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

Andrzej Paszkiewicz, Bartosz Pawłowicz, Bartosz Trybus and Mateusz Salach
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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

Energies, 2021, vol. 14, issue 23, 1-17

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.

Keywords: traffic management; RFID; 5G; Smart City (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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