Methods for optimizing urban transport network performance

Background. In the context of accelerated urbanization, the optimization of logistics infrastructure has become a critical component in ensuring the sustainable and efficient functioning of urban mobility. The increasing density of traffic flows, growing environmental safety requirements, and limited urban space necessitate the implementation of integrated solutions based on digital technologies and the systemic integration of various modes of transport.

Purpose. To substantiate effective approaches for optimizing urban transport networks through the use of digital technologies, intelligent transport systems, and multimodal strategies aimed at increasing throughput, reducing delays, and lowering environmental impact.

Materials and methods. The methodological framework is based on systems analysis principles, comparative assessment of implemented transport practices, and traffic flow simulation using the SUMO software package, which allows for evaluating the effectiveness of different urban mobility management scenarios. The modeling was conducted for a representative urban agglomeration, taking into account real traffic parameters.

Results. The application of adaptive traffic signal control reduced average intersection delays by up to 45% and CO2 emissions by up to 24% compared to the baseline scenario. Furthermore, the analysis of modern technological and organizational solutions confirmed the high effectiveness of integrating intelligent transport systems, big data platforms, and multimodal strategies in ensuring the sustainable performance of urban transport networks.