danibolanos / tfm-exploring_vehicle_in_sv Goto Github PK

Repositorio de mi trabajo de fin de máster para el Máster en Gestión y Tecnologías de Procesos de Negocio de la Universidad de Granada sobre un un pipeline de análisis de patrones de comportamiento de vehículos en zonas rurales. Puede descargar una versión compilada de la memoria en este enlace. Puede descargar las diapositivas de la presentación realizada al tribunal aquí.

It proposes a pattern analysis pipeline that streamlines the selection of clustering and normalization algorithms by leveraging multiple data sources.

Emphasizing the crucial role of choosing the appropriate normalization algorithm for scaling heterogeneous data, the research focuses on understanding and analyzing mobility patterns using data from four License Plate Recognition (LPR) cameras over nine months in the Alpujarra Granadina, augmented with additional databases, resulting in a dataset of over 50,000 vehicles.

Bolaños-Martinez, D., Bermudez-Edo, M., & Garrido, J. L. (2024). Clustering pipeline for vehicle behavior in smart villages. Information Fusion, 104, 102164. https://doi.org/10.1016/j.inffus.2023.102164.

• Daniel Bolaños-Martinez, Maria Bermudez-Edo, and Jose Luis Garrido. “Clustering Study of Vehicle Behaviors Using License Plate Recognition”. In: Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). Springer. 2022, pp. 784–795

• Billy Pik Lik Lau et al. “A survey of data fusion in smart city applications”. In:Information Fusion 52 (2019), pp. 357–374.

• A Bertuglia et al. “Reverse migration: from the city to the countryside. The Spanish case of Alpujarra Granadina.” In: Agriregionieuropa 7.27 (2011), pp. 62–64.

• Elisabeth Kastenholz, Maria João Carneiro, and Celeste Eusébio. “Diverse socializing patterns in rural tourist experiences–a segmentation analysis”. In:Current Issues in Tourism 21.4 (2018), pp. 401–421.