International Journal of Big Data Intelligent Technology, 2023, 4(1); doi: 10.38007/IJBDIT.2023.040102.
Gongxing Yan and Xie Hui
School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou 646000, Sichuan, China
Luzhou Key Laboratory of Intelligent Construction and Low-carbon Technology, Luzhou 646000, Sichuan, China
This study designed an intelligent transportation system based on PLC fuzzy control for alleviating urban traffic jams and complex vehicles. The system includes two parts. The first part is a three-level fuzzy controller. Through monitoring the traffic of vehicles in each phase, the fuzzy control rules are used to optimize the phase sequence and adjust the green time length of the corresponding phase. Experimental results show that the traffic efficiency of the three-stage fuzzy controller is 11% higher than that of the traditional fuzzy controller. The second part is the emergency passage module, which dredges special vehicles. The MCGS configuration software is used to test the system, and results show that the system meets the control requirements and is suitable for various traffic conditions.
Intelligent Transportation System, Fuzzy Control, Plc, Phase Sequence Optimization, MCGS
Gongxing Yan and Xie Hui. Intelligent Traffic System Based on PLC Fuzzy Control. International Journal of Big Data Intelligent Technology (2023), Vol. 4, Issue 2: 10-16. https://doi.org/10.38007/IJBDIT.2023.040102.
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