Dataset Open Access

Behaviour-based large-scale planning Fleet Management System Evaluation

Fabian Menebroeker

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.4472554</identifier>
      <creatorName>Fabian Menebroeker</creatorName>
      <affiliation>Fraunhofer IML</affiliation>
    <title>Behaviour-based large-scale planning Fleet Management System Evaluation</title>
    <date dateType="Issued">2021-01-27</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4472553</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;This dataset was generated within the SafeLog project while evaluating the performance of a decentralized Fleet Management System (MARS). MARS attempts to find a solution to the multi-agent path finding problem in a decentralized manner, by representing each component as an autonomous agent. We compared the results of a large set of routing assignments within a benchmarking environment to a centralized planner, with respect to the goodness of the resulting routes as well as the computation time. The results can be found in the &amp;quot;MARS&amp;quot; directory within the dataset.&lt;/p&gt;

&lt;p&gt;We further investigated ROS 2 as a potential framework for an upcoming iteration of the software. To that end, an abstraction of the architecture was built in ROS and ROS 2, in order to compare the communication overhead in the context of a very large number of nodes. The results of this can be found in the &amp;quot;ROS&amp;quot; directory.&lt;/p&gt;


&lt;p&gt;Please refer to the for further explanation.&lt;/p&gt;</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/688117/">688117</awardNumber>
      <awardTitle>Safe human-robot interaction in logistic applications for highly flexible warehouses</awardTitle>
All versions This version
Views 7070
Downloads 33
Data volume 369.2 MB369.2 MB
Unique views 6161
Unique downloads 33


Cite as