perfil | R Documentation |
Set of hourly profiles that represents the mean activity for each hour (local time) of the week.
Light Duty vehicles
Heavy Duty vehicles
passenger cars counted in June 2012
passenger cars counted in June 2013
passenger cars counted in June 2014
light comercial vehicles counted in June 2012
light comercial vehicles counted in June 2013
light comercial vehicles counted in June 2014
motorcycles counted in June 2012
motorcycles counted in June 2013
motorcycles counted in June 2014
Heavy good vehicles counted in June 2012
Heavy good vehicles counted in June 2013
Heavy good vehicles counted in June 2014
passenger cars counted in january 2012
passenger cars counted in january 2013
passenger cars counted in january 2014
light comercial vehicles counted in january 2012
light comercial vehicles counted in january 2013
light comercial vehicles counted in january 2014
Motorcycles counted in january 2012
Motorcycles counted in january 2014
Heavy good vehicles counted in january 2012
Heavy good vehicles counted in january 2013
Heavy good vehicles counted in january 2014
Power generation emission profile
Industrial emission profile
Residencial emission profile
Transport emission profile
Agriculture emission profile
Emission profile for ships
Solvent use emission constant profile
Waste burning emisssion constant profile
passenger cars at Janio Quadros on November 2018
heavy good vehicles at Janio Quadros on November 2018
total vehicle at Janio Quadros on November 2018
passenger cars at Anhanguera-Castello Branco on October 2018
Motorcycles cars at Anhanguera-Castello Branco on October 2018
data(perfil)
A list of data frames with activity by hour and weekday.
- Profiles 1 to 2 are from traffic count at São Paulo city from Perez Martínez et al (2014).
- Profiles 3 to 25 comes from traffic counted of toll stations located in São Paulo city, for summer and winters of 2012, 2013 and 2014.
- Profiles 26 to 33 are for different sectors from Oliver et al (2003).
- Profiles 34 to 36 are for volumetric mechanized traffic count at Janio Quadros tunnel on November 2018.
- Profiles 37 to 38 are for volumetric mechanized traffic count at Anhanguera-Castello Branco on October 2018.
The profile is normalized by days (but is balanced for a complete week) it means diary_emission x profile = hourly_emission.
Pérez-Martínez, P. J., Miranda, R. M., Nogueira, T., Guardani, M. L., Fornaro, A., Ynoue, R., & Andrade, M. F. (2014). Emission factors of air pollutants from vehicles measured inside road tunnels in São Paulo: case study comparison. International Journal of Environmental Science and Technology, 11(8), 2155-2168.
Olivier, J., J. Peters, C. Granier, G. Pétron, J.F. Müller, and S. Wallens, Present and future surface emissions of atmospheric compounds, POET Report #2, EU project EVK2-1999-00011, 2003.
# load the data
data(perfil)
# function to simple view
plot.perfil <- function(per = perfil$LDV, text="", color = "#0000FFBB"){
plot(per[,1],ty = "l", ylim = range(per),axe = FALSE,
xlab = "hour",ylab = "Intensity",main = text,col=color)
for(i in 2:7){
lines(per[,i],col = color)
}
for(i in 1:7){
points(per[,i],col = "black", pch = 20)
}
axis(1,at=0.5+c(0,6,12,18,24),labels = c("00:00","06:00","12:00","18:00","00:00"))
axis(2)
box()
}
# view all profiles in perfil data
for(i in 1:length(names(perfil))){
cat(paste("profile",i,names(perfil)[i],"\n"))
plot.perfil(perfil[[i]],names(perfil)[i])
}
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