config.properties.xml Maven / Gradle / Ivy
<?xml version="1.0" encoding="ISO-8859-1"?>
<evcustomer-root>
<evcustomer>
<!-- This is the singleton common configuration stuff -->
<config>
<touFactor>0.25</touFactor>
<interruptibilityFactor>0.01</interruptibilityFactor>
<beanTypes>SocialGroup,ClassGroup,CarType,ClassCar,Activity,GroupActivity</beanTypes>
</config>
<!-- These are the actual customer instances -->
<customers>
<evSocialClass>
<instances>HighIncome-1,HighIncome-2,
MiddleIncome-1,MiddleIncome-2,MiddleIncome-3,
LowIncome-1</instances>
<HighIncome-1>
<minCount>10</minCount>
<maxCount>20</maxCount>
</HighIncome-1>
<HighIncome-2>
<minCount>15</minCount>
<maxCount>25</maxCount>
</HighIncome-2>
<MiddleIncome-1>
<minCount>20</minCount>
<maxCount>30</maxCount>
</MiddleIncome-1>
<MiddleIncome-2>
<minCount>20</minCount>
<maxCount>30</maxCount>
</MiddleIncome-2>
<MiddleIncome-3>
<minCount>20</minCount>
<maxCount>30</maxCount>
</MiddleIncome-3>
<LowIncome-1>
<minCount>10</minCount>
<maxCount>20</maxCount>
</LowIncome-1>
</evSocialClass>
</customers>
<beans>
<socialGroup>
<instances>parttime,fulltime,unemployed,student,other,retired,disabled</instances>
<!-- <under15>
<id>0</id>
</under15> -->
<parttime>
<id>1</id>
</parttime>
<fulltime>
<id>2</id>
</fulltime>
<unemployed>
<id>3</id>
</unemployed>
<student>
<id>4</id>
</student>
<other>
<id>5</id>
</other>
<retired>
<id>6</id>
</retired>
<disabled>
<id>7</id>
</disabled>
</socialGroup>
<!-- Every group in SocialGroups has to be in every SocialClass -->
<!-- TODO Get the probabilities of the groups per class -->
<classGroup>
<instances>h1g1,h1g2,h1g3,h1g4,h1g5,h1g6,h1g7,
h2g1,h2g2,h2g3,h2g4,h2g5,h2g6,h2g7,
m1g1,m1g2,m1g3,m1g4,m1g5,m1g6,m1g7,
m2g1,m2g2,m2g3,m2g4,m2g5,m2g6,m2g7,
m3g1,m3g2,m3g3,m3g4,m3g5,m3g6,m3g7,
l1g1,l1g2,l1g3,l1g4,l1g5,l1g6,l1g7</instances>
<h1g1>
<socialClassName>HighIncome-1</socialClassName>
<groupId>1</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</h1g1>
<h1g2>
<socialClassName>HighIncome-1</socialClassName>
<groupId>2</groupId>
<probability>0.9</probability>
<maleProbability>0.50</maleProbability>
</h1g2>
<h1g3>
<socialClassName>HighIncome-1</socialClassName>
<groupId>3</groupId>
<probability>0.05</probability>
<maleProbability>0.50</maleProbability>
</h1g3>
<h1g4>
<socialClassName>HighIncome-1</socialClassName>
<groupId>4</groupId>
<probability>0.02</probability>
<maleProbability>0.50</maleProbability>
</h1g4>
<h1g5>
<socialClassName>HighIncome-1</socialClassName>
<groupId>5</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</h1g5>
<h1g6>
<socialClassName>HighIncome-1</socialClassName>
<groupId>6</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</h1g6>
<h1g7>
<socialClassName>HighIncome-1</socialClassName>
<groupId>7</groupId>
<probability>0.1</probability>
<maleProbability>0.50</maleProbability>
</h1g7>
<h2g1>
<socialClassName>HighIncome-2</socialClassName>
<groupId>1</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</h2g1>
<h2g2>
<socialClassName>HighIncome-2</socialClassName>
<groupId>2</groupId>
<probability>0.8</probability>
<maleProbability>0.50</maleProbability>
</h2g2>
<h2g3>
<socialClassName>HighIncome-2</socialClassName>
<groupId>3</groupId>
<probability>0.03</probability>
<maleProbability>0.50</maleProbability>
</h2g3>
<h2g4>
<socialClassName>HighIncome-2</socialClassName>
<groupId>4</groupId>
<probability>0.05</probability>
<maleProbability>0.50</maleProbability>
</h2g4>
<h2g5>
<socialClassName>HighIncome-2</socialClassName>
<groupId>5</groupId>
<probability>0.1</probability>
<maleProbability>0.50</maleProbability>
</h2g5>
<h2g6>
<socialClassName>HighIncome-2</socialClassName>
<groupId>6</groupId>
<probability>0.2</probability>
<maleProbability>0.50</maleProbability>
</h2g6>
<h2g7>
<socialClassName>HighIncome-2</socialClassName>
<groupId>7</groupId>
<probability>0.05</probability>
<maleProbability>0.50</maleProbability>
</h2g7>
<m1g1>
<socialClassName>MiddleIncome-1</socialClassName>
<groupId>1</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m1g1>
<m1g2>
<socialClassName>MiddleIncome-1</socialClassName>
<groupId>2</groupId>
<probability>0.7</probability>
<maleProbability>0.50</maleProbability>
</m1g2>
<m1g3>
<socialClassName>MiddleIncome-1</socialClassName>
<groupId>3</groupId>
<probability>0.05</probability>
<maleProbability>0.50</maleProbability>
</m1g3>
<m1g4>
<socialClassName>MiddleIncome-1</socialClassName>
<groupId>4</groupId>
<probability>0.05</probability>
<maleProbability>0.50</maleProbability>
</m1g4>
<m1g5>
<socialClassName>MiddleIncome-1</socialClassName>
<groupId>5</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m1g5>
<m1g6>
<socialClassName>MiddleIncome-1</socialClassName>
<groupId>6</groupId>
<probability>0.3</probability>
<maleProbability>0.50</maleProbability>
</m1g6>
<m1g7>
<socialClassName>MiddleIncome-1</socialClassName>
<groupId>7</groupId>
<probability>0.1</probability>
<maleProbability>0.50</maleProbability>
</m1g7>
<m2g1>
<socialClassName>MiddleIncome-2</socialClassName>
<groupId>1</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m2g1>
<m2g2>
<socialClassName>MiddleIncome-2</socialClassName>
<groupId>2</groupId>
<probability>0.85</probability>
<maleProbability>0.50</maleProbability>
</m2g2>
<m2g3>
<socialClassName>MiddleIncome-2</socialClassName>
<groupId>3</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m2g3>
<m2g4>
<socialClassName>MiddleIncome-2</socialClassName>
<groupId>4</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m2g4>
<m2g5>
<socialClassName>MiddleIncome-2</socialClassName>
<groupId>5</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m2g5>
<m2g6>
<socialClassName>MiddleIncome-2</socialClassName>
<groupId>6</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m2g6>
<m2g7>
<socialClassName>MiddleIncome-2</socialClassName>
<groupId>7</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m2g7>
<m3g1>
<socialClassName>MiddleIncome-3</socialClassName>
<groupId>1</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m3g1>
<m3g2>
<socialClassName>MiddleIncome-3</socialClassName>
<groupId>2</groupId>
<probability>0.9</probability>
<maleProbability>0.50</maleProbability>
</m3g2>
<m3g3>
<socialClassName>MiddleIncome-3</socialClassName>
<groupId>3</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m3g3>
<m3g4>
<socialClassName>MiddleIncome-3</socialClassName>
<groupId>4</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m3g4>
<m3g5>
<socialClassName>MiddleIncome-3</socialClassName>
<groupId>5</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m3g5>
<m3g6>
<socialClassName>MiddleIncome-3</socialClassName>
<groupId>6</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m3g6>
<m3g7>
<socialClassName>MiddleIncome-3</socialClassName>
<groupId>7</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</m3g7>
<l1g1>
<socialClassName>LowIncome-1</socialClassName>
<groupId>1</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</l1g1>
<l1g2>
<socialClassName>LowIncome-1</socialClassName>
<groupId>2</groupId>
<probability>0.6</probability>
<maleProbability>0.50</maleProbability>
</l1g2>
<l1g3>
<socialClassName>LowIncome-1</socialClassName>
<groupId>3</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</l1g3>
<l1g4>
<socialClassName>LowIncome-1</socialClassName>
<groupId>4</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</l1g4>
<l1g5>
<socialClassName>LowIncome-1</socialClassName>
<groupId>5</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</l1g5>
<l1g6>
<socialClassName>LowIncome-1</socialClassName>
<groupId>6</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</l1g6>
<l1g7>
<socialClassName>LowIncome-1</socialClassName>
<groupId>7</groupId>
<probability>0.125</probability>
<maleProbability>0.50</maleProbability>
</l1g7>
</classGroup>
<carType>
<instances>Tesla40,Tesla60,Tesla85,Leaf24</instances>
<!--
kwh is the maximum capacity of the battery
range is the maximum range of a full battery
charging is in kwh/h (== kw)
-->
<Tesla40>
<maxCapacity>40</maxCapacity>
<range>257.6</range>
<homeChargeKW>3.3</homeChargeKW>
<awayChargeKW>3.3</awayChargeKW>
</Tesla40>
<Tesla60>
<maxCapacity>60</maxCapacity>
<range>370.3</range>
<homeChargeKW>3.3</homeChargeKW>
<awayChargeKW>3.3</awayChargeKW>
</Tesla60>
<Tesla85>
<maxCapacity>85</maxCapacity>
<range>563.5</range>
<homeChargeKW>3.3</homeChargeKW>
<awayChargeKW>3.3</awayChargeKW>
</Tesla85>
<Leaf24>
<maxCapacity>24</maxCapacity>
<range>222.2</range>
<homeChargeKW>6.6</homeChargeKW>
<awayChargeKW>3.3</awayChargeKW>
</Leaf24>
</carType>
<!-- Join table socialClass : carType -->
<classCar>
<instances>h1t40,h1t60,h1t85,h1l24,
h2t40,h2t60,h2t85,h2l24,
m1t40,m1t60,m1t85,m1l24,
m2t40,m2t60,m2t85,m2l24,
m3t40,m3t60,m3t85,m3l24,
l1t40,l1t60,l1t85,l1l24</instances>
<h1t40>
<socialClass>HighIncome-1</socialClass>
<car>Tesla40</car>
<probability>0.7</probability>
</h1t40>
<h1t60>
<socialClass>HighIncome-1</socialClass>
<car>Tesla60</car>
<probability>0.6</probability>
</h1t60>
<h1t85>
<socialClass>HighIncome-1</socialClass>
<car>Tesla85</car>
<probability>0.5</probability>
</h1t85>
<h1l24>
<socialClass>HighIncome-1</socialClass>
<car>Leaf24</car>
<probability>0.4</probability>
</h1l24>
<h2t40>
<socialClass>HighIncome-2</socialClass>
<car>Tesla40</car>
<probability>0.5</probability>
</h2t40>
<h2t60>
<socialClass>HighIncome-2</socialClass>
<car>Tesla60</car>
<probability>0.5</probability>
</h2t60>
<h2t85>
<socialClass>HighIncome-2</socialClass>
<car>Tesla85</car>
<probability>0.6</probability>
</h2t85>
<h2l24>
<socialClass>HighIncome-2</socialClass>
<car>Leaf24</car>
<probability>0.5</probability>
</h2l24>
<m1t40>
<socialClass>MiddleIncome-1</socialClass>
<car>Tesla40</car>
<probability>0.15</probability>
</m1t40>
<m1t60>
<socialClass>MiddleIncome-1</socialClass>
<car>Tesla60</car>
<probability>0.1</probability>
</m1t60>
<m1t85>
<socialClass>MiddleIncome-1</socialClass>
<car>Tesla85</car>
<probability>0.05</probability>
</m1t85>
<m1l24>
<socialClass>MiddleIncome-1</socialClass>
<car>Leaf24</car>
<probability>0.8</probability>
</m1l24>
<m2t40>
<socialClass>MiddleIncome-2</socialClass>
<car>Tesla40</car>
<probability>0.4</probability>
</m2t40>
<m2t60>
<socialClass>MiddleIncome-2</socialClass>
<car>Tesla60</car>
<probability>0.3</probability>
</m2t60>
<m2t85>
<socialClass>MiddleIncome-2</socialClass>
<car>Tesla85</car>
<probability>0.2</probability>
</m2t85>
<m2l24>
<socialClass>MiddleIncome-2</socialClass>
<car>Leaf24</car>
<probability>0.8</probability>
</m2l24>
<m3t40>
<socialClass>MiddleIncome-3</socialClass>
<car>Tesla40</car>
<probability>0.3</probability>
</m3t40>
<m3t60>
<socialClass>MiddleIncome-3</socialClass>
<car>Tesla60</car>
<probability>0.2</probability>
</m3t60>
<m3t85>
<socialClass>MiddleIncome-3</socialClass>
<car>Tesla85</car>
<probability>0.1</probability>
</m3t85>
<m3l24>
<socialClass>MiddleIncome-3</socialClass>
<car>Leaf24</car>
<probability>0.8</probability>
</m3l24>
<l1t40>
<socialClass>LowIncome-1</socialClass>
<car>Tesla40</car>
<probability>0.05</probability>
</l1t40>
<l1t60>
<socialClass>LowIncome-1</socialClass>
<car>Tesla60</car>
<probability>0.01</probability>
</l1t60>
<l1t85>
<socialClass>LowIncome-1</socialClass>
<car>Tesla85</car>
<probability>0.001</probability>
</l1t85>
<l1l24>
<socialClass>LowIncome-1</socialClass>
<car>Leaf24</car>
<probability>0.99</probability>
</l1l24>
</classCar>
<!-- TODO We need proper day- and hour-weights -->
<!-- For now, they aren't even used ... -->
<activity>
<instances>commuting,business_trip,personal_care,shopping,education,visit,sports,touring,other</instances>
<commuting>
<id>0</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</commuting>
<business_trip>
<id>1</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</business_trip>
<personal_care>
<id>2</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</personal_care>
<shopping>
<id>3</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</shopping>
<education>
<id>4</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</education>
<visit>
<id>5</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</visit>
<sports>
<id>6</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</sports>
<touring>
<id>7</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</touring>
<other>
<id>8</id>
<weekdayWeight>1</weekdayWeight>
<weekendWeight>1</weekendWeight>
</other>
</activity>
<!-- Join table group:activity -->
<!--doubling the driving distance to be more realistic, that might have to change later -->
<groupActivity>
<instances>ga1_0,ga1_1,ga1_2,ga1_3,ga1_4,ga1_5,ga1_6,ga1_7,ga1_8,
ga2_0,ga2_1,ga2_2,ga2_3,ga2_4,ga2_5,ga2_6,ga2_7,ga2_8,
ga3_0,ga3_1,ga3_2,ga3_3,ga3_4,ga3_5,ga3_6,ga3_7,ga3_8,
ga4_0,ga4_1,ga4_2,ga4_3,ga4_4,ga4_5,ga4_6,ga4_7,ga4_8,
ga5_0,ga5_1,ga5_2,ga5_3,ga5_4,ga5_5,ga5_6,ga5_7,ga5_8,
ga6_0,ga6_1,ga6_2,ga6_3,ga6_4,ga6_5,ga6_6,ga6_7,ga6_8,
ga7_0,ga7_1,ga7_2,ga7_3,ga7_4,ga7_5,ga7_6,ga7_7,ga7_8</instances>
<ga1_0>
<groupId>1</groupId>
<activityId>0</activityId>
<maleDailyKm>20.62</maleDailyKm>
<maleProbability>0.74</maleProbability>
<femaleDailyKm>16.28</femaleDailyKm>
<femaleProbability>0.78</femaleProbability>
</ga1_0>
<ga1_1>
<groupId>1</groupId>
<activityId>1</activityId>
<maleDailyKm>1.82</maleDailyKm>
<maleProbability>0.05</maleProbability>
<femaleDailyKm>1.69</femaleDailyKm>
<femaleProbability>0.03</femaleProbability>
</ga1_1>
<ga1_2>
<groupId>1</groupId>
<activityId>2</activityId>
<maleDailyKm>1.88</maleDailyKm>
<maleProbability>0.08</maleProbability>
<femaleDailyKm>1.9</femaleDailyKm>
<femaleProbability>0.12</femaleProbability>
</ga1_2>
<ga1_3>
<groupId>1</groupId>
<activityId>3</activityId>
<maleDailyKm>4.02</maleDailyKm>
<maleProbability>0.53</maleProbability>
<femaleDailyKm>6.69</femaleDailyKm>
<femaleProbability>0.82</femaleProbability>
</ga1_3>
<ga1_4>
<groupId>1</groupId>
<activityId>4</activityId>
<maleDailyKm>2.91</maleDailyKm>
<maleProbability>0.15</maleProbability>
<femaleDailyKm>1.96</femaleDailyKm>
<femaleProbability>0.14</femaleProbability>
</ga1_4>
<ga1_5>
<groupId>1</groupId>
<activityId>5</activityId>
<maleDailyKm>8.31</maleDailyKm>
<maleProbability>0.33</maleProbability>
<femaleDailyKm>10.11</femaleDailyKm>
<femaleProbability>0.39</femaleProbability>
</ga1_5>
<ga1_6>
<groupId>1</groupId>
<activityId>6</activityId>
<maleDailyKm>8</maleDailyKm>
<maleProbability>0.48</maleProbability>
<femaleDailyKm>10.15</femaleDailyKm>
<femaleProbability>0.43</femaleProbability>
</ga1_6>
<ga1_7>
<groupId>1</groupId>
<activityId>7</activityId>
<maleDailyKm>2.03</maleDailyKm>
<maleProbability>0.14</maleProbability>
<femaleDailyKm>1.82</femaleDailyKm>
<femaleProbability>0.21</femaleProbability>
</ga1_7>
<ga1_8>
<groupId>1</groupId>
<activityId>8</activityId>
<maleDailyKm>8.26</maleDailyKm>
<maleProbability>0.37</maleProbability>
<femaleDailyKm>6.51</femaleDailyKm>
<femaleProbability>0.52</femaleProbability>
</ga1_8>
<ga2_0>
<groupId>2</groupId>
<activityId>0</activityId>
<maleDailyKm>46.31</maleDailyKm>
<maleProbability>1.04</maleProbability>
<femaleDailyKm>30.58</femaleDailyKm>
<femaleProbability>0.99</femaleProbability>
</ga2_0>
<ga2_1>
<groupId>2</groupId>
<activityId>1</activityId>
<maleDailyKm>80.99</maleDailyKm>
<maleProbability>0.13</maleProbability>
<femaleDailyKm>40.18</femaleDailyKm>
<femaleProbability>0.1</femaleProbability>
</ga2_1>
<ga2_2>
<groupId>2</groupId>
<activityId>2</activityId>
<maleDailyKm>1.85</maleDailyKm>
<maleProbability>0.08</maleProbability>
<femaleDailyKm>1.88</femaleDailyKm>
<femaleProbability>0.08</femaleProbability>
</ga2_2>
<ga2_3>
<groupId>2</groupId>
<activityId>3</activityId>
<maleDailyKm>4.43</maleDailyKm>
<maleProbability>0.41</maleProbability>
<femaleDailyKm>6.51</femaleDailyKm>
<femaleProbability>0.09</femaleProbability>
</ga2_3>
<ga2_4>
<groupId>2</groupId>
<activityId>4</activityId>
<maleDailyKm>1.58</maleDailyKm>
<maleProbability>0.03</maleProbability>
<femaleDailyKm>1.99</femaleDailyKm>
<femaleProbability>0.06</femaleProbability>
</ga2_4>
<ga2_5>
<groupId>2</groupId>
<activityId>5</activityId>
<maleDailyKm>8.38</maleDailyKm>
<maleProbability>0.25</maleProbability>
<femaleDailyKm>10.21</femaleDailyKm>
<femaleProbability>0.33</femaleProbability>
</ga2_5>
<ga2_6>
<groupId>2</groupId>
<activityId>6</activityId>
<maleDailyKm>12.06</maleDailyKm>
<maleProbability>0.43</maleProbability>
<femaleDailyKm>10.11</femaleDailyKm>
<femaleProbability>0.43</femaleProbability>
</ga2_6>
<ga2_7>
<groupId>2</groupId>
<activityId>7</activityId>
<maleDailyKm>2.13</maleDailyKm>
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