Multi-node Approach for Map Data Processing

  • Vít PtošekEmail author
  • Kateřina Slaninová
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 897)


OpenStreetMap (OSM) is a popular collaborative open-source project that offers free editable map across the whole world. However, this data often needs a further on-purpose processing to become the utmost valuable information to work with. That is why the main motivation of this paper is to propose a design for big data processing along with data mining leading to the obtaining of statistics with a focus on the detail of a traffic data as a result in order to create graphs representing a road network. To ensure our High-Performance Computing (HPC) platform routing algorithms work correctly, it is absolutely essential to prepare OSM data to be useful and applicable for above-mentioned graph, and to store this persistent data in both spatial database and HDF5 format.


OpenStreetMap Road network quality Big data parsing Multi-node processing ETL State machine Pipeline 



This work has been partially funded by ANTAREX, a project supported by the EU H2020 FET-HPC program under grant 671623, by The Ministry of Education, Youth and Sports of the Czech Republic from the National Programme of Sustainability (NPU II) project ‘IT4 Innovations excellence in science—LQ1602’.


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.IT4Innovations National Supercomputing CenterVŠB - Technical University of OstravaOstravaCzech Republic

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