projects/ecuador_td_hot_month/scripts/traffic.R

In ibarraespinosa/vein: Vehicular Emissions Inventories

for (i in seq_along(metadata$vehicles)) {
  if (identical(names(veh)[i + 1], metadata$vehicles[i]) == FALSE) {
    switch(language,
      "portuguese" = cat(
        "Nomes incompativeis:\n",
        "metadata:", metadata$vehicles[i], "\n",
        "`veh`:", names(veh)[i + 1], "\n"
      ),
      "english" = cat(
        "Incomptaible names:\n",
        "metadata:", metadata$vehicles[i], "\n",
        "`veh`:", names(veh)[i + 1], "\n"
      ),
      "spanish" = cat(
        "Nombres incomptatibles:\n",
        "metadata:", metadata$vehicles[i], "\n",
        "`veh`:", names(veh)[i + 1], "\n"
      )
    )
    stop()
  }
}


# apagando arquivos
switch(language,
  "portuguese" = message("Apagando veh/*.rds\n"),
  "english" = message("Deleting veh/*.rds\n"),
  "spanish" = message("Borrando veh/*.rds\n")
)

arquivos <- list.files(path = "veh", pattern = ".rds", full.names = TRUE)
file.remove(arquivos)

# fleet age
veh[is.na(veh)] <- 0

# plotting
switch(language,
  "portuguese" = cat("Plotando fluxos\n"),
  "english" = cat("Plotting traffic flows\n"),
  "spanish" = cat("Plotando flujos\n")
)

# identicar nomes de grupos
nveh <- names(veh)
n_PC <- nveh[grep(pattern = "PC", x = nveh)]
n_TAXI <- nveh[grep(pattern = "TAXI", x = nveh)]
n_LCV <- nveh[grep(pattern = "LCV", x = nveh)]
n_TRUCKS <- nveh[grep(pattern = "TRUCKS", x = nveh)]
n_BUS <- nveh[grep(pattern = "BUS", x = nveh)]
n_MC <- nveh[grep(pattern = "MC", x = nveh)]

n_PC <- c(n_PC, n_TAXI)
# PC and TAXI ####
# apply survival functions
for (i in seq_along(metadata$vehicles)) {
  veh[[metadata$vehicles[i]]] <- age(
    x = veh[[metadata$vehicles[i]]],
    type = metadata$survival[i],
    a = metadata$survival_param_a[i],
    b = metadata$survival_param_b[i]
  )
}
#
# calculate proportion in PC
#
lapply(seq_along(n_PC), function(i) {
  df <- veh[, n_PC]
  sum(df[i]) / sum(df, na.rm = T)
}) -> l_pc

names(l_pc) <- n_PC
lapply(seq_along(l_pc), function(i) {
  cat(names(l_pc)[i], " is ", l_pc[[i]], " of PC\n")
}) -> lx
cat("sum: ", sum(unlist(l_pc)), "\n\n")
l_PC <- list()
n_PC
# fuel
kf <- c(rep(k_G, 4), rep(k_D, 4), 1, 1, k_G, 1)

for (i in seq_along(n_PC)) {
  x <- veh[[n_PC[i]]] * kf[i]
  x <- Vehicles(matrix(x, ncol = length(x)))
  saveRDS(x, paste0("veh/", n_PC[i], ".rds"))
  l_PC[[i]] <- unlist(x)
}
dfpc <- as.data.frame(do.call("cbind", l_PC))
names(dfpc) <- n_PC

# LCV ####
#
# calculate proportion in LCV
#
lapply(seq_along(n_LCV), function(i) {
  df <- veh[, n_LCV]
  sum(df[i]) / sum(df, na.rm = T)
}) -> l_lcv

names(l_lcv) <- n_LCV
lapply(seq_along(l_lcv), function(i) {
  cat(names(l_lcv)[i], " is ", l_lcv[[i]], " of LCV\n")
}) -> lx
cat("sum: ", sum(unlist(l_lcv)), "\n\n")
l_LCV <- list()

# fuel
kf <- c(rep(k_G, 3), rep(k_D, 3), rep(1, 2))

for (i in seq_along(n_LCV)) {
  x <- veh[[n_LCV[i]]] * kf[i]
  x <- Vehicles(matrix(x, ncol = length(x)))
  saveRDS(x, paste0("veh/", n_LCV[i], ".rds"))
  l_LCV[[i]] <- unlist(x)
}
dflcv <- as.data.frame(do.call("cbind", l_LCV))
names(dflcv) <- n_LCV

# TRUCKS ####
#
# calculate proportion in TRUCKS
#
lapply(seq_along(n_TRUCKS), function(i) {
  df <- veh[, n_TRUCKS]
  sum(df[i]) / sum(df, na.rm = T)
}) -> l_trucks

names(l_trucks) <- n_TRUCKS
lapply(seq_along(l_trucks), function(i) {
  cat(names(l_trucks)[i], " is ", l_trucks[[i]], " of TRUCKS\n")
}) -> lx
cat("sum: ", sum(unlist(l_trucks)), "\n\n")
l_TRUCKS <- list()

# fuel
kf <- c(rep(k_D, 9), rep(k_G, 9), rep(k_D, 6), 1)

for (i in seq_along(n_TRUCKS)) {
  x <- veh[[n_TRUCKS[i]]] * kf[i]
  x <- Vehicles(matrix(x, ncol = length(x)))
  saveRDS(x, paste0("veh/", n_TRUCKS[i], ".rds"))
  l_TRUCKS[[i]] <- unlist(x)
}
dft <- as.data.frame(do.call("cbind", l_TRUCKS))
names(dft) <- n_TRUCKS

# BUS ####
#
# calculate proportion in BUS
#
lapply(seq_along(n_BUS), function(i) {
  df <- veh[, n_BUS]
  sum(df[i]) / sum(df, na.rm = T)
}) -> l_bus

names(l_bus) <- n_BUS
lapply(seq_along(l_bus), function(i) {
  cat(names(l_bus)[i], " is ", l_bus[[i]], " of BUS\n")
}) -> lx
cat("sum: ", sum(unlist(l_bus)), "\n\n")
l_BUS <- list()

# fuel
kf <- c(rep(k_D, 3), rep(k_G, 3), rep(k_D, 2), rep(k_G, 2), 1, 1)

for (i in seq_along(n_BUS)) {
  x <- veh[[n_BUS[i]]] * kf[i]
  x <- Vehicles(matrix(x, ncol = length(x)))
  saveRDS(x, paste0("veh/", n_BUS[i], ".rds"))
  l_BUS[[i]] <- unlist(x)
}
dfb <- as.data.frame(do.call("cbind", l_BUS))
names(dfb) <- n_BUS

# MC ####
#
# calculate proportion in MC
#
lapply(seq_along(n_MC), function(i) {
  df <- veh[, n_MC]
  sum(df[i]) / sum(df, na.rm = T)
}) -> l_mc

names(l_mc) <- n_MC
lapply(seq_along(l_mc), function(i) {
  cat(names(l_mc)[i], " is ", l_mc[[i]], " of MC\n")
}) -> lx
cat("sum: ", sum(unlist(l_mc)), "\n\n")
l_MC <- list()


# fuel
kf <- c(rep(k_G, 4), 1)

for (i in seq_along(n_MC)) {
  x <- veh[[n_MC[i]]] * kf[i]
  x <- Vehicles(matrix(x, ncol = length(x)))
  saveRDS(x, paste0("veh/", n_MC[i], ".rds"))
  l_MC[[i]] <- unlist(x)
}
dfm <- as.data.frame(do.call("cbind", l_MC))
names(dfm) <- n_MC

df <- cbind(dfpc, dflcv, dft, dfb, dfm)

# plots ####
switch(language,
  "portuguese" = cat("Plotando frota \n"),
  "english" = cat("Plotting fleet \n"),
  "spanish" = cat("Plotando flota \n")
)

n_veh <- list(n_PC, n_LCV, n_TRUCKS, n_BUS, n_MC)

for (i in seq_along(n_veh)) {
  df_x <- df[, n_veh[[i]]]
  png(
    paste0(
      "images/VEH_",
      names(n_veh)[i],
      ".png"
    ),
    2000, 1500, "px",
    res = 300
  )
  colplot(
    df = df_x,
    cols = n_veh[[i]],
    xlab = "Age",
    ylab = "veh",
    main = paste0("Veh", names(n_veh)[i]),
    type = "l",
    pch = NULL,
    lwd = 1,
    theme = theme,
    spl = 8
  )
  dev.off()
}



# ggplot2
f <- list.files(path = "veh", pattern = ".rds", full.names = T)
na <- list.files(path = "veh", pattern = ".rds")
na <- gsub(pattern = ".rds", replacement = "", x = na)
ff <- unlist(lapply(seq_along(f), function(i) {
  sum(readRDS(f[i]), na.rm = T)
}))
df <- data.frame(
  per = ff,
  vehicles = na
)
df <- df[df$vehicles != "fleet_age", ]
df$per <- df$per / sum(df$per) * 100
df$vehicles <- factor(df$vehicles, levels = metadata$vehicles)

dff <- merge(metadata, df, by = "vehicles", all.x = T)
setDT(dff)



p <- ggplot(
  dff[,
    sum(per),
    by = .(family, fuel)
  ],
  aes(
    x = family,
    y = V1,
    fill = fuel
  )
) +
  geom_bar(stat = "identity", col = "black") +
  labs(
    y = "[%]",
    title = "Vehicular composition [%]"
  ) +
  theme_bw() +
  theme(axis.text.x = element_text(hjust = 1))

png(
  filename = paste0("images/TRAFFIC_FAMILY.png"),
  width = 2500, height = 2500, units = "px", pointsize = 12,
  bg = "white", res = 300
)
print(p)
dev.off()


p <- ggplot(df, aes(x = vehicles, y = per, fill = per)) +
  geom_bar(stat = "identity", col = "black") +
  labs(
    y = "[%]",
    title = "Vehicular composition [%]"
  ) +
  ggplot2::scale_fill_gradientn("[%]", colours = cptcity::cpt(rev = T)) +
  theme_bw() +
  coord_flip() +
  scale_x_discrete(limits = rev(metadata$vehicles)) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1))

png(
  filename = paste0("images/TRAFFIC.png"),
  width = 2500, height = 2500, units = "px", pointsize = 12,
  bg = "white", res = 300
)
print(p)
dev.off()

switch(language,
  "portuguese" = message("\nArquivos em:"),
  "english" = message("\nFiles in:"),
  "spanish" = message("\nArchivos en:")
)

message("veh/*\n")

switch(language,
  "portuguese" = message("\nFiguras em"),
  "english" = message("\nFigures in"),
  "spanish" = message("\nFiguras en")
)
message("/images")

switch(language,
  "portuguese" = message("Limpando..."),
  "english" = message("Cleaning..."),
  "spanish" = message("Limpiando...")
)


invisible(gc())