Zobrazeno 1 - 8
of 8
pro vyhledávání: '"E. V. Pechatnova"'
Autor:
E. V. Pechatnova, K. S. Nechaev
Publikováno v:
Вестник СибАДИ, Vol 20, Iss 1, Pp 92-101 (2023)
Introduction. Road safety is one of the state targets. One of the indicators of the state of road traffic accidents in state programs is the number of traffic accident-prone section. Reducing their number will lead to a significant increase in the le
Externí odkaz:
https://doaj.org/article/ae78b7afa6d14e59a81ae7cc5e689288
Autor:
E. V. Pechatnova, V. N. Kuznetsov
Publikováno v:
Вестник СибАДИ, Vol 19, Iss 2, Pp 224-235 (2022)
Introduction. Reducing the number of road traffic fatalities and aiming for zero deaths by 2030 is a key road safety government goal. The prevention of especially serious road accidents is one of the elements of achieving this goal. Analysis of the m
Externí odkaz:
https://doaj.org/article/027ee82ccf0644e4b08577420918bf07
Autor:
E. V. Pechatnova, K. E. Safronov
Publikováno v:
Вестник СибАДИ, Vol 17, Iss 4, Pp 512-522 (2020)
Introduction. The Road Traffic Safety Strategy in the Russian Federation for 2018-2023 includes the tasks of reducing an accident rate, among which the problem of accidents outside built-up areas is highlighted. The accidents outside built-up areas a
Externí odkaz:
https://doaj.org/article/fb8f8c1fb5c541819ab08b273d5b3cd0
Autor:
E V Pechatnova, V N Kuznetsov
Publikováno v:
Journal of Physics: Conference Series. 2131:042007
This study aims to the development of mathematical modeling methods based on time series decomposition. This method is used to describe various consistency or recurrence processes. Such a process is the distribution of traffic volume throughout the y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d16ffa8a796aaf3e3b29aa7ee276a5b3
https://doi.org/10.1088/1742-6596/2131/4/042007
https://doi.org/10.1088/1742-6596/2131/4/042007
Autor:
E. V. Pechatnova
Publikováno v:
World of Transport and Transportation. 14:194-200
[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT The author proceeds from the fact that human-saving efforts, technically sound and environmentally efficient m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::804e10a68dc5d4db6cb9b7ff35c2c9e6
https://doi.org/10.30932/1992-3252-2016-14-2-21
https://doi.org/10.30932/1992-3252-2016-14-2-21
Autor:
V. N. Kuznetsov, E. V. Pechatnova
Publikováno v:
Journal of Physics: Conference Series. 1661:012069
The use of neural networks promotes flexible non-linear modelling. Also, it is the perspective direction. The article investigates the influence of the main road characteristics on the accident rate. Twelve variables are selected as the main road cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0447bab57250e6a6b3092e7870ed271b
https://doi.org/10.1088/1742-6596/1661/1/012069
https://doi.org/10.1088/1742-6596/1661/1/012069
Autor:
E. V. Pechatnova, V. N. Kuznetsov
Publikováno v:
Journal of Physics: Conference Series. 1333:032063
Mathematical modeling of traffic flow is necessary for development of the Intelligent Transportation Systems, increase in the efficiency of preventive road safety measures, as well as road maintenance planning. The paper presents the results of mathe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02eba01daf8dffec7ae06d2c40bd0a6d
https://doi.org/10.1088/1742-6596/1333/3/032063
https://doi.org/10.1088/1742-6596/1333/3/032063
Autor:
E. V. Pechatnova, Ja S. Sergeeva
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 272:022175
Road traffic accidents, especially occurring on road sections outside of populated areas, are characterized by high severity of consequences and, therefore, are one of the main safety problems of the technosphere. Studies of many authors confirm the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1445578edfc8bc1968daf15c00b9f3ba
https://doi.org/10.1088/1755-1315/272/2/022175
https://doi.org/10.1088/1755-1315/272/2/022175