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Transportation at the Confluence of Engineering and Big Data: Design of Automated Motorway Lane-Changing Systems

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Future Network Systems and Security (FNSS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 759))

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Abstract

Transportation is an aspect of life that touches every one of us. With rapid advances in technology and lifestyles, modern civilization is witnessing an ever-increasing need for improvements in transportation efficiency and effectiveness to keep pace with modern demands and steadily increasing populations.

This paper explores the wider problem landscape and then targets a specific subset of these issues by presenting a vision for how existing technologies could be uniquely combined to create safe, intelligent, and fully-automated lane-changing infrastructure to fully maximize the efficiency of key motorway sections and bottlenecks.

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Author information

Authors and Affiliations

  1. Department of Information Systems and Operations Management, University of Auckland, Auckland, New Zealand

    Michael Lawry, Asfahaan Mirza, Yidi Wendy Wang & David Sundaram

Authors
  1. Michael Lawry
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  2. Asfahaan Mirza
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  3. Yidi Wendy Wang
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  4. David Sundaram
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Corresponding author

Correspondence to Michael Lawry .

Editor information

Editors and Affiliations

  1. Deakin University , Burwood, Victoria, Australia

    Robin Doss

  2. Department of Information Systems and Operations Management, University of Florida, Warrington College of Business, Gainesville, Florida, USA

    Selwyn Piramuthu

  3. Information and Operations Management Department, ESCP Europe, Paris, France

    Wei Zhou

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© 2017 Springer International Publishing AG

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Lawry, M., Mirza, A., Wang, Y.W., Sundaram, D. (2017). Transportation at the Confluence of Engineering and Big Data: Design of Automated Motorway Lane-Changing Systems. In: Doss, R., Piramuthu, S., Zhou, W. (eds) Future Network Systems and Security. FNSS 2017. Communications in Computer and Information Science, vol 759. Springer, Cham. https://doi.org/10.1007/978-3-319-65548-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-65548-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65547-5

  • Online ISBN: 978-3-319-65548-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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