Datasets
Standard Dataset
Roundabout Curvature Bounding box Data
- Citation Author(s):
- Submitted by:
- Rakesh Singh
- Last updated:
- Mon, 03/21/2022 - 04:36
- DOI:
- 10.21227/v3wq-0s51
- Data Format:
- License:
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Abstract
Dataset haiving the curvature and spline values for the roundabout
Instructions:
1. use java program to analyse the data
2. use python program for vizualization
sample Java program
public class AnalysisByRadius {
public static void main(String args[]) throws IOException {
Class clazz = Analysis.class;
DecimalFormat df = new DecimalFormat();
df.setMaximumFractionDigits(2);
//System.out.println( clazz.getResourceAsStream("/resultsWEU/result.txt").available());
InputStream inputStream = clazz.getResourceAsStream("/resultsWEU/result.txt");
String data = readFromInputStream(inputStream);
System.out.println(data);
String[] finaldata = data.split("\n");
HashMap<Character,Double> ratioMap = new HashMap<>();
HashMap<Character,Integer> numberMap = new HashMap<>();
for(int i=2;i<finaldata.length;){
Integer roundaboutnumber=Integer.parseInt(finaldata[i].split(",")[2]);
String admin= finaldata[i].split(",")[0];
for(int j=i+1;j<i+1+roundaboutnumber;j++){
System.out.println(finaldata[j]);
String[] splitresult= finaldata[j].split(",");
Double lowerValue=Double.parseDouble(splitresult[1])+10;
Double ratioValue=Double.parseDouble(splitresult[3]);
Character select='Z';
if(lowerValue<=30){
select='A';
}else if(lowerValue<=40){
select='B';
}else if(lowerValue<=50){
select='C';
}else if(lowerValue<=60){
select='D';
}else if(lowerValue<=70){
select='E';
}else if(lowerValue>70){
select='F';
}
if(ratioMap.containsKey(select)) {
ratioMap.put(select, ratioMap.get(select) + ratioValue);
numberMap.put(select,numberMap.get(select)+1);
}
else{
ratioMap.put(select,ratioValue);
numberMap.put(select,1);
}
}
i+=roundaboutnumber+1;
i++;
}
System.out.println( ratioMap.size());
int totalNumberRoundabout=0;
for(Character c : ratioMap.keySet()){
System.out.println(ratioMap.get(c)+"......"+numberMap.get(c));
totalNumberRoundabout+=numberMap.get(c);
}
System.out.println("total cases --->"+totalNumberRoundabout);
}
private static String readFromInputStream(InputStream inputStream)
throws IOException {
StringBuilder resultStringBuilder = new StringBuilder();
try (BufferedReader br
= new BufferedReader(new InputStreamReader(inputStream))) {
String line;
while ((line = br.readLine()) != null) {
resultStringBuilder.append(line).append("\n");
}
}
return resultStringBuilder.toString();
}
}
sample python program
import plotly.graph_objects as go
labels = ['arcLength <= 50','arcLength <= 80','arcLength <= 110','arcLength <= 140','arcLength <= 170','arcLength <= 200','arcLength > 200']
values = [106, 466, 454, 165, 39, 18, 39]
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
fig.show()
----------------------------------
# Libraries
import numpy as np
import matplotlib.pyplot as plt
# Make a random dataset:
#height = [98.0,89.0,88.0,79.0,100.0,83.0,100.0,94.0,82.0,100.0,97.0,100.0,94.0,94.0,96.0,100.0,100.0,100.0,100.0,94.0,81.0,87.0,67.0,100.0,95.0,97.0,88.0,98.0,100.0,87.0,98.0,100.0,89.0,91.0,85.0,82.0,77.0,92.0,94.0,100.0,84.0,96.0,78.0,67.0,73.0,87.0,100.0,89.0,100.0,100.0,67.0,100.0,83.0,100.0,100.0,65.0,97.0,91.0,62.0,100.0,100.0,99.0,99.0,83.0,95.0,78.0,84.0,96.0,85.0,79.0,81.0,86.0,60.0,73.0,91.0,90.0,86.0,93.0,92.0,81.0,75.0,90.0,100.0,95.0,76.0,96.0,86.0,93.0,100.0,77.0,91.0,81.0,97.0,90.0,93.0,89.0,89.0,87.0]
height=[98.0,89.0,88.0,79.0,100.0,83.0,100.0,94.0,82.0,100.0,97.0,100.0,94.0,94.0,96.0,100.0,100.0]
#bars = ('Baden','Eisenstadt','Weiz','Liezen','Güssing','Jennersdorf','Kirchdorf Krems','Spittal Drau','Voitsberg','Steyr','Bruck Leitha','Reutte','Mödling','Hollabrunn','Oberpullendorf','Grieskirchen','Sankt Pölten')
#bars=('Malacky','Námestovo','Pezinok','Liptovský Mikuláš','Zlaté Moravce','Trenčín','Žiar nad Hronom','Nové Mesto nad Váhom','Spišská Nová Ves','Krupina','Trebišov','Bardejov','Čadca','Dunajská Streda','Myjava','Banská Štiavnica','Senica','Tvrdošín','Hlohovec','Zvolen','Banská Bystrica','Košice','Levoča','Veľký Krtíš','Svidník','Komárno','Skalica','Bytča','Kežmarok','Louny','Prievidza','Žarnovica','Púchov','Žilina','Nitra','Martin','Michalovce','Trnava','Piešťany','Medzilaborce','Sabinov','Detva','Ilava','Humenné','Revúca','Bratislava','Vranov nad Topľou','Senec','Dolný Kubín','Partizánske','Topoľčany','Ružomberok','Bánovce nad Bebravou','Lučenec','Šaľa','Prešov','Levice','Poprad','Košice-Okolie','Rožňava','Stará Ľubovňa','Rimavská Sobota','Brezno','Považská Bystrica','Nové Zámky','Galanta','Snina','Blansko','Karlovy Vary','Příbram','Liberec','Praha-východ','Tábor','Přerov','Olomouc','Cheb','Plzeň-jih','Benešov','Česká Lípa','Rychnov nad Kněžnou','Děčín','Rakovník','Bruntál','Litoměřice','Beroun','Kroměříž','Brno-venkov','Prachatice','Rokycany','Plzeň-sever','Kolín','České Budějovice','Břeclav','Brno-město','Tachov','Šumperk','Mělník','Frýdek-Místek')
bars=('Malacky','Námestovo','Pezinok','Liptovský Mikuláš','Zlaté Moravce','Trenčín','Žiar nad Hronom','Nové Váhom','Spišská Nová Ves','Krupina','Trebišov','Bardejov','Čadca','Dunajská Streda','Myjava','Banská Štiavnica','Senica')
y_pos = np.arange(len(bars))
# Create bars
plt.bar(y_pos, height)
plt.xlabel("Admins");
plt.ylabel("Valid Ranges")
# Create names on the x-axis
plt.xticks(y_pos, bars,rotation=80)
# Show graphic
plt.show()
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