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Information aspects of security in transport: Analytical data processing
A. V. Borisov, A. V. Bosov, D. V. Zhukov, A. V. Ivanov Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
In the fourth, final, article of the series devoted to the description of the decision support system in the field of ensuring the safety of passenger traffic and countering illegal activities in transport, basic concepts, search and selection data functions, and subject-specific analytical calculations are supplemented with statements requiring complex data processing. The content of such statements is provided by the study of joint movements of groups of passengers as well as typical tasks of analyzing summary statistics on passenger traffic. The solutions are provided by the traditional business intelligence tool, OLAP technology. To apply it, the necessary concepts are first formed that describe the fact store (data mart). Facts are formed as a result of discretizing of the timeline of passenger movements. Detailing the specific tasks of analyzing the movement of groups of passengers provides the formation of solutions in the form of OLAP-cubes. In the conclusion, the results of the research performed are summarized.
Keywords:
transport safety, decision support system, transport information, analytical data processing, hypercube.
Received: 21.04.2021
Citation:
A. V. Borisov, A. V. Bosov, D. V. Zhukov, A. V. Ivanov, “Information aspects of security in transport: Analytical data processing”, Sistemy i Sredstva Inform., 32:1 (2022), 4–17
Linking options:
https://www.mathnet.ru/eng/ssi807 https://www.mathnet.ru/eng/ssi/v32/i1/p4
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Abstract page: | 449 | Full-text PDF : | 35 | References: | 33 |
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