Return a data frame with 4 columns (vehicle category, type, fuel and avarage kilometers driven) and an aditional column with the number of vehicles for each interest area (cityes, states, countries, etc).
Average daily kilometres driven are defined by vehicle type:
- LDV (Light duty Vehicles) 41 km / day
- TRUCKS (Trucks) 110 km / day
- BUS (Busses) 165 km / day
- MOTO (motorcycles and other vehicles) 140 km / day
The number of vehicles are defined by the distribution of vehicles by vehicle classs and the total number of vehicles by area.
vehicles(
total_v,
area_name = names(total_v),
distribution,
type,
category = NA,
fuel = NA,
vnames = NA,
example = FALSE,
verbose = TRUE
)total of vehicles by area (area length)
area names (area length)
distribution of vehicles by vehicle class
type of vehicle by vehicle class (distribution length)
category name (distribution length / NA)
fuel type by vehicle class (distribution length / NA)
name of each vehicle class (distribution length / NA)
a simple example
display additional information
a fleet distribution data.frame for totalEmission function
total_v and area_name must have the same length.
distribution, type, category (if used), fuel (if used) and vnames (if used) must have the same length.
fleet <- vehicles(example = TRUE)
#> using a example of vehicles (DETRAN 2016 data and SP vahicle distribution):
#> Category Type Fuel Use SP RJ
#> Light Duty Vehicles Gasohol LDV_E25 LDV E25 41 [km/d] 11624342 2712343
#> Light Duty Vehicles Ethanol LDV_E100 LDV E100 41 [km/d] 874627 204079
#> Light Duty Vehicles Flex LDV_F LDV FLEX 41 [km/d] 9845022 2297169
#> Diesel Trucks TRUCKS_B5 TRUCKS B5 110 [km/d] 710634 165814
#> Diesel Urban Busses CBUS_B5 BUS B5 165 [km/d] 792630 184947
#> Diesel Intercity Busses MBUS_B5 BUS B5 165 [km/d] 21865 5101
#> Gasohol Motorcycles MOTO_E25 MOTO E25 140 [km/d] 3227921 753180
#> Flex Motorcycles MOTO_F MOTO FLEX 140 [km/d] 235056 54846
#> MG PR SC
#> Light Duty Vehicles Gasohol 4371228 3036828 2029599
#> Light Duty Vehicles Ethanol 328895 228494 152709
#> Light Duty Vehicles Flex 3702131 2571986 1718932
#> Diesel Trucks 267227 185651 124076
#> Diesel Urban Busses 298061 207072 138392
#> Diesel Intercity Busses 8222 5712 3817
#> Gasohol Motorcycles 1213830 843285 563592
#> Flex Motorcycles 88390 61407 41040
# or the code bellow for the same result
# DETRAN 2016 data for total number of vehicles for 5 Brazilian states (Sao Paulo,
# Rio de Janeiro, Minas Gerais, Parana and Santa Catarina)
# vahicle distribution of Sao Paulo
fleet <- vehicles(total_v = c(27332101, 6377484, 10277988, 7140439, 4772160),
area_name = c("SP", "RJ", "MG", "PR", "SC"),
distribution = c( 0.4253, 0.0320, 0.3602, 0.0260,
0.0290, 0.0008, 0.1181, 0.0086),
category = c("LDV_E25","LDV_E100","LDV_F","TRUCKS_B5",
"CBUS_B5","MBUS_B5","MOTO_E25","MOTO_F"),
type = c("LDV", "LDV", "LDV","TRUCKS",
"BUS","BUS","MOTO", "MOTO"),
fuel = c("E25", "E100", "FLEX","B5",
"B5","B5","E25", "FLEX"),
vnames = c("Light duty Vehicles Gasohol","Light Duty Vehicles Ethanol",
"Light Duty Vehicles Flex","Diesel trucks","Diesel urban busses",
"Diesel intercity busses","Gasohol motorcycles",
"Flex motorcycles"))
#> vehicles:
#> Category Type Fuel Use SP RJ
#> Light duty Vehicles Gasohol LDV_E25 LDV E25 41 [km/d] 11624342 2712343
#> Light Duty Vehicles Ethanol LDV_E100 LDV E100 41 [km/d] 874627 204079
#> Light Duty Vehicles Flex LDV_F LDV FLEX 41 [km/d] 9845022 2297169
#> Diesel trucks TRUCKS_B5 TRUCKS B5 110 [km/d] 710634 165814
#> Diesel urban busses CBUS_B5 BUS B5 165 [km/d] 792630 184947
#> Diesel intercity busses MBUS_B5 BUS B5 165 [km/d] 21865 5101
#> Gasohol motorcycles MOTO_E25 MOTO E25 140 [km/d] 3227921 753180
#> Flex motorcycles MOTO_F MOTO FLEX 140 [km/d] 235056 54846
#> MG PR SC
#> Light duty Vehicles Gasohol 4371228 3036828 2029599
#> Light Duty Vehicles Ethanol 328895 228494 152709
#> Light Duty Vehicles Flex 3702131 2571986 1718932
#> Diesel trucks 267227 185651 124076
#> Diesel urban busses 298061 207072 138392
#> Diesel intercity busses 8222 5712 3817
#> Gasohol motorcycles 1213830 843285 563592
#> Flex motorcycles 88390 61407 41040