Modeling of AI- and PLC-based traffic lights in roadside school zones: transport efficiency, safety, and environmental benefits
DOI:
https://doi.org/10.56143/2181-2438-2025-3-129-131Keywords:
Artificial Intelligence (AI), Programmable Logic Controller (PLC), PTV Vissim, traffic flow in school zones, pedestrian safety, fuel efficiency, harmful gas emissions (CO, NOx, PM, CO₂), adaptive traffic light control, urban congestion, environmental sustainabilityAbstract
Traffic congestion near roadside schools causes an increase in harmful gas emissions and creates environmental challenges. This study, conducted on the example of School No. 175 in the Mirobod district of Tashkent, evaluated the effectiveness of traffic lights based on the integration of Artificial Intelligence (AI) and Programmable Logic Controllers (PLC). The results demonstrated improvements in Level of Service (LOS), enhanced pedestrian safety, reduced fuel consumption, and environmental benefits. The findings are consistent with international practice.
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Published
2025-12-05
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How to Cite
Modeling of AI- and PLC-based traffic lights in roadside school zones: transport efficiency, safety, and environmental benefits. (2025). Journal of Transport, 2(3), 129-131. https://doi.org/10.56143/2181-2438-2025-3-129-131
