SIMULАTIОN MОDELING ОF THE URBАN TRАNSPОRT SYSTEM TАKEN INTО АCCОUNT ОF CHАNGES IN PАSSENGER FLОW

Abstract

Simulation modeling has become an essential tool for understanding and optimizing urban transport systems, particularly in the context of evolving passenger flow dynamics. This article presents a simulation modeling approach aimed at capturing changes in passenger flow within the urban transport system. By integrating various data sources and modeling techniques, the proposed approach enables the analysis of passenger behavior, network congestion, and system performance under different scenarios and conditions. The article discusses key elements of the simulation model, including network representation, demand modeling, traffic assignment algorithms, and performance evaluation metrics. Furthermore, case studies illustrate the application of the simulation model to assess the impact of infrastructure changes, policy interventions, and emerging transportation technologies on passenger flow dynamics and system efficiency. Through a comprehensive analysis of simulation modeling in urban transport, this article offers insights into addressing challenges and opportunities for sustainable and resilient urban mobility.