The purpose of this paper is to study the application of geoinformation modeling in transportation process management. A comparative analysis of logistics and geoinformation technologies is provided. Common areas of application are highlighted. A taxonomy of logistics technologies is presented, and the application of geoinformation science to these areas is demonstrated. It is shown that, in the context of the digitalization of transport and logistics, digital modeling in geoinformation science is suitable for the implementation of digital logistics technologies. Geoinformation modeling incorporates digital and non-digital methods, thereby uniting digital and non-digital logistics. Geoinformation modeling in logistics allows for the creation of more reliable transportation plans and the accumulation of experience in executing transportation in complex conditions.

This article explores the risks arising in logistics chains in the modern context of transport digitalization and the emergence of a digital environment. The concepts of "risk level," "logistics situation," and "risk situation" are introduced. The content of these concepts is revealed. An analysis of the development and state of the digital environment in relation to logistics risks is provided. The influence of the digital environment on logistics risks is demonstrated. The concept of "digital logistics risks" is introduced and developed. The types of digital risks in logistics are described. The features of risk management policies are described. The differences in supply chain risk management using reactive and proactive approaches are demonstrated. The importance of machine learning as a risk management method is noted. A taxonomy of the causes of digital logistics risks is provided.

This article is devoted to the study of efficiency metrics and evaluation criteria for intelligent transport logistics management systems in the context of digital transformation. The evolution of performance indicators of logistics operations from traditional to complex multifactorial indicators is considered. A three-tier KPIs system for intelligent transportation systems is analyzed, including levels of deployment, operational efficiency, and results. Special attention is paid to methodological approaches to assessing the impact of digital technologies and tools for monitoring the quality of logistics services in real time. The necessity of developing a unified methodology to overcome methodological gaps and form industry standards of assessment is revealed.

Electronic navigation seals (hereinafter referred to as ENPS) are a reusable means of identification based on the technology of the global navigation satellite system GLONASS. The seal ensures the control of the integrity of transportation across the territory of the Russian Federation online. These devices play a key role in ensuring control over sanctioned transit through the territory of the Russian Federation, ensuring transparency and safety of transportation.

The article discusses the use of the AnyLogic simulation environment to study and optimize the operation of an adjustable intersection. The main purpose of the research is to develop and compare two alternative algorithms for adaptive traffic light control. The proposed algorithms analyze in real time the totality of traffic flow indicators (intensity, queue length, waiting time) and on this basis dynamically adjust the duration of the phases of the traffic light cycle. This makes it possible to conduct virtual tests of algorithms under controlled conditions, objectively evaluate their effectiveness based on key metrics (throughput, average transport delay time) and identify the most stable and productive management method for various loading scenarios. The article is of interest to specialists in the field of intelligent transport systems (ITS), traffic management engineers, as well as to researchers and students involved in modeling and optimizing urban mobility. The research results can be used for practical justification of the implementation of adaptive systems at problematic intersections, further development and calibration of more complex control algorithms, creation of digital counterparts of transport hubs for planning and decision-making.