Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Amin Keramati"'
Autor:
Seyed Ali Haji Esmaeili, Ahmad Sobhani, Sajad Ebrahimi, Joseph Szmerekovsky, Alan Dybing, Amin Keramati
Publikováno v:
Logistics, Vol 7, Iss 1, p 5 (2023)
Background: Due to the growing demand for energy and environmental issues related to using fossil fuels, it is becoming tremendously important to find alternative energy sources. Bioethanol produced from switchgrass is considered as one of the best a
Externí odkaz:
https://doaj.org/article/027e5a1cdde8452fac81538243efc7a5
Publikováno v:
Journal of Advanced Transportation, Vol 2020 (2020)
Highway-rail grade crossing (HRGC) crashes continue to be the major contributors to rail causalities in the United States and have been intensively researched in the past. Data-mining models focus on prediction while dominant general linear models fo
Externí odkaz:
https://doaj.org/article/c032306037d24f3f839f2fe12c50bcd0
Publikováno v:
Journal of Advanced Transportation, Vol 2020 (2020)
This paper proposes a mathematical model, the competing risks method, to investigate highway-rail grade crossing (HRGC) crash frequency and crash severity simultaneously over a 30-year period. The proposed competing risks model is a special type of s
Externí odkaz:
https://doaj.org/article/8ca79b43736641a38a4ef172fa916fe0
Publikováno v:
Journal of Safety Research. 78:251-261
Introduction: Highway-rail at-grade crossings (HRGCs) are critical locations where a railway and a roadway intersect with one another. Crashes at those locations often result in fatalities and economic and social damages due to the impacts on both ro
Publikováno v:
Journal of Transportation Engineering, Part A: Systems. 146
Wood transportation costs have significant impacts on timber investment returns. To optimize transportation costs, a practical design of the route network is necessary for log trucks that s...
Publikováno v:
Journal of Advanced Transportation, Vol 2020 (2020)
Highway-rail grade crossing (HRGC) crashes continue to be the major contributors to rail causalities in the United States and have been intensively researched in the past. Data-mining models focus on prediction while dominant general linear models fo
Publikováno v:
Journal of Advanced Transportation, Vol 2020 (2020)
This paper proposes a mathematical model, the competing risks method, to investigate highway-rail grade crossing (HRGC) crash frequency and crash severity simultaneously over a 30-year period. The proposed competing risks model is a special type of s
Publikováno v:
Accident; analysis and prevention. 138
Highway-rail grade crossings (HRGCs) are where a roadway and railway intersect at the same level. Safety at HRGCs has been identified as a high-priority concern among transportation agencies, but there has been little research on the effects of HRGC
Publikováno v:
Accident Analysis & Prevention. 144:105683
This paper proposes a machine learning approach, the random survival forest (RSF) for competing risks, to investigate highway-rail grade crossing (HRGC) crash severity during a 29-year analysis period. The benefits of the RSF approach are that it (1)
Publikováno v:
Reliability Engineering & System Safety. 200:106931
Safety is a major concern of transportation planners and engineers in their design of highway rail grade crossings (HRGCs). Safety agencies rely on prediction models to allocate their crossing safety improvement resources. The prediction accuracy per