The method of selecting a preferred route based on subjective criteria

Seliverstov, Yaroslav A.; Seliverstov, S. A.; Lukomskaya, O.Yu.; Nikitin, Kirill; Grigoriev, Vladimir A.; Vydrina, Evgenia O.

doi:10.1109/ctsys.2017.8109506

Cited by 13 publications

(1 citation statement)

References 21 publications

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“…Solutions to these challenges lie beyond the framework of systems theory, so the modeling of a complex system is always about compromising between model simplicity and system complexity. In practice, compromise decisions are often taken based on a whole range of performance indicators, i.e., in conditions with multiple criteria [14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Analytical Model for Information Flow Management in Intelligent Transport Systems

Terentyev,

Marusin,

Evtyukov

et al. 2023

Mathematics

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

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