Result: MEOS: an open source library for mobility data management

Title:
MEOS: an open source library for mobility data management
Authors:
Universitat Politècnica de Catalunya. Doctorat en Estadística i Investigació Operativa, Zimanyi, Esteban, Machado Garcez Duarte, Mariana, Diví i Cuesta, Víctor
Publisher Information:
OpenProceedings 2024
Document Type:
Electronic Resource Electronic Resource
Index Terms:
Àrees temàtiques de la UPC::Informàtica::Programació, Batch data processing, C (programming language), Data handling, Information management, Open source software, Python, C++ libraries, Cloud-computing, Computing environments, Diverse applications, Mobility datum, Open-source, Open-source libraries, Specialized tools, Stream processing, Traffic management, Data visualization, Conference report
URL:
http://hdl.handle.net/2117/425112
https://openproceedings.org/2024/conf/edbt/paper-240.pdf
Availability:
Open access content. Open access content
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0
Open Access
Note:
4 p.
application/pdf
English
Other Numbers:
HGF oai:upcommons.upc.edu:2117/425112
Zimanyi, E.; Machado, M.; Diví i, V. MEOS: an open source library for mobility data management. A: International Conference on Extending Database Technology. "Proceedings 27th International Conference on Extending Database Technology (EDBT 2024): Paestum, Italy, March 25-March 28". OpenProceedings, 2024, p. 810-813. ISBN 978-3-89318-091-2. DOI 10.48786/edbt.2024.76 .
978-3-89318-091-2
10.48786/edbt.2024.76
1507999602
Contributing Source:
UNIV POLITECNICA DE CATALUNYA
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1507999602
Database:
OAIster

Further Information

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.
Peer Reviewed
Postprint (published version)