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Remote Vehicular Control Network Test Platform

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Simulation Tools and Techniques (SIMUtools 2020)

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Abstract

In this paper, architecture is proposed to test remote control network for low speed vehicle remote driving. By using 4G cellular network access to the cloud service platform, the platform is easy to deployed in common commercial networks. A control signal transmit experiment is executed in the commercial network crossing one more thousand miles; the performance show that the common 4G cellular and backbone networks can support the real-time signal transmit for low speed vehicle. Video latency is tested using different cameras, and the MOS is defined to measure how difficult to drive a remote vehicle under certain video latency.

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Acknowledgment

This work is partly supported by Jiangsu technology project of Housing and Urban-Rural Development (No. 2018ZD265) and Jiangsu major natural science research project of College and University (No. 19KJA470002).

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Authors and Affiliations

  1. Jiangsu Province Key Laboratory of Intelligent Industry Control Technology, Xuzhou University of Technology, Xuzhou, 221018, China

    Lei Chen, Ping Cui, Yun Chen, Kailiang Zhang & Yuan An

Authors
  1. Lei Chen
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  2. Ping Cui
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  3. Yun Chen
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  4. Kailiang Zhang
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  5. Yuan An
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Corresponding author

Correspondence to Ping Cui .

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Editors and Affiliations

  1. Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

    Houbing Song

  2. School of Astronautics and Aeronautic, UESTC, Chengdu, China

    Dingde Jiang

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, L., Cui, P., Chen, Y., Zhang, K., An, Y. (2021). Remote Vehicular Control Network Test Platform. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-030-72795-6_19

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  • DOI: https://doi.org/10.1007/978-3-030-72795-6_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72794-9

  • Online ISBN: 978-3-030-72795-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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