Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ivan Slobodin"'
Publikováno v:
Mathematics, Vol 11, Iss 16, p 3591 (2023)
This paper proposes a new approach to assessing the impact of changes in the traffic flow on pollutant emissions and the traffic capacity of signal-controlled intersections. We present an intelligent vision system tailored to monitor the traffic beha
Externí odkaz:
https://doaj.org/article/6c2f9a05d0f24d2ab654790c30e47ff4
Publikováno v:
Frontiers in Built Environment, Vol 8 (2022)
Externí odkaz:
https://doaj.org/article/2c8c0d70bd794faca120aa3278254329
Autor:
Kirill Khazukov, Vladimir Shepelev, Tatiana Karpeta, Salavat Shabiev, Ivan Slobodin, Irakli Charbadze, Irina Alferova
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-20 (2020)
Abstract This study deals with the problem of rea-time obtaining quality data on the road traffic parameters based on the static street video surveillance camera data. The existing road traffic monitoring solutions are based on the use of traffic cam
Externí odkaz:
https://doaj.org/article/0666307e04e446029bb8bc7267091848
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1144 (2023)
The urban environment near the road infrastructure is particularly affected by traffic emissions. This problem is exacerbated at road junctions. The roadside concentration of particulate (PM2.5 and PM10) emissions depends on traffic parameters, meteo
Externí odkaz:
https://doaj.org/article/cf323c39943a43ea90deac6c08789edf
Publikováno v:
Transportation Research Procedia. 68:543-550
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9233a5b554f1d92362553b61ad6f4ad1
https://doi.org/10.1016/j.trpro.2023.02.074
https://doi.org/10.1016/j.trpro.2023.02.074
Publikováno v:
Transportation Research Procedia. 68:441-446
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a73a75e324960e8f92f57d12436ced59
https://doi.org/10.1016/j.trpro.2023.02.059
https://doi.org/10.1016/j.trpro.2023.02.059
Publikováno v:
Bulletin of South Ural State University series "Economics and management". 15:182-189
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc4a968e2dbea681359d2e470788f3df
https://doi.org/10.14529/em210220
https://doi.org/10.14529/em210220
Publikováno v:
Bulletin of the South Ural State University series "Economics and Management". 15:181-187
Traffic state prediction is a key component of intelligent transport systems (ITS) which has attracted a lot of attention over the past few decades. The improvement in the accuracy of mod-eling and predicting the traffic capacity of intersections, de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63bbaebab399b1ec46879dfbf4ba04b9
https://doi.org/10.14529/em210419
https://doi.org/10.14529/em210419
Autor:
Irakli Charbadze, Irina Alferova, Kirill Khazukov, Vladimir Shepelev, Salavat Shabiev, Tatiana Karpeta, Ivan Slobodin
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-20 (2020)
This study deals with the problem of rea-time obtaining quality data on the road traffic parameters based on the static street video surveillance camera data. The existing road traffic monitoring solutions are based on the use of traffic cameras loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8febf60247936a0b57d656f0178276c
http://link.springer.com/article/10.1186/s40537-020-00358-x
http://link.springer.com/article/10.1186/s40537-020-00358-x
Publikováno v:
Transport and Telecommunication, Vol 21, Iss 1, Pp 15-31 (2020)
Currently, in many cities around the world there is a significant increase in the number of vehicles, which leads to an aggravation of problems and contradictions in the road and transport system. This is especially true of traffic congestion, since
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21ccbefa9176c4748c292b9cf64ea531
https://doaj.org/article/f7f14f73cdf2482db9165f151d3d8014
https://doaj.org/article/f7f14f73cdf2482db9165f151d3d8014