Multi-node Approach for Map Data Processing

Abstract

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. Web of Science 897 104 91

Original document

The different versions of the original document can be found in:

• http://dspace.vsb.cz/bitstream/10084/133435/2/2194-5357-2019v897p91.pdf

• http://dx.doi.org/10.1007/978-981-13-3250-0_7 under the license http://www.springer.com/tdm

• http://hdl.handle.net/10084/133435

• http://link.springer.com/content/pdf/10.1007/978-981-13-3250-0_7,

http://dx.doi.org/10.1007/978-981-13-3250-0_7 under the license http://www.springer.com/tdm

• https://dspace.vsb.cz/handle/10084/133435,

https://dblp.uni-trier.de/db/conf/acss/acss2018-1.html#PtosekS18,

https://link.springer.com/chapter/10.1007/978-981-13-3250-0_7,

https://academic.microsoft.com/#/detail/2905452015