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Visualization of Urban Mobility Data from Intelligent Transportation Systems

INESC TEC, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
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Sensors 2019, 19(2), 332; https://doi.org/10.3390/s19020332
Received: 11 December 2018 / Revised: 2 January 2019 / Accepted: 10 January 2019 / Published: 15 January 2019
(This article belongs to the Special Issue Smart Cities)
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. View Full-Text
Keywords: data visualization; urban mobility; spatiotemporal data; intelligent transportation sytems data visualization; urban mobility; spatiotemporal data; intelligent transportation sytems
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MDPI and ACS Style

Sobral, T.; Galvão, T.; Borges, J. Visualization of Urban Mobility Data from Intelligent Transportation Systems. Sensors 2019, 19, 332. https://doi.org/10.3390/s19020332

AMA Style

Sobral T, Galvão T, Borges J. Visualization of Urban Mobility Data from Intelligent Transportation Systems. Sensors. 2019; 19(2):332. https://doi.org/10.3390/s19020332

Chicago/Turabian Style

Sobral, Thiago, Teresa Galvão, and José Borges. 2019. "Visualization of Urban Mobility Data from Intelligent Transportation Systems" Sensors 19, no. 2: 332. https://doi.org/10.3390/s19020332

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