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Smart city article details

Title	A Generic And Flexible Geospatial Data Warehousing And Analysis Framework For Transportation Performance Measurement In Smart Connected Cities
ID_Doc	1925
Authors	Vicuna P.; Mudigonda S.; Kamga C.; Mouskos K.; Ukegbu C.
Year	2019
Published	Procedia Computer Science, 155
DOI	http://dx.doi.org/10.1016/j.procs.2019.08.033
Abstract	Rapid rise in information and communication technology in various walks of life has helped digitization of human services, including transportation. The result of digitization is vast amount of location and time data on humans and goods, which in turn provide a valuable resource for transportation system performance for the managing and operating agencies. A wide variety of transportation performance metrics (TPMs) to characterize, evaluate and improve the performance towards making the operating agencies, and thereby the cities, 'smart' must be presented suitably to policy and decision makers. TPMs and data sources are of varying spatiotemporal extent and data formats, necessitating interoperability. Estimating TPMs requires a generic data warehousing framework handling various datasets, preferably, built in-house for the agencies to sustainably move towards smart city goals and meeting federal data reporting mandates. In this study, such a flexible data analytics framework is demonstrated via novel data ingestion and visualization outputs. Several use cases for evaluating efficiency, reliability and sustainability of transportation projects and system are presented. © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs.
Author Keywords	"GPS data; Data warehouse; Geospatial Analysis; Transportation System Management; Visualization"

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