Conference
MEOS: an open source library for mobility data management
| Τίτλος: | MEOS: an open source library for mobility data management |
|---|---|
| Συγγραφείς: | Zimanyi, Esteban, Machado Garcez Duarte, Mariana, Diví i Cuesta, Víctor |
| Πηγή: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Στοιχεία εκδότη: | OpenProceedings, 2024. |
| Έτος έκδοσης: | 2024 |
| Θεματικοί όροι: | Cloud-computing, Open-source, Traffic management, Data visualization, Batch data processing, Computing environments, Open source software, Data handling, Àrees temàtiques de la UPC::Informàtica::Programació, Stream processing, Information management, Mobility datum, C (programming language), Open-source libraries, C++ libraries, Diverse applications, Specialized tools, Python |
| Περιγραφή: | The increasing prevalence of mobility data in diverse applications such as traffic management requires specialized tools for manipulating it. This paper introduces MEOS (Mobility Engine Open Source), a versatile C library designed explicitly for managing and processing mobility data. MEOS is a highly adaptable solution, providing a single code base that can be readily adapted to multiple programming languages, including Python and SQL, numerous computing environments, from edge to cloud computing, from batch to stream processing. We further extend our discussion to PyMEOS, a specialized Python library developed as a binding to MEOS, offering additional functionality that enhances the analytic capacity with data visualization and data frame integration. This demonstration comprises a series of queries using two different languages, namely, MEOS (C) and PyMEOS (Python). © 2024 Copyright held by the owner/author(s). This work was funded by the EU’s Horizon Europe research and innovation program under Grant No. 101070279 MobiSpaces. |
| Τύπος εγγράφου: | Conference object |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| DOI: | 10.48786/edbt.2024.76 |
| Rights: | CC BY NC ND |
| Αριθμός Καταχώρησης: | edsair.dedup.wf.002..e79c75ab89152d81ea71dcb95eb6ab0c |
| Βάση Δεδομένων: | OpenAIRE |
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