#' Segment Vehicles
#'
#' This function attempts to segment vehicles based on the decision tree in Davison 2020.
#'
#' @param area The frontal surface area of the vehicle in metres squared.
#' @param mass The kerb weight of the vehicle in tonnes.
#' @param type The type approval category of the vehicle - currently either "M1" or "N1".
#' @return A modelled vehicle segment.
#' @export
segment_veh = function(area, mass, type){
segment = dplyr::case_when(
!type %in% c("M1","N1") ~ NA_character_,
area >= 3 & type == "M1" ~ "J",
area >= 3 & type == "N1" & mass >= 1.760 ~ "V3",
area >= 3 & type == "N1" & mass >= 1.305 & mass < 1.760 ~ "V2",
area >= 3 & type == "N1" & mass < 1.305 ~ "V1",
area < 3 & mass < 0.95 ~ "A",
area < 3 & mass >= 0.95 & mass < 1.3 ~ "B",
area < 3 & mass >= 1.3 & area < 2.7 ~ "C",
area < 3 & mass >= 1.3 & area >= 2.7 ~ "D")
return(segment)
}
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