Roundabout Curvature Bounding box Data

Citation Author(s):
Rakesh
Singh
Submitted by:
Rakesh Singh
Last updated:
Mon, 03/21/2022 - 04:36
DOI:
10.21227/v3wq-0s51
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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 programimport plotly.graph_objects as golabels = ['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()----------------------------------# Librariesimport numpy as npimport 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 barsplt.bar(y_pos, height)plt.xlabel("Admins");plt.ylabel("Valid Ranges")# Create names on the x-axisplt.xticks(y_pos, bars,rotation=80)# Show graphicplt.show()

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Submitted by Rakesh Singh on Tue, 12/07/2021 - 06:21

Dataset Files

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