Fast computation of (multiple) detailed itineraries between one or many origin destination pairs.
detailed_itineraries(
r5r_core,
origins,
destinations,
mode = "WALK",
mode_egress = "WALK",
departure_datetime = Sys.time(),
max_walk_dist = Inf,
max_bike_dist = Inf,
max_trip_duration = 120L,
walk_speed = 3.6,
bike_speed = 12,
max_rides = 3,
max_lts = 2,
shortest_path = TRUE,
n_threads = Inf,
verbose = TRUE,
progress = TRUE,
drop_geometry = FALSE
)
rJava object to connect with R5 routing engine
a spatial sf POINT object with WGS84 CRS, or a data.frame containing the columns 'id', 'lon', 'lat'.
string. Transport modes allowed for the trips. Defaults to "WALK". See details for other options.
string. Transport mode used after egress from public transport. It can be either 'WALK', 'BICYCLE', or 'CAR'. Defaults to "WALK". Ignored when public transport is not used.
POSIXct object. If working with public transport
networks, please check calendar.txt
within
the GTFS file for valid dates. See details for
further information on how datetimes are parsed.
numeric. Maximum walking distance (in meters) to access
and egress the transit network, or to make transfers
within the network. Defaults to no restrictions as long
as max_trip_duration
is respected. The max distance is
considered separately for each leg (e.g. if you set
max_walk_dist
to 1000, you could potentially walk up
to 1 km to reach transit, and up to another 1 km to
reach the destination after leaving transit). Obs: if you
want to set the maximum walking distance considering
walking-only trips you have to set the max_trip_duration
accordingly (e.g. to set a distance of 1 km assuming a
walking speed of 3.6 km/h you have to set max_trip_duration = 1 / 3.6 * 60
).
numeric. Maximum cycling distance (in meters) to access
and egress the transit network. Defaults to no
restrictions as long as max_trip_duration
is respected.
The max distance is considered separately for each leg
(e.g. if you set max_bike_dist
to 1000, you could
potentially cycle up to 1 km to reach transit, and up
to another 1 km to reach the destination after leaving
transit). Obs: if you want to set the maximum cycling
distance considering cycling-only trips you have to set
the max_trip_duration
accordingly (e.g. to set a
distance of 5 km assuming a cycling speed of 12 km/h you
have to set max_trip_duration = 5 / 12 * 60
).
numeric. Maximum trip duration in minutes. Defaults to 120 minutes (2 hours).
numeric. Average walk speed in km/h. Defaults to 3.6 km/h.
numeric. Average cycling speed in km/h. Defaults to 12 km/h.
numeric. The max number of public transport rides allowed in the same trip. Defaults to 3.
numeric (between 1 and 4). The maximum level of traffic stress that cyclists will tolerate. A value of 1 means cyclists will only travel through the quietest streets, while a value of 4 indicates cyclists can travel through any road. Defaults to 2. See details for more information.
logical. Whether the function should only return the fastest route alternative (the default) or multiple alternatives.
numeric. The number of threads to use in parallel computing. Defaults to use all available threads (Inf).
logical. TRUE
to show detailed output messages (the default).
logical. TRUE
to show a progress counter. Only works when
verbose
is set to FALSE
, so the progress counter does not
interfere with R5's output messages. Setting progress
to TRUE
may impose a small penalty for computation efficiency, because
the progress counter must be synchronized among all active
threads.
logical. Indicates whether R5 should drop segment's geometry column. It can be helpful for saving memory.
A LINESTRING sf with detailed information about the itineraries between specified origins and destinations. Distances are in meters and travel times are in minutes.
R5 allows for multiple combinations of transport modes. The options include:
TRAM, SUBWAY, RAIL, BUS, FERRY, CABLE_CAR, GONDOLA, FUNICULAR. The option 'TRANSIT' automatically considers all public transport modes available.
WALK, BICYCLE, CAR, BICYCLE_RENT, CAR_PARK
When cycling is enabled in R5, setting max_lts
will allow cycling only on
streets with a given level of danger/stress. Setting max_lts
to 1, for example,
will allow cycling only on separated bicycle infrastructure or low-traffic
streets; routing will revert to walking when traversing any links with LTS
exceeding 1. Setting max_lts
to 3 will allow cycling on links with LTS 1, 2,
or 3.
The default methodology for assigning LTS values to network edges is based on commonly tagged attributes of OSM ways. See more info about LTS in the original documentation of R5 from Conveyal at https://docs.conveyal.com/learn-more/traffic-stress. In summary:
LTS 1: Tolerable for children. This includes low-speed, low-volume streets, as well as those with separated bicycle facilities (such as parking-protected lanes or cycle tracks).
LTS 2: Tolerable for the mainstream adult population. This includes streets where cyclists have dedicated lanes and only have to interact with traffic at formal crossing.
LTS 3: Tolerable for <U+201C>enthused and confident<U+201D> cyclists. This includes streets which may involve close proximity to moderate- or high-speed vehicular traffic.
LTS 4: Tolerable for only <U+201C>strong and fearless<U+201D> cyclists. This includes streets where cyclists are required to mix with moderate- to high-speed vehicular traffic.
For advanced users, you can provide custom LTS values by adding a tag
<key = "lts> to the osm.pbf
file
The detailed_itineraries function uses an R5-specific extension to the McRAPTOR routing algorithm to find paths that are optimal or less than optimal, with some heuristics around multiple access modes, riding the same patterns, etc. The specific extension to McRAPTOR to do suboptimal path routing are not documented yet, but a detailed description of base McRAPTOR can be found in Delling et al (2015).
Delling, D., Pajor, T., & Werneck, R. F. (2015). Round-based public transit routing. Transportation Science, 49(3), 591-604.
r5r
ignores the timezone attribute of datetime objects when parsing dates
and times, using the study area's timezone instead. For example, let's say
you are running some calculations using Rio de Janeiro, Brazil, as your study
area. The datetime as.POSIXct("13-05-2019 14:00:00", format = "%d-%m-%Y %H:%M:%S")
will be parsed as May 13th, 2019, 14:00h in
Rio's local time, as expected. But as.POSIXct("13-05-2019 14:00:00", format = "%d-%m-%Y %H:%M:%S", tz = "Europe/Paris")
will also be parsed as
the exact same date and time in Rio's local time, perhaps surprisingly,
ignoring the timezone attribute.
Other routing:
accessibility()
,
travel_time_matrix()
# NOT RUN {
if (interactive()) {
library(r5r)
# build transport network
data_path <- system.file("extdata/poa", package = "r5r")
r5r_core <- setup_r5(data_path = data_path, temp_dir = TRUE)
# load origin/destination points
points <- read.csv(file.path(data_path, "poa_points_of_interest.csv"))
# inputs
departure_datetime <- as.POSIXct("13-05-2019 14:00:00", format = "%d-%m-%Y %H:%M:%S")
dit <- detailed_itineraries(r5r_core,
origins = points[10,],
destinations = points[12,],
mode = c("WALK", "TRANSIT"),
departure_datetime = departure_datetime,
max_walk_dist = 1000,
max_trip_duration = 120L)
stop_r5(r5r_core)
}
# }
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