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2025
Conference Paper
Title

MobMetrics: A Modular Architecture for Computing and Visualizing Mobility Metrics

Abstract
To support the analysis of mobility traces and the processing of mobility metrics, we propose MobMetrics, a web-based system designed to process mobility traces and extract comprehensive mobility metrics. The system is an opensource application that enables users to upload raw mobility data (geospatial or n-dimensional Cartesian data) and obtain a wide range of metrics, categorized into four groups: social, spatial, kinematic, and temporal. These metrics enable detailed pattern analyses of entities' movement behavior. Furthermore, the platform integrates a metric-based multidimensionality reduction technique and graphs/charts to visualize both metrics and traces. As a modular, easy-to-extend, and open-source project, it allows users to add their own metrics and visualizations. We analyzed mobility traces with different characteristics by comparing mobile entities and their respective labels, aiming to analyze, compare, and cluster them.
Author(s)
Filho, Marcio P.C.
Universidade Federal da Bahia
Novais, Lucas
Universidade Federal de Ouro Preto
Lausberg, Leon Luca
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Sevenich, Peter  
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Lopes Rettore, Paulo Henrique  
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Santos, Bruno P.
Universidade Federal da Bahia
Mainwork
12th International Conference on Software Defined Systems (SDS) 2025  
Conference
International Conference on Software Defined Systems 2025  
DOI
10.1109/SDS68531.2025.11409873
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Keyword(s)
  • IoT

  • Mobility

  • Mobility Metrics

  • Traces

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