Articles | Volume 13, issue 2
https://doi.org/10.5194/gi-13-353-2024
https://doi.org/10.5194/gi-13-353-2024
Research article
 | 
27 Nov 2024
Research article |  | 27 Nov 2024

Managing data of sensor-equipped transportation networks using graph databases

Erik Bollen, Rik Hendrix, and Bart Kuijpers

Viewed

Total article views: 1,028 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
588 191 249 1,028 32 27
  • HTML: 588
  • PDF: 191
  • XML: 249
  • Total: 1,028
  • BibTeX: 32
  • EndNote: 27
Views and downloads (calculated since 28 Jun 2024)
Cumulative views and downloads (calculated since 28 Jun 2024)

Viewed (geographical distribution)

Total article views: 1,028 (including HTML, PDF, and XML) Thereof 1,004 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Mar 2025
Download
Short summary
Transportation networks, such as road or river systems and electricity grids, are often equipped with various sensors that produce vast amounts of data that reflect real-life situations on these networks. We present an all-in-one data management solution to deal with these data. Our solution addresses both the storage and querying of such data and is based on a theoretical database model and query logic. In addition, this is implemented and tested on real-life datasets.
Share