Big Data Analytics for Maintaining Transportation Systems

Ravdeep Kour*, Adithya Thaduri, Sarbjeet Singh, Alberto Martinetti

*Corresponding author for this work

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

    Abstract

    Big Data Analytics (BDA) is becoming a research focus in transportation systems, which can be seen from many projects within the world. By using sensor and Internet of Things (IoT) technology in transportation system, huge amount of data is been generated from different sources. This data can be integrated, analyzed and visualized for efficient and effective decision-making for maintaining transportation systems. The key challenges that exist in managing Big Data are the designing of the systems, which would be able to handle huge amount of data efficiently and effectively and to filter the most significant information from all the collected data. This chapter will draw attention towards the present scenario and future projections of big data in transportation systems. It also presents big data tools and techniques and then presents one brief case study of BDA in each type of transportation system. In this chapter, a broad overview of Big Data definitions, its history, present, and future prospects are briefed. Several tools and technologies especially for transportation are pointed out for maintaining transportation systems. At the end of the chapter, a definitive case studies on each transportation area is demonstrated.
    Original languageEnglish
    Title of host publicationTransportation Systems
    Subtitle of host publicationManaging Performance through Advanced Maintenance Engineering
    EditorsSarbjeet Singh, Alberto Martinetti, Arnab Majumdar, Leo van Dongen
    PublisherSpringer
    Chapter6
    Pages73-91
    ISBN (Electronic)978-981-329-323-6
    ISBN (Print)978-981-329-322-9
    DOIs
    Publication statusPublished - 21 Aug 2019

    Publication series

    NameAsset analytics
    PublisherSpringer
    ISSN (Print)2522-5162
    ISSN (Electronic)2522-5170

    Fingerprint

    Big data
    Decision making
    Sensors
    Internet of things

    Keywords

    • Big data analytics
    • Transportation system
    • Maintenance
    • Railway
    • Road
    • Aviation
    • Shipping

    Cite this

    Kour, R., Thaduri, A., Singh, S., & Martinetti, A. (2019). Big Data Analytics for Maintaining Transportation Systems. In S. Singh, A. Martinetti, A. Majumdar, & L. van Dongen (Eds.), Transportation Systems: Managing Performance through Advanced Maintenance Engineering (pp. 73-91). (Asset analytics). Springer. https://doi.org/10.1007/978-981-32-9323-6_6
    Kour, Ravdeep ; Thaduri, Adithya ; Singh, Sarbjeet ; Martinetti, Alberto. / Big Data Analytics for Maintaining Transportation Systems. Transportation Systems: Managing Performance through Advanced Maintenance Engineering. editor / Sarbjeet Singh ; Alberto Martinetti ; Arnab Majumdar ; Leo van Dongen. Springer, 2019. pp. 73-91 (Asset analytics).
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    Kour, R, Thaduri, A, Singh, S & Martinetti, A 2019, Big Data Analytics for Maintaining Transportation Systems. in S Singh, A Martinetti, A Majumdar & L van Dongen (eds), Transportation Systems: Managing Performance through Advanced Maintenance Engineering. Asset analytics, Springer, pp. 73-91. https://doi.org/10.1007/978-981-32-9323-6_6

    Big Data Analytics for Maintaining Transportation Systems. / Kour, Ravdeep; Thaduri, Adithya; Singh, Sarbjeet; Martinetti, Alberto.

    Transportation Systems: Managing Performance through Advanced Maintenance Engineering. ed. / Sarbjeet Singh; Alberto Martinetti; Arnab Majumdar; Leo van Dongen. Springer, 2019. p. 73-91 (Asset analytics).

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

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    AB - Big Data Analytics (BDA) is becoming a research focus in transportation systems, which can be seen from many projects within the world. By using sensor and Internet of Things (IoT) technology in transportation system, huge amount of data is been generated from different sources. This data can be integrated, analyzed and visualized for efficient and effective decision-making for maintaining transportation systems. The key challenges that exist in managing Big Data are the designing of the systems, which would be able to handle huge amount of data efficiently and effectively and to filter the most significant information from all the collected data. This chapter will draw attention towards the present scenario and future projections of big data in transportation systems. It also presents big data tools and techniques and then presents one brief case study of BDA in each type of transportation system. In this chapter, a broad overview of Big Data definitions, its history, present, and future prospects are briefed. Several tools and technologies especially for transportation are pointed out for maintaining transportation systems. At the end of the chapter, a definitive case studies on each transportation area is demonstrated.

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    Kour R, Thaduri A, Singh S, Martinetti A. Big Data Analytics for Maintaining Transportation Systems. In Singh S, Martinetti A, Majumdar A, van Dongen L, editors, Transportation Systems: Managing Performance through Advanced Maintenance Engineering. Springer. 2019. p. 73-91. (Asset analytics). https://doi.org/10.1007/978-981-32-9323-6_6