-null object\n",
" 2 Time 150 non-null object\n",
"dtypes: object(3)\n",
"memory usage: 3.6+ KB\n"
]
}
],
"source": [
"data.info()"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['Dehiwala', 'wellawatte', 'bambalapitiya', 'kollupitiya',\n",
" 'kompannavidiya'], dtype=object)"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Dipature'].unique()"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 1\n",
"1 1\n",
"2 1\n",
"3 1\n",
"4 1\n",
" ..\n",
"145 3\n",
"146 3\n",
"147 4\n",
"148 4\n",
"149 5\n",
"Name: Dipature, Length: 150, dtype: int64"
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Dipature'].map({'Dehiwala':1,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"data['Dipature'] = data['Dipature'].map({'Dehiwala':1,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['Fort ', 'wellawatte', 'bambalapitiya', 'kollupitiya',\n",
" 'kompannavidiya'], dtype=object)"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Arrival'].unique()"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 6\n",
"1 2\n",
"2 3\n",
"3 4\n",
"4 5\n",
" ..\n",
"145 5\n",
"146 6\n",
"147 5\n",
"148 6\n",
"149 6\n",
"Name: Arrival, Length: 150, dtype: int64"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Arrival'].map({'Fort ':6,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"data['Arrival'] = data['Arrival'].map({'Fort ':6,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Dipature</th>\n",
" <th>Arrival</th>\n",
" <th>Time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>25min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>5min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>9min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>13min</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>16min</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Dipature Arrival Time\n",
"0 1 6 25min\n",
"1 1 2 5min\n",
"2 1 3 9min\n",
"3 1 4 13min\n",
"4 1 5 16min"
]
},
"execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
"X = data.drop(['Time'],axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
"y = data['Time']"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.model_selection import train_test_split"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.2,random_state=42)"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.neural_network import MLPClassifier"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\Shiv\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:702: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
" warnings.warn(\n"
]
},
{
"data": {
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],
"text/plain": [
"MLPClassifier()"
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"NN = MLPClassifier()\n",
"NN.fit(X_train,y_train)"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [],
"source": [
"y_pred1 = NN.predict(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [],
"source": [
"df1 = pd.DataFrame({'Actual':y_test, 'NN Results':y_pred1})"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Dipature</th>\n",
" <th>Arrival</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Dipature Arrival\n",
"0 1 2"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = {'Dipature':1,\n",
" 'Arrival':2,\n",
" }\n",
"df = pd.DataFrame(data,index=[0])\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Travel Time Prediction :- 5min \n"
]
}
],
"source": [
"predit = NN.predict(df)\n",
"print('Train Travel Time Prediction :- ',*predit,' ')"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [],
"source": [
"def GetTrainPrediction(Dipature,Arrival):\n",
" data = {'Dipature':Dipature,\n",
" 'Arrival':Arrival,\n",
" }\n",
" df = pd.DataFrame(data,index=[0])\n",
" predit = NN.predict(df)\n",
" print('Train Travel Time Prediction :- ',*predit,' ')"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
"def GetDipatureCode(data):\n",
" if('Dehiwala' == data):\n",
" return 1\n",
" elif('wellawatte' == data):\n",
" return 2\n",
" elif('bambalapitiya' == data):\n",
" return 3\n",
" elif('kollupitiya' == data):\n",
" return 4\n",
" elif('kompannavidiya' == data):\n",
" return 5"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [],
"source": [
"def GetArrivalCode(data):\n",
" if('Fort' == data):\n",
" return 6\n",
" elif('wellawatte' == data):\n",
" return 2\n",
" elif('bambalapitiya' == data):\n",
" return 3\n",
" elif('kollupitiya' == data):\n",
" return 4\n",
" elif('kompannavidiya' == data):\n",
" return 5"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train Travel Time Prediction :- 25min \n"
]
}
],
"source": [
"Dipature = GetDipatureCode('Dehiwala')\n",
"Arrival = GetArrivalCode('Fort')\n",
"\n",
"GetTrainPrediction(Dipature,Arrival)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.10.7 64-bit",
"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": "3.10.7"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "5cf8c3d3e58a91b903f819a9c98dd2220f70e367ec47969cb612bf546ce9e823"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
TravelTimePrediction/TrainData/TrainTimePrediction.py 0 → 100644
View file @ 973e414a
# %%
import pandas as pd
# %%
data = pd.read_csv('TravelTimePrediction\TrainData\TrainData.csv')
# %%
# %%
# %%
# %%
data['Dipature'].map({'Dehiwala':1,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})
# %%
data['Dipature'] = data['Dipature'].map({'Dehiwala':1,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})
# %%
# %%
data['Arrival'].map({'Fort ':6,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})
# %%
data['Arrival'] = data['Arrival'].map({'Fort ':6,'wellawatte':2,'bambalapitiya':3,'kollupitiya':4,'kompannavidiya':5})
# %%
# %%
X = data.drop(['Time'],axis=1)
# %%
y = data['Time']
# %%
from sklearn.model_selection import train_test_split
# %%
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.2,random_state=42)
# %%
from sklearn.neural_network import MLPClassifier
# %%
NN = MLPClassifier()
NN.fit(X_train,y_train)
# %%
y_pred1 = NN.predict(X_test)
# %%
df1 = pd.DataFrame({'Actual':y_test, 'NN Results':y_pred1})
# %%
data = {'Dipature':1,
'Arrival':2,
}
df = pd.DataFrame(data,index=[0])
# %%
predit = NN.predict(df)
# %%
def GetTrainPrediction(Dipature,Arrival):
data = {'Dipature':Dipature,
'Arrival':Arrival,
}
df = pd.DataFrame(data,index=[0])
predit = NN.predict(df)
print('Train Travel Time Prediction :- ',*predit,' ')
# %%
def GetDipatureCode(data):
if('Dehiwala' == data):
return 1
elif('wellawatte' == data):
return 2
elif('bambalapitiya' == data):
return 3
elif('kollupitiya' == data):
return 4
elif('kompannavidiya' == data):
return 5
# %%
def GetArrivalCode(data):
if('Fort' == data):
return 6
elif('wellawatte' == data):
return 2
elif('bambalapitiya' == data):
return 3
elif('kollupitiya' == data):
return 4
elif('kompannavidiya' == data):
return 5
# %%
def GetPrediction(Dvalue,Avalue):
Dipature = GetDipatureCode(Dvalue)
Arrival = GetArrivalCode(Avalue)
GetTrainPrediction(Dipature,Arrival)
GetPrediction('Dehiwala','Fort')
\ No newline at end of file
TravelTimePrediction.ipynb → TravelTimePrediction/TravelTimePrediction.ipynb
View file @ 973e414a
......@@ -1668,7 +1668,7 @@
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "26de051ba29f2982a8de78e945f0abaf191376122a1563185a90213a26c5da77"
"hash": "5cf8c3d3e58a91b903f819a9c98dd2220f70e367ec47969cb612bf546ce9e823"
}
}
},
......
TravelTimePredictionNN.py → TravelTimePrediction/TravelTimePredictionNN.py
View file @ 973e414a
......@@ -2,7 +2,7 @@
import pandas as pd
# %%
data = pd.read_csv('BusTravelData.csv')
data = pd.read_csv('TravelTimePrediction\BusTravelData.csv')
# %%
......@@ -180,6 +180,8 @@ def GetDateCode(date):
import testingWeather
city = "malabe"
city = city+" weather"
......@@ -187,16 +189,37 @@ time= 6 #this time come from semins data/member of route planning
day ='Friday' #date come from UI
date = GetDateCode(day)
special = 0 # Special Day or Not 1/0
Congestion= 8 # This is depend on the depature time---- heavy traffic =9 / No Traffic = 0
Congestion= 8 # This is come from TomTOm API / APK app
drivingspeedAVG = 40 #this is come from GPS data
stops =14 #total Bus stops/holts between the travel --- data come from the Seminas data/member of route planning
weather =testingWeather.weather(city) #Get weather in travel area
Distance =14.7 #Distance data come from seminas ----- data come from the Seminas data/member of route planning
GetPrediction(time,date,special,Congestion,drivingspeedAVG,stops,weather,Distance)
#- ToDO
# callTimePrediction arguments should be dis, stops, hour, day
# Get Prediction USing this Method after Seminas Calling
def CallTimePrediction(distance,BuStops,TodayDate):
FnewDate = GetDateCode(TodayDate)
GetPrediction(time,FnewDate,special,Congestion,drivingspeedAVG,BuStops,weather,distance)
# Get Train Data
# import sys
# adding Folder_2/subfolder to the system path
# sys.path.insert(0, 'TravelTimePrediction\TrainData')
# importing the hello
# from TrainTimePrediction import GetPrediction
# GetPrediction('Dehiwala','Fort')
app/build.gradle
View file @ 973e414a
plugins {
id 'com.android.application'
id 'com.google.android.libraries.mapsplatform.secrets-gradle-plugin'
id 'com.google.gms.google-services'
}
android {
......@@ -42,7 +43,23 @@ dependencies {
implementation 'com.google.android.gms:play-services-maps:18.1.0'
implementation 'com.google.android.gms:play-services-maps:18.1.0'
implementation 'com.google.android.gms:play-services-location:20.0.0'
implementation 'com.google.firebase:firebase-database:20.0.6'
testImplementation 'junit:junit:4.13.2'
androidTestImplementation 'androidx.test.ext:junit:1.1.3'
androidTestImplementation 'androidx.test.espresso:espresso-core:3.4.0'
}
\ No newline at end of file
// Import the BoM for the Firebase platform
implementation platform('com.google.firebase:firebase-bom:30.5.0')
// Add the dependency for the Realtime Database library
// When using the BoM, you don't specify versions in Firebase library dependencies
implementation 'com.google.firebase:firebase-database'
// Import the BoM for the Firebase platform
implementation platform('com.google.firebase:firebase-bom:30.5.0')
// Declare the dependencies for the desired Firebase products without specifying versions
// For example, declare the dependencies for Firebase Authentication and Cloud Firestore
implementation 'com.google.firebase:firebase-auth'
implementation 'com.google.firebase:firebase-firestore'
}
app/google-services.json 0 → 100644
View file @ 973e414a
{
"project_info": {
"project_number": "764544025792",
"firebase_url": "https://gps-b123c-default-rtdb.firebaseio.com",
"project_id": "gps-b123c",
"storage_bucket": "gps-b123c.appspot.com"
},
"client": [
{
"client_info": {
"mobilesdk_app_id": "1:764544025792:android:af682706740c3b93dd1925",
"android_client_info": {
"package_name": "com.app.travelle"
}
},
"oauth_client": [
{
"client_id": "764544025792-4d40sjiq3sj6rdag8v3gdobdf1ee2kb7.apps.googleusercontent.com",
"client_type": 3
}
],
"api_key": [
{
"current_key": "AIzaSyAQdPBb4ktGFcpFqC9Fi1oDUiA0DaeIgaU"
}
],
"services": {
"appinvite_service": {
"other_platform_oauth_client": [
{
"client_id": "764544025792-4d40sjiq3sj6rdag8v3gdobdf1ee2kb7.apps.googleusercontent.com",
"client_type": 3
}
]
}
}
}
],
"configuration_version": "1"
}
\ No newline at end of file
app/src/main/AndroidManifest.xml
View file @ 973e414a
......@@ -14,17 +14,11 @@
android:icon="@mipmap/ic_launcher"
android:label="@string/app_name"
android:roundIcon="@mipmap/ic_launcher_round"
android:screenOrientation="sensorPortrait"
android:supportsRtl="true"
android:theme="@style/Theme.Travelle"
android:screenOrientation="sensorPortrait"
tools:targetApi="31">
<activity
android:name=".InitialMap"
android:exported="false">
<meta-data
android:name="android.app.lib_name"
android:value="" />
</activity>
<!--
TODO: Before you run your application, you need a Google Maps API key.
......@@ -38,8 +32,19 @@
-->
<meta-data
android:name="com.google.android.geo.API_KEY"
android:value="AIzaSyD7LBGU3enFRU4u2is65UDT5jRGeIcx4_Q" />
android:value="YOUR_API_KEY" />
<activity
android:name=".RetrieveBusMap"
android:exported="false"
android:label="@string/title_activity_retrieve_bus_map" />
<activity
android:name=".InitialMap"
android:exported="false">
<meta-data
android:name="android.app.lib_name"
android:value="" />
</activity>
<activity
android:name=".HomeMap"
android:exported="false"
......
app/src/main/java/com/app/travelle/InitialMap.java
View file @ 973e414a
......@@ -6,13 +6,17 @@ import androidx.core.app.ActivityCompat;
import android.Manifest;
import android.annotation.SuppressLint;
import android.content.Intent;
import android.content.pm.PackageManager;
import android.content.res.Resources;
import android.graphics.Color;
import android.location.Location;
import android.os.Bundle;
import android.util.Log;
import android.view.View;
import android.view.WindowManager;
import android.widget.ArrayAdapter;
import android.widget.AutoCompleteTextView;
import com.google.android.gms.location.FusedLocationProviderClient;
import com.google.android.gms.location.LocationServices;
......@@ -28,10 +32,18 @@ import com.google.android.gms.maps.model.Polyline;
import com.google.android.gms.maps.model.PolylineOptions;
import com.google.android.gms.tasks.OnSuccessListener;
import com.google.android.gms.tasks.Task;
import android.view.View;
import java.util.HashMap;
import java.util.Map;
public class InitialMap extends AppCompatActivity {
//Initialize variable
private static final String[] CITIES = new String[]{
"Viharamahadevi Park","House Of Fashion","Castle Street","Rajagiriya","HSBC Rajagiriya","Ethulkotte New","Parliament Junction","Battaramulla Junction","Ganahena","Koswatta","Kotte-Bope"
,"Thalahena Junction","Malabe","Fort_TR","Kompannavidiya_TR","Kollupitiya_TR","Bambalapitiya_TR","Wellawatte_TR","Dehiwala_TR"
};
//Initialize variable
SupportMapFragment supportMapFragment;
FusedLocationProviderClient client;
GoogleMap map;
......@@ -44,6 +56,12 @@ public class InitialMap extends AppCompatActivity {
getSupportActionBar().hide();
setContentView(R.layout.activity_initial_map);
//Where to declaration
AutoCompleteTextView editText = findViewById(R.id.where_to);
ArrayAdapter<String> adapter = new ArrayAdapter<String>(this , android.R.layout.simple_list_item_1, CITIES);
editText.setAdapter(adapter);
//Assign variable
......@@ -67,6 +85,12 @@ public class InitialMap extends AppCompatActivity {
}
}
public void btnRetrieveLocation(View view) {
startActivity(new Intent(getApplicationContext(),RetrieveBusMap.class));
}
private void getCurrentLocation() {
//Initialize task location
if (ActivityCompat.checkSelfPermission(this, Manifest.permission.ACCESS_FINE_LOCATION) != PackageManager.PERMISSION_GRANTED && ActivityCompat.checkSelfPermission(this, Manifest.permission.ACCESS_COARSE_LOCATION) != PackageManager.PERMISSION_GRANTED) {
......
app/src/main/java/com/app/travelle/RetrieveBusMap.java 0 → 100644
View file @ 973e414a
package com.app.travelle;
import androidx.annotation.NonNull;
import androidx.core.app.ActivityCompat;
import androidx.core.content.ContextCompat;
import androidx.fragment.app.FragmentActivity;
import android.Manifest;
import android.content.pm.PackageManager;
import android.content.res.Resources;
import android.os.Bundle;
import android.util.Log;
import android.view.Window;
import android.view.WindowManager;
import android.widget.Toast;
import com.google.android.gms.maps.CameraUpdateFactory;
import com.google.android.gms.maps.GoogleMap;
import com.google.android.gms.maps.OnMapReadyCallback;
import com.google.android.gms.maps.SupportMapFragment;
import com.google.android.gms.maps.model.BitmapDescriptorFactory;
import com.google.android.gms.maps.model.LatLng;
import com.google.android.gms.maps.model.MapStyleOptions;
import com.google.android.gms.maps.model.Marker;
import com.google.android.gms.maps.model.MarkerOptions;
import com.app.travelle.databinding.ActivityRetrieveBusMapBinding;
import com.google.android.gms.maps.model.PolylineOptions;
import com.google.firebase.database.DataSnapshot;
import com.google.firebase.database.DatabaseError;
import com.google.firebase.database.DatabaseReference;
import com.google.firebase.database.FirebaseDatabase;
import com.google.firebase.database.ValueEventListener;
public class RetrieveBusMap extends FragmentActivity implements OnMapReadyCallback {
private GoogleMap mMap;
private ActivityRetrieveBusMapBinding binding;
Marker mm;
@Override
protected void onCreate(Bundle savedInstanceState) {
System.out.println("Started");
super.onCreate(savedInstanceState);
requestWindowFeature(Window.FEATURE_NO_TITLE);
this.getWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN, WindowManager.LayoutParams.FLAG_FULLSCREEN);
binding = ActivityRetrieveBusMapBinding.inflate(getLayoutInflater());
setContentView(binding.getRoot());
// Obtain the SupportMapFragment and get notified when the map is ready to be used.
SupportMapFragment mapFragment = (SupportMapFragment) getSupportFragmentManager()
.findFragmentById(R.id.map);
mapFragment.getMapAsync(this);
}
/**
* Manipulates the map once available.
* This callback is triggered when the map is ready to be used.
* This is where we can add markers or lines, add listeners or move the camera. In this case,
* we just add a marker near Sydney, Australia.
* If Google Play services is not installed on the device, the user will be prompted to install
* it inside the SupportMapFragment. This method will only be triggered once the user has
* installed Google Play services and returned to the app.
*/
@Override
public void onMapReady(GoogleMap googleMap) {
mMap = googleMap;
DatabaseReference databaseReference = FirebaseDatabase.getInstance().getReference("/");
System.out.println("================================================") ;
System.out.println(databaseReference);
//Styling
try {
// Customise the styling of the base map using a JSON object defined
// in a raw resource file.
boolean success = googleMap.setMapStyle(
MapStyleOptions.loadRawResourceStyle(
this, R.raw.map_style));
if (!success) {
Log.e("HomeMap", "Style parsing failed.");
}
} catch (Resources.NotFoundException e) {
Log.e("HomeMap", "Can't find style. Error: ", e);
}
ValueEventListener listener = databaseReference.addValueEventListener(new ValueEventListener() {
@Override
public void onDataChange(@NonNull DataSnapshot dataSnapshot) {
System.out.println("changing-----------------------------");
String latitude = dataSnapshot.child("latitude").getValue(String.class);
String longitude = dataSnapshot.child("longitude").getValue(String.class);
System.out.println(latitude+longitude);
LatLng location = new LatLng(Double.parseDouble(latitude),Double.parseDouble(longitude));
if(mm != null){
mm.remove();
}
mm = mMap.addMarker(new MarkerOptions()
.position(location)
.title("117")
.icon(BitmapDescriptorFactory.fromResource(R.drawable.bus_icon))
);
mMap.moveCamera(CameraUpdateFactory.newLatLngZoom(location,17));
mMap.getUiSettings().setMapToolbarEnabled(false);
}
@Override
public void onCancelled(@NonNull DatabaseError databaseError) {
}
});
}
}
\ No newline at end of file
app/src/main/res/drawable/rounded_corner.xml 0 → 100644
View file @ 973e414a
<?xml version="1.0" encoding="utf-8"?>
<shape
xmlns:android="http://schemas.android.com/apk/res/android"
android:shape="rectangle">
<corners android:radius="60dp" />
<!-- This is the border color -->
<stroke android:width="2dp" android:color="#FFFFFF" />
<!--- This is the background color -->
<solid android:color="#FFFFFF" />
</shape>
app/src/main/res/drawable/selector.xml 0 → 100644
View file @ 973e414a
<?xml version="1.0" encoding="utf-8"?>
<selector xmlns:android="http://schemas.android.com/apk/res/android">
<item android:state_focused="true" android:color="@android:color/transparent" />
<item android:color="#6A6A6A" />
</selector>
\ No newline at end of file
app/src/main/res/layout/activity_initial_map.xml
View file @ 973e414a
......@@ -17,13 +17,13 @@
android:id="@+id/imageView10"
android:layout_width="508dp"
android:layout_height="297dp"
android:layout_marginStart="-67dp"
android:layout_marginBottom="-40dp"
app:layout_constraintBottom_toBottomOf="parent"
android:layout_marginStart="-60dp"
android:layout_marginTop="572dp"
app:layout_constraintStart_toStartOf="parent"
app:layout_constraintTop_toTopOf="parent"
app:srcCompat="@drawable/rectangle_16" />
<com.google.android.material.textfield.TextInputLayout
<!-- <com.google.android.material.textfield.TextInputLayout
android:id="@+id/search_destination"
style="@style/Widget.MaterialComponents.TextInputLayout.OutlinedBox"
android:layout_width="340dp"
......@@ -54,15 +54,16 @@
android:layout_height="wrap_content"
android:fontFamily="@font/sans_bold"
android:hint="Where to?" />
</com.google.android.material.textfield.TextInputLayout>
</com.google.android.material.textfield.TextInputLayout> -->
<Button
android:id="@+id/button2"
android:id="@+id/findbus"
android:layout_width="124dp"
android:layout_height="58dp"
android:layout_marginStart="140dp"
android:layout_marginBottom="16dp"
android:backgroundTint="#262730"
android:onClick="btnRetrieveLocation"
android:text="FIND "
app:cornerRadius="60px"
android:textSize="60px"
......@@ -94,4 +95,22 @@
app:layout_constraintStart_toStartOf="parent"
app:layout_constraintTop_toTopOf="parent" />
<AutoCompleteTextView
android:id="@+id/where_to"
android:layout_width="340dp"
android:layout_height="59dp"
android:layout_marginStart="32dp"
android:layout_marginBottom="30dp"
android:hint="Where to"
android:fontFamily="@font/sans_bold"
android:textColorHint="@drawable/selector"
android:textAlignment="center"
android:completionThreshold="1"
android:completionHint="Select a city"
android:background="@drawable/rounded_corner"
app:layout_constraintBottom_toTopOf="@+id/findbus"
app:layout_constraintStart_toStartOf="parent" />
</androidx.constraintlayout.widget.ConstraintLayout>
\ No newline at end of file
app/src/main/res/layout/activity_retrieve_bus_map.xml 0 → 100644
View file @ 973e414a
<?xml version="1.0" encoding="utf-8"?>
<fragment xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:map="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:id="@+id/map"
android:name="com.google.android.gms.maps.SupportMapFragment"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".RetrieveBusMap" />
\ No newline at end of file
app/src/main/res/layout/activity_welcome.xml
View file @ 973e414a
......@@ -6,16 +6,7 @@
android:layout_height="match_parent"
tools:context=".Welcome">
<ImageView
android:id="@+id/imageView10"
android:layout_width="508dp"
android:layout_height="297dp"
android:layout_marginStart="-60dp"
android:layout_marginBottom="-40dp"
app:layout_constraintBottom_toBottomOf="parent"
app:layout_constraintStart_toStartOf="parent"
app:srcCompat="@drawable/rectangle_16" />
<!--
<!--
<com.google.android.material.textfield.TextInputLayout
android:id="@+id/search_destination"
style="@style/Widget.MaterialComponents.TextInputLayout.OutlinedBox"
......@@ -47,16 +38,27 @@
</com.google.android.material.textfield.TextInputLayout>
-->
<ImageView
android:id="@+id/imageView10"
android:layout_width="508dp"
android:layout_height="297dp"
android:layout_marginStart="-60dp"
android:layout_marginTop="572dp"
app:layout_constraintStart_toStartOf="parent"
app:layout_constraintTop_toTopOf="parent"
app:srcCompat="@drawable/rectangle_16" />
<Button
android:id="@+id/button2"
android:layout_width="124dp"
android:layout_height="58dp"
android:layout_marginStart="140dp"
android:layout_width="165dp"
android:layout_height="70dp"
android:layout_marginStart="120dp"
android:layout_marginBottom="16dp"
android:backgroundTint="#262730"
android:text="FIND "
app:cornerRadius="60px"
android:textSize="60px"
app:cornerRadius="60px"
app:layout_constraintBottom_toBottomOf="parent"
app:layout_constraintStart_toStartOf="parent" />
......@@ -75,12 +77,12 @@
android:layout_width="340dp"
android:layout_height="59dp"
android:layout_marginStart="32dp"
android:layout_marginBottom="156dp"
android:layout_marginBottom="12dp"
android:background="#FFFFFF"
android:completionThreshold="3"
android:text="Where to"
android:textAlignment="center"
android:completionThreshold="3"
android:popupTheme="#FFFFFF"
android:background="#FFFFFF"
app:layout_constraintBottom_toTopOf="@+id/button2"
app:layout_constraintStart_toStartOf="parent" />
......
app/src/main/res/raw/silver_style.json 0 → 100644
View file @ 973e414a
[
{
"elementType": "geometry",
"stylers": [
{
"color": "#1d2c4d"
}
]
},
{
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#8ec3b9"
}
]
},
{
"elementType": "labels.text.stroke",
"stylers": [
{
"color": "#1a3646"
}
]
},
{
"featureType": "administrative.country",
"elementType": "geometry.stroke",
"stylers": [
{
"color": "#4b6878"
}
]
},
{
"featureType": "administrative.land_parcel",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#64779e"
}
]
},
{
"featureType": "administrative.province",
"elementType": "geometry.stroke",
"stylers": [
{
"color": "#4b6878"
}
]
},
{
"featureType": "landscape.man_made",
"elementType": "geometry.stroke",
"stylers": [
{
"color": "#334e87"
}
]
},
{
"featureType": "landscape.natural",
"elementType": "geometry",
"stylers": [
{
"color": "#023e58"
}
]
},
{
"featureType": "poi",
"elementType": "geometry",
"stylers": [
{
"color": "#283d6a"
}
]
},
{
"featureType": "poi",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#6f9ba5"
}
]
},
{
"featureType": "poi",
"elementType": "labels.text.stroke",
"stylers": [
{
"color": "#1d2c4d"
}
]
},
{
"featureType": "poi.park",
"elementType": "geometry.fill",
"stylers": [
{
"color": "#023e58"
}
]
},
{
"featureType": "poi.park",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#3C7680"
}
]
},
{
"featureType": "road",
"elementType": "geometry",
"stylers": [
{
"color": "#304a7d"
}
]
},
{
"featureType": "road",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#98a5be"
}
]
},
{
"featureType": "road",
"elementType": "labels.text.stroke",
"stylers": [
{
"color": "#1d2c4d"
}
]
},
{
"featureType": "road.arterial",
"elementType": "geometry.fill",
"stylers": [
{
"color": "#545454"
}
]
},
{
"featureType": "road.highway",
"elementType": "geometry",
"stylers": [
{
"color": "#2c6675"
}
]
},
{
"featureType": "road.highway",
"elementType": "geometry.stroke",
"stylers": [
{
"color": "#255763"
}
]
},
{
"featureType": "road.highway",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#b0d5ce"
}
]
},
{
"featureType": "road.highway",
"elementType": "labels.text.stroke",
"stylers": [
{
"color": "#023e58"
}
]
},
{
"featureType": "road.local",
"elementType": "geometry.fill",
"stylers": [
{
"color": "#878787"
}
]
},
{
"featureType": "transit",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#98a5be"
}
]
},
{
"featureType": "transit",
"elementType": "labels.text.stroke",
"stylers": [
{
"color": "#1d2c4d"
}
]
},
{
"featureType": "transit.line",
"elementType": "geometry.fill",
"stylers": [
{
"color": "#283d6a"
}
]
},
{
"featureType": "transit.station",
"elementType": "geometry",
"stylers": [
{
"color": "#3a4762"
}
]
},
{
"featureType": "water",
"elementType": "geometry",
"stylers": [
{
"color": "#0e1626"
}
]
},
{
"featureType": "water",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#4e6d70"
}
]
}
]
\ No newline at end of file
app/src/main/res/values/strings.xml
View file @ 973e414a
......@@ -11,4 +11,5 @@
<string name="hello_second_fragment">Hello second fragment. Arg: %1$s</string>
<string name="title_activity_homemap">homemap</string>
<string name="title_activity_home_map">HomeMap</string>
<string name="title_activity_retrieve_bus_map">RetrieveBusMap</string>
</resources>
\ No newline at end of file
build.gradle
View file @ 973e414a
// Top-level build file where you can add configuration options common to all sub-projects/modules.
buildscript {
repositories {
// Make sure that you have the following two repositories
}
dependencies {
classpath 'com.google.gms:google-services:4.3.14'
}
}// Top-level build file where you can add configuration options common to all sub-projects/modules.
plugins {
id 'com.android.application' version '7.3.0' apply false
id 'com.android.library' version '7.3.0' apply false
id 'com.google.android.libraries.mapsplatform.secrets-gradle-plugin' version '2.0.1' apply false
}
\ No newline at end of file
}
allprojects {
repositories {
// Make sure that you have the following two repositories
}}
\ No newline at end of file
routeplanner/AL.py → pathplanner/AL.py
View file @ 973e414a
from asyncio.windows_events import NULL
from tokenize import ContStr
from turtle import distance
from helpers import load_map_test, load_map_bus, load_map_train,route_177,route_176,route_8717
......@@ -14,6 +15,7 @@ class PathPlanner():
self.type = type
self.range = 0
self.cost = 0
self.allRoutes = [177,176,8717]
self.closedSet = self.create_closedSet() if goal != None and start != None else None
self.openSet = self.create_openSet() if goal != None and start != None else None
self.cameFrom = self.create_cameFrom() if goal != None and start != None else None
......@@ -78,7 +80,6 @@ class PathPlanner():
self.record_best_path_to(current, neighbor)
#self.range += self.dis
print("No Path Found")
self.path = None
return False
......@@ -216,34 +217,25 @@ class PathPlanner():
#traveled_distance
lastNode = self.start
for n in self.path[1:]:
self.range = self.range+ distance(lastNode, n )
self.range += distance(lastNode, n )
lastNode = n
return self.range
def get_fare(self,path):
currentRouteNo = self.map.routeNo[self.start]
temp = 0
for x in path:
if self.map.routeNo[x] == currentRouteNo:
#print('path is(x) =' + str(x)+ ' ,temp =' + str(temp))
temp+=1
currentRouteNo = self.map.routeNo[x]
else :
print("eeeeeeeeeeeeeeeeeeee")
self.func(currentRouteNo, temp)
currentRouteNo = self.map.routeNo[x]
temp = 0
routeNumbers = []
for each in path:
routeNumbers.append(self.map.routeNo[each])
#routeNumbers
for n in self.allRoutes:
val = routeNumbers.count(n)
if val >= 0:
self.funcc(n, val)
print('cost = ', self.cost)
#cost = cost + route_177.get(temp)
return self.cost
def func(self, no, nodes):
print('fuction')
def funcc(self, no, nodes):
if(no == 177):
self.cost = self.cost + route_177.get(nodes)
elif(no == 176):
......@@ -254,35 +246,49 @@ class PathPlanner():
pass
# Get route
def main( a, start, destination):
if a == 3:
def main( val, start, destination):
if val == 3:
map = load_map_train()
elif a == 2:
elif val == 2:
map = load_map_bus()
else:
map = load_map_test()
planner = PathPlanner(map,start,destination)
print(map.roads)
#print(map.roads)
path = planner.path
print("Genarated path")
if path == False:
print("No path Found", path)
return
print("No path Found ")
return False
else:
print(path)
print('distance =' , planner.get_traveled_distance())
print(planner.get_fare(path))
print('path = ' ,path)
dist = planner.get_traveled_distance()/10
print('distance = ' , dist)
fare = planner.get_fare(path)
print('trip RS.' , fare)
####--------------- calling functions of travelTimePredictions (Shiwantha) ---------------
from datetime import datetime
# get current datetime
dateTime = datetime.now()
import sys
#adding Folder_2/subfolder to the system path
sys.path.insert(0, 'TravelTimePrediction')
#importing the hello
from TravelTimePredictionNN import CallTimePrediction
#dis, stops, hour, day
CallTimePrediction(dist,len(path),(dateTime.hour),(dateTime.strftime('%A')))
main( 1, 8, 18)
main( 1, 0, 3)
\ No newline at end of file
# from test import test
# test(map)
\ No newline at end of file
routeplanner/helpers.py → pathplanner/helpers.py
View file @ 973e414a
import networkx as nx
import pickle
from chart_studio import plotly as py
import random
from plotly.graph_objs import *
#init_notebook_mode(connected=True)
route_177 = {
0:0,
1: 34,
2: 42,
3: 54,
......@@ -26,12 +26,16 @@ route_177 = {
}
route_176 = {
0:0,
1: 34,
2: 42,
3: 54,
}
route_8717 = {
0:0,
1: 20,
2: 20,
3: 20,
......@@ -40,7 +44,7 @@ route_8717 = {
}
map_test = {
0: {'pos': (6.911034627182109, 79.84918916006576), 'connections': [1], 'name' : 'Kollupitiya','type': 0,'routeNo': 177, 'hValue': 1},
0: {'pos': (6.911034627182109, 79.84918916006576), 'connections': [1,16], 'name' : 'Kollupitiya','type': 0,'routeNo': 177, 'hValue': 5},
1: {'pos': (6.911751932322411, 79.86194701315071), 'connections': [0,2], 'name' : 'Viharamahadevi Park', 'type': 0, 'routeNo': 177, 'hValue': 1},
2: {'pos': (6.911385550864001, 79.87682791026592), 'connections': [1,3], 'name' : 'House Of Fashion', 'type': 0, 'routeNo': 177, 'hValue': 1},
3: {'pos': (6.911031363415147, 79.88498429384545), 'connections': [2,4], 'name' : 'Castle Street', 'type': 0, 'routeNo': 177, 'hValue': 1},
......@@ -69,18 +73,13 @@ class Map:
self.intersections = nx.get_node_attributes(G, "pos")
self.routeNo = nx.get_node_attributes(G, "routeNo")
self.type = nx.get_node_attributes(G, "type")
self.name = nx.get_node_attributes(G, "name")
self.roads = [list(G[node]) for node in G.nodes()]
def save(self, filename):
with open(filename, 'wb') as f:
pickle.dump(self._graph, f)
def load_map_graph(map_dict):
G = nx.Graph()
for node in map_dict.keys():
G.add_node(node, pos=map_dict[node]['pos'], type=map_dict[node]['type'],routeNo=map_dict[node]['routeNo'])
G.add_node(node, pos=map_dict[node]['pos'], type=map_dict[node]['type'],routeNo=map_dict[node]['routeNo'],name=map_dict[node]['name'])
for node in map_dict.keys():
for con_node in map_dict[node]['connections']:
G.add_edge(node, con_node)
......@@ -89,22 +88,11 @@ def load_map_graph(map_dict):
def load_map_b(map_dict):
# G = nx.Graph()
# for node in map_dict.keys():
# #nodeValue =
# if map_dict[node]['type'] != 1:
# continue
# else:
# G.add_node(node, pos=map_dict[node]['pos'], type=map_dict[node]['type'],routeNo=map_dict[node]['routeNo'])
G = nx.Graph()
for node in map_dict.keys():
G.add_node(node, pos=map_dict[node]['pos'], type=map_dict[node]['type'],routeNo=map_dict[node]['routeNo'])
# for node in map_dict.keys():
# for con_node in map_dict[node]['connections']:
# if map_dict[con_node]['type'] != 1:
# continue
# else:
# G.add_edge(node, con_node)
for node in map_dict.keys():
for con_node in map_dict[node]['connections']:
if map_dict[node]['type'] != 1:
......
routeplanner/test.py → pathplanner/test.py
View file @ 973e414a
from helpers import load_map_test
MAP_ANSWERS = [
(5, 34, [5, 16, 37, 12, 34]),
(5, 5, [5]),
(8, 24, [8, 14, 16, 37, 12, 17, 10, 24])
ANSWERS = [
(1,5, 34, [5, 16, 37, 12, 34]),
(1,5, 5, [5]),
(1,8, 24, [8, 14, 16, 37, 12, 17, 10, 24])
]
def test(shortest_path_function):
map = load_map_test()
print('test started ---------------')
correct = 0
for start, goal, answer_path in MAP_ANSWERS:
for map, start, goal, answer_path in ANSWERS:
path = shortest_path_function(map, start, goal).path
if path == answer_path:
correct += 1
......@@ -19,8 +18,8 @@ def test(shortest_path_function):
"Correct: ", answer_path)
else:
print("Error Testing faild !!!" )
if correct == len(MAP_ANSWERS):
if correct == len(ANSWERS):
print("All tests pass ")
else:
print("Only passed", correct, "/", len(MAP_ANSWERS), "test cases")
print("Only passed", correct, "/", len(ANSWERS), "test cases")
\ No newline at end of file
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