Выбор программного обеспечения вычислительных комплексов обработки данных административных материалов нарушений правил дорожного движения
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Selection of software of computing complexes for processing data of administrative materials of traffic violations

Konobeevskikh V.V.,  Pitolin M.V. 

UDC УДК 519.72
DOI: 10.26102/2310-6018/2021.32.1.023

  • Abstract
  • List of references
  • About authors

empirical studies have shown a clear dependence of the accident rate in the region on the quality and efficiency of software for processing data of administrative materials of traffic violations. Choosing the optimal software for computing systems for processing administrative materials of traffic violations is an urgent problem nowadays. Fifteen qualitative characteristics of computer software for processing data of administrative materials of traffic violations based on component analysis and their quantitative indicators obtained from experts in the field of road safety management are proposed to investigate in this work. The component analysis of the subject of the study is given, the results of analysis of three groups of qualitative characteristics that allow to select software both on the basis of a certain group of characteristics and on the basis of a complex quality indicator are presented. The further development of the ideas set out in this article will be the development of an application package for the optimal choice of software for computer systems for processing data of administrative materials of traffic violations.

1. Konobeevskikh V. V., Pitolin M. V. Quality assessment of software of computing complexes based on expert data. Modeling, optimization and information technology. 2020;8(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=874 (In Russ) DOI: 10.26102/2310-6018/2020.31.4.028. (accessed 10.03.2021).

2. Konobeevskikh V. V., Pitolin M. V. Quality assessment of software of computing complexes based on expert data. Modeling, optimization and information technology. 2020;8(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=875 (In Russ) DOI: 10.26102/2310-6018/2020.31.4.029 (accessed 10.03.2021).

3. Bukharin S. V., Subiaco E. S., Konobeevskikh V. V. Expert systems for evaluating the quality and price of goods (works, services): a monograph. Voronezh: Voronezh Institute of management marketing and finance. 2006.

4. Azhmuhamedov I.M., Knyazeva O.M. A comprehensive criterion for assessing the quality of information systems. Actual problems of the humanities and natural sciences. 2017:4-6:14-17.

5. Beshelev S. D., Gurvich F. G. Mathematical and statistical methods of expert assessments. Moscow: Statistics. 1980.

6. Bukharin, S. V., Konobeevskikh V. V. Statistical methods of evaluation of quality of radio engineering systems. Safety, security and communications – 2005. Collection of materials of the All-Russian scientific-practical conference. (Voronezh, November 24-25, 2005). 2005:37-39.

7. Litvak B.G. Expert information. Methods of obtaining and analysis. Moscow: Radio and communications. 1982.

8. Kendall M. J. Rank correlations. Moscow: Statistics. 1975.

9. Atanov G., Pustynnikova I. Learning by constructing knowledge bases for expert systems. Proc. International Conf. on Computers in Education. 1999:555-558.

10. Bukharin, S. V., Konobeevskikh V. V. А Combined method of identifying knowledge experts. The bulletin of Voronezh Institute of the Ministry of Internal Affairs of Russia. 2005;2:22-25.

Konobeevskikh Vladimir Valerievich
Сandidate of Science Engineering

Voronezh Institute of the Ministry of the Internal Affairs of the Russian Federation

Voronezh, Russian Federation

Pitolin Mikhail Vladimirovich
Сandidate of Science Engineering, Associate Professor

Voronezh Institute of the Ministry of the Internal Affairs of the Russian Federation

Voronezh, Russian Federation

Keywords: componential analysis, software of computing complexes, administrative materials, traffic offenses, main component, photo and video recording complexes, integrated quality indicator

For citation: Konobeevskikh V.V., Pitolin M.V. Selection of software of computing complexes for processing data of administrative materials of traffic violations. Modeling, Optimization and Information Technology. 2021;9(1). URL: https://moitvivt.ru/ru/journal/pdf?id=946 DOI: 10.26102/2310-6018/2021.32.1.023 (In Russ).

468

Full text in PDF

Published 31.03.2021