The research underscores the importance of digitalizing transport processes, which entails integrating innovative solutions into transportation and logistics management. Guided by the research objectives and the specifics of the reviewed objects, the authors selected and applied a set of investigative approaches appropriate to each level of inquiry. The work drew primarily on theoretical methods born of generalization and abstraction, including the method of analogies, genetic analysis, and systems analysis. The authors also used comparative techniques, graphic interpretation, and the analysis and synthesis of data. The ambition to develop and implement a system capable of addressing challenges at every management layer (from strategic to operational) demands integrated solutions that create a synergistic effect in governing traffic flows and resources. Deploying intelligent transport systems accelerates traffic management processes, improves their efficiency, and cuts costs and time, enhancing service quality and fostering the sustainable development of transport infrastructure. The research emphasizes the urban transport system, which should be regarded as a constellation of subsystems, each affecting different dimensions of city life—economic, social, environmental attractiveness, and other pivotal facets. This reality justifies a detailed exploration of the integration potential of the transport service management subsystem, whose task is to secure interaction among all components of the transport system, streamline coordination, and boost the overall efficiency of urban transport.

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The Evolution of Intelligent Transportation System Development for Optimizing Intra-system Flows

  • Anna V. Guzenko,
  • Natalia V. Guzenko,
  • Timur E. Mamaev,
  • Dina E. Mitina

摘要

The research underscores the importance of digitalizing transport processes, which entails integrating innovative solutions into transportation and logistics management. Guided by the research objectives and the specifics of the reviewed objects, the authors selected and applied a set of investigative approaches appropriate to each level of inquiry. The work drew primarily on theoretical methods born of generalization and abstraction, including the method of analogies, genetic analysis, and systems analysis. The authors also used comparative techniques, graphic interpretation, and the analysis and synthesis of data. The ambition to develop and implement a system capable of addressing challenges at every management layer (from strategic to operational) demands integrated solutions that create a synergistic effect in governing traffic flows and resources. Deploying intelligent transport systems accelerates traffic management processes, improves their efficiency, and cuts costs and time, enhancing service quality and fostering the sustainable development of transport infrastructure. The research emphasizes the urban transport system, which should be regarded as a constellation of subsystems, each affecting different dimensions of city life—economic, social, environmental attractiveness, and other pivotal facets. This reality justifies a detailed exploration of the integration potential of the transport service management subsystem, whose task is to secure interaction among all components of the transport system, streamline coordination, and boost the overall efficiency of urban transport.