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Smart city article details

Title	Smarter Big Data Analytics For Traffic Applications In Developing Countries
ID_Doc	51836
Authors	Vu Pham T.; Minh Q.T.; Truong H.-L.; Dam H.
Year	2020
Published	Big Data-Enabled Internet of Things
DOI	http://dx.doi.org/10.1049/pbpc025e_ch2
Abstract	Internet of Things (IoT) generates a huge amount of data in real-time. Utilization of such data requires appropriate data storage, analytics, and computation techniques so that valuable information can be extracted and immediate actions could be taken place. In this chapter, we present real-time traffic applications, typical IoT-enabled big data applications in smart city context, but for unreliable and fragmented infrastructures in developing countries. We analyze a case study to show challenges that we need to address when implementing big IoT data applications in such infrastructures. Based on that we outline our key design principles and techniques. We present several examples to particularly discuss how we achieve our designs and lesson learned. © The Institution of Engineering and Technology 2019.
Author Keywords	Appropriate data storage; Big data; Big IoT data applications; Computation techniques; Data analysis; Developing countries; Fragmented infrastructures; Internet of things; Key design principles; Real-time traffic applications; smart cities; Smart city context; Smarter big data analytics; Traffic engineering computing; Typical iot-enabled big data applications; Unreliable infrastructures

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