Analytical Model for Information Flow Management in Intelligent Transport Systems

The performance of this study involves the use zoning method based on principle hierarchical relationship between probabilities. This paper proposes an analytical model allowing for design information and analysis platforms in intelligent transport systems. proposed uses a synthesis methods managing complex systems’ structural dynamics solves problem achieving optimal balance situations existing object subject under analysis. A series principles are formulated that govern mathematical modeling platforms. Specifically, these include object-oriented approach to forming space possible decisions division into levels subsystems technology homogeneity state heterogeneity. Using approach, platform is developed sustainable transportation system management, allows objective, multivariate forecasting-based record changes system’s variables over time particular process, where decision-making simulation models can be adjusted relation process situation within system. demonstrates organizationally technically management systems vector optimization techniques most management. classical functions with unlimited number including traffic volume, cargo turnover, safety status, environmental performance, related associated movement objects network. has produced routing protocol prescribing vehicle trajectories exposed substantial external factors uncertain nature.