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Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

Author

Listed:
  • Andrzej Paszkiewicz

    (Department of Complex Systems, The Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, Wincentego Pola 2, 35-959 Rzeszów, Poland)

  • Bartosz Pawłowicz

    (Department of Electronic and Telecommunications Systems, Rzeszów University of Technology, Wincentego Pola 2, 35-959 Rzeszów, Poland)

  • Bartosz Trybus

    (Department of Computer and Control Engineering, Rzeszów University of Technology, Wincentego Pola 2, 35-959 Rzeszów, Poland)

  • Mateusz Salach

    (Department of Complex Systems, The Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, Wincentego Pola 2, 35-959 Rzeszów, Poland)

Abstract

This article deals with automated urban traffic management, and proposes a new comprehensive infrastructure solution for dynamic traffic direction switching at intersection lines. It was assumed that the currently used solutions based on video monitoring are unreliable. Therefore, the Radio Frequency IDentification (RFID) technique was introduced, in which vehicles are counted and, if necessary, identified in order to estimate the flows on individual lanes. The data is acquired in real time using fifth-generation wireless communications (5G). The Pots and Ising models derived from the theory of statistical physics were used in a novel way to determine the state of direction traffic lights. The models were verified by simulations using data collected from real traffic observations. The results were presented for two exemplary intersections.

Suggested Citation

  • Andrzej Paszkiewicz & Bartosz Pawłowicz & Bartosz Trybus & Mateusz Salach, 2021. "Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication," Energies, MDPI, vol. 14(23), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:8066-:d:693451
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    References listed on IDEAS

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