obs-auswertung/Auswertung-OpenBikeSensor.html

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<meta name="author" content="Walter Hupfeld, ADFC Hamm" />
<meta name="date" content="2024-09-26" />
<title>Auswertung OpenBikeSensor</title>
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<body>
<div class="container-fluid main-container">
<div id="header">
<h1 class="title toc-ignore">Auswertung OpenBikeSensor</h1>
<h4 class="author">Walter Hupfeld, ADFC Hamm</h4>
<h4 class="date">2024-09-26</h4>
</div>
<p>Ausgewertet wurden insgesamt 3790 Überholvorgänge mit einem
Mittelwert von 1.67. Innerhalb geschlossener Ortschaften wurden 2253
Überholvorgänge erfasst (Mittelwert 1.53). Außerhalb geschlossener
Ortschaften waren es 1537 bei einem Mittelwert von 1.86.</p>
<p>Der Datenexport erfolgte direkt aus der Datenbank des OBS-Portals <a href="https://obs.adfc-hamm.de">obs.adfc-hamm.de</a> mit folgendem
SQL-Statement:</p>
<pre><code>select o.id,o.way_id,o.distance_overtaker,distance_stationary,
o.direction_reversed,o.speed,o.time,r.name,r.zone
from overtaking_event o, road r
where o.way_id=r.way_id;</code></pre>
<div id="übersichtstabelle" class="section level3">
<h3>Übersichtstabelle</h3>
<table>
<colgroup>
<col width="20%" />
<col width="20%" />
<col width="20%" />
<col width="20%" />
<col width="20%" />
</colgroup>
<thead>
<tr class="header">
<th>Bereich</th>
<th>Gesamt</th>
<th align="center">Mittelwert</th>
<th align="center">Unterschreitungen</th>
<th align="center">Anteil</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Gesamt</td>
<td>3790</td>
<td align="center">1.67</td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr class="even">
<td>Innerorts</td>
<td>2253</td>
<td align="center">1.53</td>
<td align="center">1062</td>
<td align="center">47 %</td>
</tr>
<tr class="odd">
<td>Außerorts</td>
<td>1537</td>
<td align="center">1.86</td>
<td align="center">1015</td>
<td align="center">66 %</td>
</tr>
</tbody>
</table>
</div>
<div id="verteilung-der-überholvorgänge-innerhalb-geschlossener-ortschaften" class="section level3">
<h3>Verteilung der Überholvorgänge innerhalb geschlossener
Ortschaften</h3>
<p><img role="img" src="data:image/png;base64,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
</div>
<div id="verteilung-der-überholvorgänge-außerhalb-geschlossener-ortschaften" class="section level3">
<h3>Verteilung der Überholvorgänge außerhalb geschlossener
Ortschaften</h3>
<p><img role="img" src="data:image/png;base64,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
</div>
<div id="verteilung-insgesamt" class="section level3">
<h3>Verteilung insgesamt</h3>
<p><img role="img" src="data:image/png;base64,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
</div>
<div id="ausgewählte-straßen" class="section level2">
<h2>Ausgewählte Straßen</h2>
<div id="lange-straße" class="section level3">
<h3>Lange Straße</h3>
<p>Die Lange Straße ist Bestandteil der geplanten Radhauptroute nach
Herringen. Zwischen Wilhelmstraße und Radbodstraße gilt hier Tempo 30,
ab Radbodstraße bis Bonifatiusweg Tempo 50.</p>
<p><img role="img" src="data:image/png;base64,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
</div>
<div id="römerstraße" class="section level3">
<h3>Römerstraße</h3>
<p><img role="img" src="data:image/png;base64,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
</div>
</div>
<div id="gesamtübersicht-einzelner-straßen" class="section level2">
<h2>Gesamtübersicht einzelner Straßen</h2>
<p>In den folgenden Tabellen werden ausschließlich Straßen mit mehr als
20 Überholvorgängen dargestellt. Es wird differenziert nach Straßen
innerorts und außerhalb geschlossener Ortschaften.</p>
<div id="straßen-innerorts" class="section level3">
<h3>Straßen innerorts</h3>
<table>
<thead>
<tr class="header">
<th align="left">Name</th>
<th align="right">Anzahl</th>
<th align="right">Mittelwert</th>
<th align="right">Anzahl &lt; 1.5m</th>
<th align="right">Anteil &lt; 1.5m</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">Ahornallee</td>
<td align="right">183</td>
<td align="right">1.86</td>
<td align="right">30</td>
<td align="right">16 %</td>
</tr>
<tr class="even">
<td align="left">An der Lohschule</td>
<td align="right">90</td>
<td align="right">1.47</td>
<td align="right">45</td>
<td align="right">50 %</td>
</tr>
<tr class="odd">
<td align="left">Banningstraße</td>
<td align="right">113</td>
<td align="right">1.61</td>
<td align="right">43</td>
<td align="right">38 %</td>
</tr>
<tr class="even">
<td align="left">Birkenallee</td>
<td align="right">27</td>
<td align="right">2.08</td>
<td align="right">0</td>
<td align="right">0 %</td>
</tr>
<tr class="odd">
<td align="left">Caldenhofer Weg</td>
<td align="right">22</td>
<td align="right">1.77</td>
<td align="right">3</td>
<td align="right">14 %</td>
</tr>
<tr class="even">
<td align="left">Dortmunder Straße</td>
<td align="right">25</td>
<td align="right">1.62</td>
<td align="right">7</td>
<td align="right">28 %</td>
</tr>
<tr class="odd">
<td align="left">Geranienstraße</td>
<td align="right">22</td>
<td align="right">1.74</td>
<td align="right">4</td>
<td align="right">18 %</td>
</tr>
<tr class="even">
<td align="left">Grönebergstraße</td>
<td align="right">43</td>
<td align="right">1.49</td>
<td align="right">22</td>
<td align="right">51 %</td>
</tr>
<tr class="odd">
<td align="left">Kleine Werlstraße</td>
<td align="right">27</td>
<td align="right">1.58</td>
<td align="right">11</td>
<td align="right">41 %</td>
</tr>
<tr class="even">
<td align="left">Lange Straße</td>
<td align="right">54</td>
<td align="right">1.48</td>
<td align="right">35</td>
<td align="right">65 %</td>
</tr>
<tr class="odd">
<td align="left">Marker Allee</td>
<td align="right">80</td>
<td align="right">1.39</td>
<td align="right">56</td>
<td align="right">70 %</td>
</tr>
<tr class="even">
<td align="left">Marker Dorfstraße</td>
<td align="right">27</td>
<td align="right">1.39</td>
<td align="right">16</td>
<td align="right">59 %</td>
</tr>
<tr class="odd">
<td align="left">Nordenstiftsweg</td>
<td align="right">28</td>
<td align="right">1.52</td>
<td align="right">13</td>
<td align="right">46 %</td>
</tr>
<tr class="even">
<td align="left">Oberonstraße</td>
<td align="right">98</td>
<td align="right">1.65</td>
<td align="right">36</td>
<td align="right">37 %</td>
</tr>
<tr class="odd">
<td align="left">Östingstraße</td>
<td align="right">55</td>
<td align="right">1.70</td>
<td align="right">21</td>
<td align="right">38 %</td>
</tr>
<tr class="even">
<td align="left">Osttünner Weg</td>
<td align="right">110</td>
<td align="right">1.15</td>
<td align="right">88</td>
<td align="right">80 %</td>
</tr>
<tr class="odd">
<td align="left">Rathenaustraße</td>
<td align="right">423</td>
<td align="right">1.57</td>
<td align="right">182</td>
<td align="right">43 %</td>
</tr>
<tr class="even">
<td align="left">Rhynerberg</td>
<td align="right">21</td>
<td align="right">1.36</td>
<td align="right">13</td>
<td align="right">62 %</td>
</tr>
<tr class="odd">
<td align="left">Robert-Koch-Straße</td>
<td align="right">27</td>
<td align="right">1.52</td>
<td align="right">11</td>
<td align="right">41 %</td>
</tr>
<tr class="even">
<td align="left">Römerstraße</td>
<td align="right">29</td>
<td align="right">1.27</td>
<td align="right">17</td>
<td align="right">59 %</td>
</tr>
<tr class="odd">
<td align="left">Soester Straße</td>
<td align="right">156</td>
<td align="right">1.54</td>
<td align="right">69</td>
<td align="right">44 %</td>
</tr>
<tr class="even">
<td align="left">Werler Straße</td>
<td align="right">34</td>
<td align="right">1.63</td>
<td align="right">13</td>
<td align="right">38 %</td>
</tr>
</tbody>
</table>
</div>
<div id="boxplots-für-einzelne-straßen" class="section level3">
<h3>Boxplots für einzelne Straßen</h3>
<p><img role="img" src="data:image/png;base64,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
</div>
<div id="straßen-außerhalb-geschlossener-ortschaften" class="section level3">
<h3>Straßen außerhalb geschlossener Ortschaften</h3>
<table>
<thead>
<tr class="header">
<th align="left">Name</th>
<th align="right">Anzahl</th>
<th align="right">Mittelwert</th>
<th align="right">Anzahl &lt; 2m</th>
<th align="right">Anteil &lt; 2m</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">Ahornallee</td>
<td align="right">386</td>
<td align="right">1.86</td>
<td align="right">265</td>
<td align="right">69 %</td>
</tr>
<tr class="even">
<td align="left">An der Lohschule</td>
<td align="right">73</td>
<td align="right">1.81</td>
<td align="right">49</td>
<td align="right">67 %</td>
</tr>
<tr class="odd">
<td align="left">Birkenallee</td>
<td align="right">418</td>
<td align="right">1.85</td>
<td align="right">289</td>
<td align="right">69 %</td>
</tr>
<tr class="even">
<td align="left">Kamener Straße</td>
<td align="right">614</td>
<td align="right">1.90</td>
<td align="right">376</td>
<td align="right">61 %</td>
</tr>
</tbody>
</table>
</div>
<div id="boxplots-für-einzelne-straßen-1" class="section level3">
<h3>Boxplots für einzelne Straßen</h3>
<p><img role="img" src="data:image/png;base64,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
</div>
</div>
<div id="alle-straßen" class="section level2">
<h2>Alle Straßen</h2>
<p>Die folgende Tabelle zeigt alle Straßen innerorts mit mehr als 5
Messungen.</p>
<table>
<colgroup>
<col width="31%" />
<col width="10%" />
<col width="16%" />
<col width="20%" />
<col width="20%" />
</colgroup>
<thead>
<tr class="header">
<th align="left">name</th>
<th align="right">Anzahl</th>
<th align="right">Mittelwert</th>
<th align="right">Anzahl &lt; 1.5m</th>
<th align="right">Anteil &lt; 1.5m</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">Heessener Straße</td>
<td align="right">9</td>
<td align="right">1.29</td>
<td align="right">8</td>
<td align="right">89 %</td>
</tr>
<tr class="even">
<td align="left">Alleestraße</td>
<td align="right">7</td>
<td align="right">1.18</td>
<td align="right">6</td>
<td align="right">86 %</td>
</tr>
<tr class="odd">
<td align="left">Südfeldweg</td>
<td align="right">6</td>
<td align="right">1.32</td>
<td align="right">5</td>
<td align="right">83 %</td>
</tr>
<tr class="even">
<td align="left">Osttünner Weg</td>
<td align="right">110</td>
<td align="right">1.15</td>
<td align="right">88</td>
<td align="right">80 %</td>
</tr>
<tr class="odd">
<td align="left">Am Hämmschen</td>
<td align="right">14</td>
<td align="right">1.11</td>
<td align="right">11</td>
<td align="right">79 %</td>
</tr>
<tr class="even">
<td align="left">Am Hagenkamp</td>
<td align="right">14</td>
<td align="right">1.44</td>
<td align="right">11</td>
<td align="right">79 %</td>
</tr>
<tr class="odd">
<td align="left">Schwarzer Weg</td>
<td align="right">8</td>
<td align="right">1.44</td>
<td align="right">6</td>
<td align="right">75 %</td>
</tr>
<tr class="even">
<td align="left">Brehmstraße</td>
<td align="right">8</td>
<td align="right">1.12</td>
<td align="right">6</td>
<td align="right">75 %</td>
</tr>
<tr class="odd">
<td align="left">Ostenwall</td>
<td align="right">7</td>
<td align="right">1.29</td>
<td align="right">5</td>
<td align="right">71 %</td>
</tr>
<tr class="even">
<td align="left">Marker Allee</td>
<td align="right">80</td>
<td align="right">1.39</td>
<td align="right">56</td>
<td align="right">70 %</td>
</tr>
<tr class="odd">
<td align="left">Lohauserholzstraße</td>
<td align="right">10</td>
<td align="right">1.41</td>
<td align="right">7</td>
<td align="right">70 %</td>
</tr>
<tr class="even">
<td align="left">Eichstedtstraße</td>
<td align="right">10</td>
<td align="right">1.35</td>
<td align="right">7</td>
<td align="right">70 %</td>
</tr>
<tr class="odd">
<td align="left">Heßlerstraße</td>
<td align="right">6</td>
<td align="right">1.42</td>
<td align="right">4</td>
<td align="right">67 %</td>
</tr>
<tr class="even">
<td align="left">Lange Straße</td>
<td align="right">54</td>
<td align="right">1.48</td>
<td align="right">35</td>
<td align="right">65 %</td>
</tr>
<tr class="odd">
<td align="left">Rhynerberg</td>
<td align="right">21</td>
<td align="right">1.36</td>
<td align="right">13</td>
<td align="right">62 %</td>
</tr>
<tr class="even">
<td align="left">Eschenallee</td>
<td align="right">8</td>
<td align="right">1.34</td>
<td align="right">5</td>
<td align="right">62 %</td>
</tr>
<tr class="odd">
<td align="left">Reginenstraße</td>
<td align="right">20</td>
<td align="right">1.42</td>
<td align="right">12</td>
<td align="right">60 %</td>
</tr>
<tr class="even">
<td align="left">Römerstraße</td>
<td align="right">29</td>
<td align="right">1.27</td>
<td align="right">17</td>
<td align="right">59 %</td>
</tr>
<tr class="odd">
<td align="left">Marker Dorfstraße</td>
<td align="right">27</td>
<td align="right">1.39</td>
<td align="right">16</td>
<td align="right">59 %</td>
</tr>
<tr class="even">
<td align="left">Alte Salzstraße</td>
<td align="right">7</td>
<td align="right">1.46</td>
<td align="right">4</td>
<td align="right">57 %</td>
</tr>
<tr class="odd">
<td align="left">Dambergstraße</td>
<td align="right">13</td>
<td align="right">1.54</td>
<td align="right">7</td>
<td align="right">54 %</td>
</tr>
<tr class="even">
<td align="left">Grönebergstraße</td>
<td align="right">43</td>
<td align="right">1.49</td>
<td align="right">22</td>
<td align="right">51 %</td>
</tr>
<tr class="odd">
<td align="left">Ostendorfstraße</td>
<td align="right">18</td>
<td align="right">1.67</td>
<td align="right">9</td>
<td align="right">50 %</td>
</tr>
<tr class="even">
<td align="left">Gallberger Weg</td>
<td align="right">8</td>
<td align="right">1.44</td>
<td align="right">4</td>
<td align="right">50 %</td>
</tr>
<tr class="odd">
<td align="left">An der Lohschule</td>
<td align="right">90</td>
<td align="right">1.47</td>
<td align="right">45</td>
<td align="right">50 %</td>
</tr>
<tr class="even">
<td align="left">Nordenstiftsweg</td>
<td align="right">28</td>
<td align="right">1.52</td>
<td align="right">13</td>
<td align="right">46 %</td>
</tr>
<tr class="odd">
<td align="left">Soester Straße</td>
<td align="right">156</td>
<td align="right">1.54</td>
<td align="right">69</td>
<td align="right">44 %</td>
</tr>
<tr class="even">
<td align="left">Rathenaustraße</td>
<td align="right">423</td>
<td align="right">1.57</td>
<td align="right">182</td>
<td align="right">43 %</td>
</tr>
<tr class="odd">
<td align="left">Josef-Wiefels-Straße</td>
<td align="right">7</td>
<td align="right">1.55</td>
<td align="right">3</td>
<td align="right">43 %</td>
</tr>
<tr class="even">
<td align="left">Bismarckstraße</td>
<td align="right">14</td>
<td align="right">1.46</td>
<td align="right">6</td>
<td align="right">43 %</td>
</tr>
<tr class="odd">
<td align="left">Robert-Koch-Straße</td>
<td align="right">27</td>
<td align="right">1.52</td>
<td align="right">11</td>
<td align="right">41 %</td>
</tr>
<tr class="even">
<td align="left">Kleine Werlstraße</td>
<td align="right">27</td>
<td align="right">1.58</td>
<td align="right">11</td>
<td align="right">41 %</td>
</tr>
<tr class="odd">
<td align="left">Werler Straße</td>
<td align="right">34</td>
<td align="right">1.63</td>
<td align="right">13</td>
<td align="right">38 %</td>
</tr>
<tr class="even">
<td align="left">Von-Thünen-Straße</td>
<td align="right">8</td>
<td align="right">1.60</td>
<td align="right">3</td>
<td align="right">38 %</td>
</tr>
<tr class="odd">
<td align="left">Östingstraße</td>
<td align="right">55</td>
<td align="right">1.70</td>
<td align="right">21</td>
<td align="right">38 %</td>
</tr>
<tr class="even">
<td align="left">Banningstraße</td>
<td align="right">113</td>
<td align="right">1.61</td>
<td align="right">43</td>
<td align="right">38 %</td>
</tr>
<tr class="odd">
<td align="left">Oberonstraße</td>
<td align="right">98</td>
<td align="right">1.65</td>
<td align="right">36</td>
<td align="right">37 %</td>
</tr>
<tr class="even">
<td align="left">Goethestraße</td>
<td align="right">20</td>
<td align="right">1.69</td>
<td align="right">6</td>
<td align="right">30 %</td>
</tr>
<tr class="odd">
<td align="left">Fangstraße</td>
<td align="right">7</td>
<td align="right">1.62</td>
<td align="right">2</td>
<td align="right">29 %</td>
</tr>
<tr class="even">
<td align="left">Amtsstraße</td>
<td align="right">7</td>
<td align="right">1.66</td>
<td align="right">2</td>
<td align="right">29 %</td>
</tr>
<tr class="odd">
<td align="left">Dortmunder Straße</td>
<td align="right">25</td>
<td align="right">1.62</td>
<td align="right">7</td>
<td align="right">28 %</td>
</tr>
<tr class="even">
<td align="left">Berkenstraße</td>
<td align="right">18</td>
<td align="right">1.55</td>
<td align="right">5</td>
<td align="right">28 %</td>
</tr>
<tr class="odd">
<td align="left">Theodor-Heuss-Platz</td>
<td align="right">11</td>
<td align="right">1.78</td>
<td align="right">3</td>
<td align="right">27 %</td>
</tr>
<tr class="even">
<td align="left">Unterer Heideweg</td>
<td align="right">13</td>
<td align="right">1.55</td>
<td align="right">3</td>
<td align="right">23 %</td>
</tr>
<tr class="odd">
<td align="left">Geranienstraße</td>
<td align="right">22</td>
<td align="right">1.74</td>
<td align="right">4</td>
<td align="right">18 %</td>
</tr>
<tr class="even">
<td align="left">Ahornallee</td>
<td align="right">183</td>
<td align="right">1.86</td>
<td align="right">30</td>
<td align="right">16 %</td>
</tr>
<tr class="odd">
<td align="left">Weetfelder Straße</td>
<td align="right">7</td>
<td align="right">1.69</td>
<td align="right">1</td>
<td align="right">14 %</td>
</tr>
<tr class="even">
<td align="left">Caldenhofer Weg</td>
<td align="right">22</td>
<td align="right">1.77</td>
<td align="right">3</td>
<td align="right">14 %</td>
</tr>
<tr class="odd">
<td align="left">Im Süderholt</td>
<td align="right">8</td>
<td align="right">1.69</td>
<td align="right">1</td>
<td align="right">12 %</td>
</tr>
<tr class="even">
<td align="left">Friedrichstraße</td>
<td align="right">9</td>
<td align="right">0.96</td>
<td align="right">9</td>
<td align="right">100 %</td>
</tr>
<tr class="odd">
<td align="left">Birkenallee</td>
<td align="right">27</td>
<td align="right">2.08</td>
<td align="right">0</td>
<td align="right">0 %</td>
</tr>
<tr class="even">
<td align="left">An der Windmühle</td>
<td align="right">7</td>
<td align="right">2.02</td>
<td align="right">0</td>
<td align="right">0 %</td>
</tr>
</tbody>
</table>
</div>
</div>
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