Visualization of Urban Mobility Data from Intelligent Transportation Systems

• Type: Another Publication in an International Scientific Journal
• Date: 2019

Authors

Sobral, T (Author) Other; Teresa Galvão Dias (Author) FEUP; José Luís Moura Borges (Author) FEUP

Journal

Title: Sensors

Vol. 19

Final page: 332

ISSN: 1424-3210

Publisher: MDPI

Indexing

ISI Web of Knowledge - 11 Citations

Scopus - 18 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 28