Підхід до визначення VD-функцій для елементів транспортної мережі в моделі міської мобільності

Abstract. Problem. One of the critical factors influencing the assignment of private transport demand in urban mobility models is the Volume-Delay Function (VDF) applied to transport network elements such as links, nodes, and turns. Decades of research have provided substantial insights into transportation modeling, including the identification of parameters essential for constructing VD-functions. Nevertheless, the accurate definition and calibration of VD-functions for all significant transportation network objects in urban models continue to demand innovative approaches. Goal. The objective of this study is to formulate a method for determining VD-functions for objects of the transport network within the urban mobility model developed using PTV Visum software, leveraging the analysis of historical traffic data. Methodology. The study establishes the relationships between the current speed of private transport and links congestion levels, as well as between travel time and congestion at nodes and turns when applying different VD-functions. Using Kryvyi Rih's urban mobility model, developed in PTV Visum software, the VD-functions were tested in various combinations, with a focus on selecting appropriate calibration parameters. The average vehicle flow rate in the loaded network served as the criterion for assessing the alignment of the model's results with real-world conditions. For the city's street and road network, average daily traffic speeds were analyzed using data from the TomTom Traffic Stats portal, which utilizes FCD technology. The analysis concluded that Scenario 2 is the most suitable for Kryvyi Rih's mobility model, applying the Lohse function for links and TModel Nodes for nodes and turns. Originality. A scientifically interesting aspect is the approach of utilizing average daily vehicle speed data, obtained through FCD technology, to determine and calibrate VD-functions for various types of transport network objects within the urban mobility model. Practical value. This work holds practical significance for transportation modeling engineers, as the developed VD-functions can be applied during the calibration of private transport demand in mobility models for other cities. Additionally, it is valuable for decisionmakers in the transport sector, aiding in more informed planning and management.