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Keywords = intelligent transportation sytems

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28 pages, 38828 KiB  
Review
Visualization of Urban Mobility Data from Intelligent Transportation Systems
by Thiago Sobral, Teresa Galvão and José Borges
Sensors 2019, 19(2), 332; https://doi.org/10.3390/s19020332 - 15 Jan 2019
Cited by 87 | Viewed by 16597
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Smart Cities)
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