W ramach zadania nr 2 w projekcie Regionalne Centrum Doskonałości Automatyki i Robotyki, Informatyki, Elektrotechniki, Elektroniki oraz Telekomunikacji Politechniki Rzeszowskiej przeprowadzono prace naukowo-badawcze, których wyniki zostały opublikowane w czasopiśmie Energies (IF: 3.004, 140 pkt MNiSW):
https://www.mdpi.com/1996-1073/14/23/8066
Paszkiewicz, A.; Pawłowicz, B.; Trybus, B.; Salach, M. Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication. Energies 2021, 14, 8066. https://doi.org/10.3390/en14238066
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.
