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Mobility as a Service Enabled by the Autonomous Driving

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Internet of Vehicles. Technologies and Services Towards Smart City (IOV 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11253))

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Abstract

The future of transport network fueled by vision of Autonomous driving is expected to revolutionize the classical ways of mobility. In this paper, we focus on enabling the autonomous mobility of specially enabled students within the Technical University Berlin Campus. In this connection, we digitize segments of the roads by deploying various sensors and communication infrastructure for V2X and sensors-to-central cloud communication. We present our vehicle disposition system for the so called “Uni-Shuttle”, which integrates the various sensors information and optimizes the vehicles’ schedules by means of local search operations and meta-heuristics. Our evaluation in a simulated environment shows that our approach is more efficient than a traditional bus with a fixed time-schedule and line network.

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Notes

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    www.diginet-ps.de.

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    www.optaplanner.org.

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Authors and Affiliations

  1. DAI Labor, Technische Universität Berlin, Ernst-Reuter-Platz 7, 10587, Berlin, Germany

    Christian Rakow & Manzoor Ahmed Khan

Authors
  1. Christian Rakow
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  2. Manzoor Ahmed Khan
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Corresponding author

Correspondence to Christian Rakow .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Andrzej M.J. Skulimowski

  2. University of Sussex, Brighton, UK

    Zhengguo Sheng

  3. Université de Versailles St Quentin, Versailles, France

    Sondès Khemiri-Kallel

  4. Université Paris 13, Villetaneuse, France

    Christophe Cérin

  5. National Chung Cheng University, Minxiong, Taiwan

    Ching-Hsien Hsu

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Rakow, C., Khan, M.A. (2018). Mobility as a Service Enabled by the Autonomous Driving. In: Skulimowski, A., Sheng, Z., Khemiri-Kallel, S., Cérin, C., Hsu, CH. (eds) Internet of Vehicles. Technologies and Services Towards Smart City. IOV 2018. Lecture Notes in Computer Science(), vol 11253. Springer, Cham. https://doi.org/10.1007/978-3-030-05081-8_15

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  • DOI: https://doi.org/10.1007/978-3-030-05081-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05080-1

  • Online ISBN: 978-3-030-05081-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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