Smarter big data analytics for traffic applications in developing countries

Tran-Vu Pham, Quang-Minh Tran, Linh Truong, Khanh-Hoa Dam

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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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.
Original languageEnglish
Title of host publicationBig Data-Enabled Internet of Things
EditorsMuhammad Usman Shahid Khan, Samee U. Khan, Albert Y. Zomaya
Pages11-28
ISBN (Electronic)9781785616372
DOIs
Publication statusPublished - 2019
MoE publication typeA3 Part of a book or another research book

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