## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = identical(tolower(Sys.getenv("NOT_CRAN")), "true"),
  out.width = "100%"
)

## ----echo = FALSE, fig.width=7, fig.height=4----------------------------------
# library(ggplot2)
# 
# # data.frame
# df <- structure(list(option = c(1, 2, 3, 4, 5),
#                      modes = c("Walk", "Bus","Bus + Bus", "Subway", "Bus + Subway"),
#                      time = c(50, 35, 29, 20, 15),
#                      cost = c(0, 3, 5, 6, 8)), class = "data.frame",
#                 row.names = c(NA, -5L))
# 
# # figure
# ggplot(data=df, aes(x=cost, y=time, label = modes)) +
#   geom_step(linetype = "dashed") +
#   geom_point() +
#   geom_text(color='gray30', hjust = -.2, nudge_x = 0.05, angle = 45) +
#   labs(title='Pareto frontier of alternative routes from A to B', subtitle = 'Hypotetical example') +
#   scale_x_continuous(name="Travel cost (BRL)", breaks=seq(0,12,3)) +
#   scale_y_continuous(name="Travel time (minutes)", breaks=seq(0,60,10)) +
#   coord_cartesian(xlim = c(0,14), ylim = c(0, 60)) +
#   theme_classic()

## ----message = FALSE----------------------------------------------------------
# # increase Java memory
# options(java.parameters = "-Xmx2G")
# 
# # load libraries
# library(r5r)
# library(data.table)
# library(ggplot2)
# library(dplyr)
# 
# # build a routable transport network with r5r
# data_path <- system.file("extdata/poa", package = "r5r")
# r5r_core <- setup_r5(data_path)
# 
# # routing inputs
# mode <- c('walk', 'transit')
# max_trip_duration <- 90 # minutes
# 
# # load origin/destination points of interest
# points <- fread(file.path(data_path, "poa_points_of_interest.csv"))
# 

## -----------------------------------------------------------------------------
# # create basic fare structure
# fare_structure <- setup_fare_structure(r5r_core,
#                                        base_fare = 4.8,
#                                        by = "MODE")
# 
# # update the cost of bus and train fares
# fare_structure$fares_per_type[, fare := fcase(type == "BUS", 4.80,
#                                              type == "RAIL", 4.50)]
# 
# # update the cost of tranfers
# fare_structure$fares_per_transfer[, fare := fcase(first_leg == "BUS" & second_leg == "BUS", 7.2,
#                                                  first_leg != second_leg, 8.37)]
# 
# # update transfer_time_allowance to 60 minutes
# fare_structure$transfer_time_allowance <- 60
# 
# fare_structure$fares_per_type[type == "RAIL", unlimited_transfers := TRUE]
# fare_structure$fares_per_type[type == "RAIL", allow_same_route_transfer := TRUE]
# 

## -----------------------------------------------------------------------------
# # save fare rules to temp file
# temp_fares <- tempfile(pattern = "fares_poa", fileext = ".zip")
# r5r::write_fare_structure(fare_structure, file_path = temp_fares)
# 
# 
# fare_structure <- r5r::read_fare_structure(file.path(data_path, "fares/fares_poa.zip"))

## -----------------------------------------------------------------------------
# departure_datetime <- as.POSIXct("13-05-2019 14:00:00",
#                                  format = "%d-%m-%Y %H:%M:%S")
# 
# prtf <- pareto_frontier(r5r_core,
#                       origins = points,
#                       destinations = points,
#                       mode = c("WALK", "TRANSIT"),
#                       departure_datetime = departure_datetime,
#                       fare_structure = fare_structure,
#                       fare_cutoffs = c(1, 4.5, 4.8, 7.20, 8.37),
#                       progress = TRUE
#                       )
# head(prtf)
# 

## ----echo = FALSE, fig.width=7, fig.height=4----------------------------------
# # select origin and destinations
# pf2 <- dplyr::filter(prtf, to_id == 'farrapos_station'  &
#                        from_id %in% c('moinhos_de_vento_hospital',
#                                       'praia_de_belas_shopping_center'))
# 
# # recode modes
# pf2[, modes := fcase(monetary_cost == 1,   'Walk',
#                      monetary_cost == 4.5, 'Train',
#                      monetary_cost == 4.8, 'Bus',
#                      monetary_cost == 7.2, 'Bus + Bus',
#                      monetary_cost == 8.37, 'Bus + Train')]
# 
# # plot
# ggplot(data=pf2, aes(x=monetary_cost, y=travel_time, color=from_id, label = modes)) +
#   geom_step(linetype = "dashed") +
#   geom_point() +
#   geom_text(color='gray30', hjust = -.2, nudge_x = 0.05, angle = 45) +
#   labs(title='Pareto frontier of alternative routes from Farrapos station to:',
#        subtitle = 'Praia de Belas shopping mall and Moinhos hospital',
#        color='Destination') +
#   scale_x_continuous(name="Travel cost ($)", breaks=seq(0,12,2)) +
#   scale_y_continuous(name="Travel time (minutes)", breaks=seq(0,120,20)) +
#   coord_cartesian(xlim = c(0,12), ylim = c(0, 120)) +
#   theme_classic() + theme(legend.position=c(.2,0.8))

## ----message = FALSE----------------------------------------------------------
# r5r::stop_r5(r5r_core)
# rJava::.jgc(R.gc = TRUE)

