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Issues and Challenges in Transportation Read chapter Read first chapter

2019 | OriginalPaper | Chapter

6. Big Data Analytics for Maintaining Transportation Systems

Authors : Ravdeep Kour, Adithya Thaduri, Sarbjeet Singh, Alberto Martinetti

Published in: Transportation Systems

Publisher: Springer Singapore

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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.

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Metadata
Title
Big Data Analytics for Maintaining Transportation Systems
Authors
Ravdeep Kour
Adithya Thaduri
Sarbjeet Singh
Alberto Martinetti
Copyright Year
2019
Publisher
Springer Singapore
Book
Transportation Systems

Print ISBN: 978-981-329-322-9

Electronic ISBN: 978-981-329-323-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-32-9323-6_6

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