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

Data sets

2023_Extending-Property-Graphs-with-Time-Series_artifacts Erik Bollen https://doi.org/10.17605/OSF.IO/J9CN5

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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.