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Smart city article details

Title	Dynamic Visualization Platform For Travel-Related Data Integration To Support Sustainability-Based Decision-Making For Smart Cities
ID_Doc	21446
Authors	Xu Y.; Kibria G.; Wang C.; Tenenboim E.; Rupa Anne V.S.; Chen Z.; Peeta S.
Year	2023
Published	2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2023
DOI	http://dx.doi.org/10.1109/HONET59747.2023.10374853
Abstract	Smart cities seek to leverage data from advanced information, communication, and sensor technologies (ICSTs) for achieving their transportation-related sustainability goals. However, the multi-source, multi-timescale nature of these disparate data sets introduces many challenges to community decision-makers, hindering the use of these technologies in an efficient, effective, and holistic manner. Here, using statistical and machine learning methods, we present a visualization platform developed for the City of Peachtree Corners, GA, comprising nine integrated data sets. This platform can capture dynamic interactions between data from different sources and has the potential to support decision-makers in developing different solution options for contemporary transportation-related problems in a smart city environment. © 2023 IEEE.
Author Keywords	data integration; data visualization; smart city

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