The article addresses issues concerning the improvement of urban transport infrastructure with the aim of enhancing its efficiency and environmental sustainability. It provides a detailed analysis of various approaches within the framework of developing human-centric smart cities and the Environmental, Social, and Governance paradigm. The research highlights that simulation modelling techniques have considerable potential for addressing challenges associated with traffic flow and road infrastructure optimization. To this end, a simulation model of a critical, high-accident-prone interchange in a large city's road network was developed using the Any Logic environment. The model was calibrated and validated using real traffic data collected through video analysis. The conducted experiment tested the hypothesis of converting a problematic signal-free intersection into a roundabout. The results revealed that this reconstruction significantly minimizes conflict points, increases the node's capacity, and reduces the risk of accidents. Furthermore, an assessment confirmed a consequent decrease in vehicular exhaust emissions. The study demonstrates that simulation modelling serves as a vital tool for quantitatively justifying urban planning decisions, allowing for the prediction of their complex impact on a city's transport system. It is concluded that a comprehensive, interdisciplinary approach integrating intelligent technologies and sustainable governance principles is necessary for the positive transformation of urban mobility.
Keywords
Transport InfrastructureTraffic FlowsEnvironmental SustainabilitySimulation Modelling
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