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Solving "Smart City" Transport Problems by Designing Carpooling Gamification Schemes with Multi-Agent Systems: The Case of the So-Called "Mordor of Warsaw"

Robert Olszewski; Piotr Pałka; Agnieszka Turek


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  <identifier identifierType="URL">https://zenodo.org/record/2588329</identifier>
  <creators>
    <creator>
      <creatorName>Robert Olszewski</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1697-9367</nameIdentifier>
      <affiliation>Warsaw University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Piotr Pałka</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0006-363X</nameIdentifier>
      <affiliation>Warsaw University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Agnieszka Turek</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8620-3340</nameIdentifier>
      <affiliation>Warsaw University of Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Solving "Smart City" Transport Problems by Designing Carpooling Gamification Schemes with Multi-Agent Systems: The Case of the So-Called "Mordor of Warsaw"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>smart city</subject>
    <subject>gamification</subject>
    <subject>carpooling</subject>
    <subject>multi-agent system;</subject>
    <subject>sustainable transport</subject>
    <subject>sustainable city</subject>
    <subject>spatial data mining</subject>
    <subject>IoT</subject>
    <subject>geoinformation</subject>
    <subject>FabSpace</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-01-06</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2588329</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.3390/s18010141</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;To reduce energy consumption and improve residents&amp;rsquo; quality of life, &amp;ldquo;smart cities&amp;rdquo; should&lt;br&gt;
use not only modern technologies, but also the social innovations of the &amp;ldquo;Internet of Things&amp;rdquo; (IoT)&lt;br&gt;
era. This article attempts to solve transport problems in a smart city&amp;rsquo;s office district by utilizing&lt;br&gt;
gamification that incentivizes the carpooling system. The goal of the devised system is to significantly&lt;br&gt;
reduce the number of cars, and, consequently, to alleviate traffic jams, as well as to curb pollution and&lt;br&gt;
energy consumption. A representative sample of the statistical population of people working in one&lt;br&gt;
of the biggest office hubs in Poland (the so-called &amp;ldquo;Mordor of Warsaw&amp;rdquo;) was surveyed. The collected&lt;br&gt;
data were processed using spatial data mining methods, and the results were a set of parameters&lt;br&gt;
for the multi-agent system. This approach made it possible to run a series of simulations on a set&lt;br&gt;
of 100,000 agents and to select an effective gamification methodology that supports the carpooling&lt;br&gt;
process. The implementation of the proposed solutions (a &amp;ldquo;serious game&amp;rdquo; variation of urban games)&lt;br&gt;
would help to reduce the number of cars by several dozen percent, significantly reduce energy&lt;br&gt;
consumption, eliminate traffic jams, and increase the activity of the smart city residents.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/693210/">693210</awardNumber>
      <awardTitle>The Fablab for geodata-driven innovation - by leveraging Space data in particular, in Universities 2.0</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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