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Experimental Investigation of Communication Performance of Drones Used for Autonomous Car Track Tests

Author

Listed:
  • Melih Yildiz

    (Department of Aeronautical Engineering, Faculty of Aviation and Space Sciences, Girne University, Mersin 99320, Turkey)

  • Burcu Bilgiç

    (Department of Electrical and Electronics Engineering, Atilim University, Ankara 06830, Turkey)

  • Utku Kale

    (Department of Aeronautics and Naval Architecture, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Dániel Rohács

    (Department of Aeronautics and Naval Architecture, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

Autonomous Vehicles (AVs) represent an emerging and disruptive technology that provides a great opportunity for future transport not only to have a positive social and environmental impact but also traffic safety. AV use in daily life has been extensively studied in the literature in various dimensions, however; it is time for AVs to go further which is another technological aspect of communication. Vehicle-to-Vehicle (V2V) technology is an emerging issue that is expected to be a mutual part of AVs and transportation safety in the near future. V2V is widely discussed by its deployment possibilities not only by means of communication, even to be used as an energy transfer medium. ZalaZONE Proving Ground is a 265-hectare high-tech test track for conventional, electric as well as connected, assisted, and automated vehicles. This paper investigates the use of drones for tracking the cars on the test track. The drones are planned to work as an uplink for the data collected by the onboard sensors of the car. The car is expected to communicate with the drone which is flying in coordination. For the communication 868 MHz is selected to be used between the car and the drone. The test is performed to simulate different flight altitudes of drones. The signal strength of the communication is analyzed, and a model is developed which can be used for the future planning of the test track applications.

Suggested Citation

  • Melih Yildiz & Burcu Bilgiç & Utku Kale & Dániel Rohács, 2021. "Experimental Investigation of Communication Performance of Drones Used for Autonomous Car Track Tests," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5602-:d:556449
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    References listed on IDEAS

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    1. Eric Williams & Vivekananda Das & Andrew Fisher, 2020. "Assessing the Sustainability Implications of Autonomous Vehicles: Recommendations for Research Community Practice," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    2. Kuang, Hua & Wang, Mei-Ting & Lu, Fang-Hua & Bai, Ke-Zhao & Li, Xing-Li, 2019. "An extended car-following model considering multi-anticipative average velocity effect under V2V environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
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    Cited by:

    1. Sergio Bemposta Rosende & Sergio Ghisler & Javier Fernández-Andrés & Javier Sánchez-Soriano, 2022. "Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management," Data, MDPI, vol. 7(5), pages 1-10, April.

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