Implementation of Unmanned Vehicles to Improve the Quality of Passenger Transposration

Malchikov, Viktor; Shemyakin, Alexander; Ryabchikov, D. S.; Marusin, Aleksandr; Polyarush, A. A.

doi:10.1109/emctech55220.2022.9934038

Cited by 3 publications

(1 citation statement)

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“…Efforts to achieve the target level of sustainability require the introduction of the management practice of the theory of complex systems into the transport systems-more so because the complexity of interactions between the elements within the systems under study is constantly increasing, requiring new methods for big data processing and analysis [1][2][3][4][5][6][7][8]. In modern conditions, the practice of ITS control and management should be able to take into account a large number of factors, including those of a cognitive nature [9][10][11][12][13]. 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.…”

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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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 Main Aspects and Problems in the Construction of a Transport Model

Shemyakin,

Uspensky,

Ryabchikov

et al. 2023

Voronezh Scientific-Technical Bulletin

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This paper presents a transport model that serves as a tool for predicting the effectiveness of the proposed measures both for organizing traffic and for optimizing the route network of public transport. Based on the calculations carried out, an assessment of the throughput and loading level of the most significant intersection located at the entrance to the area of repair work of Pervomaisky Prospekt was carried out. The results obtained showed an insignificant difference when calculating according to regulatory documentation and when using the PTV Vissim software product.

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