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Cloud-Based Intelligent Transportation Systems Using Model Predictive Control

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Computational Logistics (ICCL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9335))

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Abstract

Recent and future technology development make intelligent transport systems a reality in contemporary societies leading to a higher quality, performance, and safety in transportation systems. In a big data era, however, efficient information technology infrastructures are necessary to support real-time applications efficiently. In this paper, we review different control structures based on model predictive control and embed them in cloud infrastructures. We especially focus on conceptual ideas for intelligent road transportation and explain how the proposed cloud-based system can be used for parallel and scalable computing supporting real-time decision making based on large volumes and a variety of data from different sources. As such, the paper provides a novel approach for applying data-driven intelligent transport systems that utilize scalable and cost-efficient cloud infrastructures based on model predictive control structures.

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Author information

Authors and Affiliations

  1. Institute of Information Systems (IWI), University of Hamburg, Hamburg, Germany

    Leonard Heilig & Stefan Voß

  2. Department of Maritime & Transport Technology, Delft University of Technology, Delft, The Netherlands

    Rudy R. Negenborn

Authors
  1. Leonard Heilig
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  2. Rudy R. Negenborn
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  3. Stefan Voß
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Corresponding author

Correspondence to Leonard Heilig .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Francesco Corman

  2. University of Hamburg, Hamburg, Germany

    Stefan Voß

  3. Delft University of Technology, Delft, The Netherlands

    Rudy R. Negenborn

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Heilig, L., Negenborn, R.R., Voß, S. (2015). Cloud-Based Intelligent Transportation Systems Using Model Predictive Control. In: Corman, F., Voß, S., Negenborn, R. (eds) Computational Logistics. ICCL 2015. Lecture Notes in Computer Science(), vol 9335. Springer, Cham. https://doi.org/10.1007/978-3-319-24264-4_32

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  • DOI: https://doi.org/10.1007/978-3-319-24264-4_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24263-7

  • Online ISBN: 978-3-319-24264-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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