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Smarter big data analytics for traffic applications in developing countries

Smarter big data analytics for traffic applications in developing countries

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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.

Chapter Contents:

  • 2.1 Introduction
  • 2.1.1 Research challenges
  • 2.1.2 Contributions and paper structure
  • 2.2 Scenario and requirements
  • 2.3 Analytics system framework for traffic applications
  • 2.3.1 Design objectives
  • 2.3.2 Framework overview
  • 2.3.3 GPS data providers
  • 2.3.4 Offline analytics
  • 2.3.5 Data router and real-time analytics
  • 2.3.6 Decision maker
  • 2.3.7 Mobile and web applications
  • 2.4 Big data applications and challenges
  • 2.4.1 In-memory storage
  • 2.4.2 Filtering unusable data for real-time analytics
  • 2.4.3 Traffic monitoring and prediction
  • 2.4.4 Trip planning in city bus networks
  • 2.5 Related work
  • 2.6 Conclusions
  • References

Inspec keywords: smart cities; traffic engineering computing; data analysis; Big Data; Internet of Things

Other keywords: developing countries; unreliable infrastructures; appropriate data storage; computation techniques; smart city context; big IoT data applications; smarter big data analytics; fragmented infrastructures; typical IoT-enabled big data applications; real-time traffic applications; key design principles

Subjects: Data handling techniques; Ubiquitous and pervasive computing; Traffic engineering computing

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