Methodology of Adaptive Development of Morphological Model of Urban Transport System for Dynamic Synthesis of deSign Solutions

Abstract

The aim of the research is to scientifically substantiate and determine the mechanism for adapting the morphological structure of the urban transport system to dynamic changes in its functioning. The work is aimed at developing a methodological basis for integrating transport network models with related urban systems within a single intelligent management environment. The main focus is on ensuring the possibility of dynamic synthesis of design solutions that take into account the variability of vehicles and environmental parameters.

The work develops a concept for the development of a morphological model of a transport system through the use of cross-consistent matrices and dynamic polymorphism of object functions. which allows to coordinate complex composite systems through common tangent attributes. An approach to assessing the effectiveness of functional elements is proposed, which provides the possibility of using several alternative algorithms for assessing and taking into account different configurations of a composite system. As an example, the interaction of the transport network and the charging infrastructure for electric vehicles is considered, analytical dependencies between the intensity of traffic flow and the efficiency of the charging infrastructure are identified. To expand the set of influence parameters, simulation modelling was carried out in the PTV Vissim 2026 environment. The methodology was tested on complex nodes of the transport network of the city of Cherkasy. The complexity of the nodes is determined by spatial and other configurational constraints. This makes it impossible to go beyond the area of definition of the accepted morphological features of the transport system in difficult conditions of lack of financial and energy resources. There is a need to expand the morphological structure of the system. Within the framework of a computer experiment, alternative options for organizing traffic were simulated using additional traffic light sections and redistribution of regulation phases. The simulation results allowed us to identify optimal system configurations and confirmed the feasibility of introducing new attributes into the morphological structure, such as statistical and dynamic traffic control tools.

The results of the work prove that the use of extended morphological analysis provides high accuracy of matching parameters of tangential systems, allowing to avoid inefficient solutions. It is established that the implementation of improved models in the nodal sections of the network allows to reduce the average delay time on the road by a quarter. The proposed adaptive approach turns the morphological model into a powerful decision-making support tool for urban planning. The created model is open and suitable for further integration into intelligent transport systems.