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Error correction algorithms in on-board intelligent transport data transmission systems
Author(s) -
Konstantin P. Goloskokov,
V Korotkov,
Anatoliy P. Nyrkov,
Tatiana Knysh
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2061/1/012097
Subject(s) - completeness (order theory) , computer science , reliability (semiconductor) , intelligent transportation system , process (computing) , set (abstract data type) , intelligent decision support system , quality (philosophy) , function (biology) , reliability engineering , systems engineering , algorithm , engineering , artificial intelligence , transport engineering , mathematical analysis , power (physics) , philosophy , physics , mathematics , epistemology , quantum mechanics , evolutionary biology , biology , programming language , operating system
The paper describes the problems of assessing the quality of intelligent transport systems related to organizational and technical systems based on the system analysis of information technologies. It provides the theoretical basis for describing the quality assessment process of intelligent transport systems. The paper also justifies the method of quality assessment of complex systems, which include intelligent transport systems. It is shown that the modern system of intelligent systems should not only be effective, but also not violate the required operation mode. The characteristic evaluating the effect of the target functioning has the properties of measurability, completeness and reliability. The intelligent transport systems may include systems that in the process of control ensure the achievement of set targets with the necessary quality of target functioning in a counteracting environment. In order for the system to function correctly, it is necessary to agree on a set of targets and a set of conditions, i.e. to implement an integrated approach to the functioning of the system as a whole. With an integrated approach it is necessary to agree on all the targets set for the system, as well as all the conditions under which it will operate.

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