Visualization of Urban Mobility Data from Intelligent Transportation Systems

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2019

Autores

Sobral, T (Autor) Outra; Teresa Galvão Dias (Autor) FEUP; José Luís Moura Borges (Autor) FEUP

Revista

Título: Sensors

Vol. 19

Página Final: 332

ISSN: 1424-3210

Editora: MDPI

Indexação

ISI Web of Knowledge - 11 Citações

Scopus - 18 Citações

Outras Informações

ID Authenticus: P-00Q-47T

DOI: 10.3390/s19020332

Abstract (EN): Intelligent Transportation Systems are an important enabler for the smart cities paradigm. Currently, such systems generate massive amounts of granular data that can be analyzed to better understand people's dynamics. To address the multivariate nature of spatiotemporal urban mobility data, researchers and practitioners have developed an extensive body of research and interactive visualization tools. Data visualization provides multiple perspectives on data and supports the analytical tasks of domain experts. This article surveys related studies to analyze which topics of urban mobility were addressed and their related phenomena, and to identify the adopted visualization techniques and sensors data types. We highlight research opportunities based on our findings.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 28