The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

osrmr

Adrian Stämpfli and Michael Schmid, IMS-FHS

2021-05-31

‘osrmr’ is a little R package designed to easily access and use the OSRM (open source routing machine - http://project-osrm.org/) directly from R.

Many problems with geocoding tasks can be solved in R. Yet, there is no direct routing engine implemented. For such tasks, OSRM is a widely used tool to access geospacial data and solve routing problems. The ‘osrmr’ package gives the possibility to access a basic functionality of OSRM.

server

You can access the OSRM-routing-engine with the onlinehost of OSRM (API 5) or by running a localhost of OSRM (API 4 or 5) on your device. As far as I know, there is no simple way to access the onlinehost of the OSRM API 4.

In order to use the localhost you need a local build of the OSRM-routing-engine (https://github.com/Project-OSRM/osrm-backend/wiki/Building-OSRM). Keep the local build in a directory of your choice. This directory should contain a map of the area you want to work with (i.e. "switzerland-latest.osrm", "germany-latest.osrm", "great-britain.osrm", …) and other data and scripts.

library(osrmr)

# Set the path of your localhost as environment variable
Sys.setenv("OSRM_PATH"="C:/OSRM_API5")

# start localhost of OSRM
run_server("switzerland-latest.osrm")
quit_server() # quit the running server

use OSRM in R

With the ‘osrmr’ package you can use the following basic functionalities of OSRM:

The coordinate-standard for all functionalities of ‘osrmr’ is WGS84.

Keep in mind that different API’s and localhost/onlinehost may return different results. There are pro’s and con’s for using one specific configuration. When choosing your configuration keep the following points in mind:

nearest

For given coordinates, you can calculate the nearest position which can be accessed by car by using the function nearest(). You can specify the coordinates, the API version and whether to use the localhost or not.

library(osrmr)
nearest(lat = 47, lng = 8, api_version = 5, localhost = FALSE)
run_server("switzerland-latest.osrm")
nearest(lat = 47, lng = 8, api_version = 5, localhost = TRUE)
quit_server()
#        lat      lng
# 1 47.00008 8.003016

Results may differ depending on the api version and the build of the localhost (or onlinehost).

viaroute

For a given start- and end-destination, you can access route informations using viaroute(). OSRM chooses the nearest point which can be accessed by car for the start- and end-destination. You can choose whether to return only the traveltime (in seconds, as numeric) or more details of the route (as list), by setting the parameter instructions.

viaroute(lat1 = 47.1, lng1 = 8.1, lat2 = 46.9, lng2 = 8.3, instructions = FALSE,
         api_version = 5, localhost = FALSE)

viaroute(lat1 = 47.1, lng1 = 8.1, lat2 = 46.9, lng2 = 8.3, instructions = TRUE,
         api_version = 5, localhost = FALSE)

decoder

Use decode_geom() to decode polylines. Polylines can be generated with OSRM (see example below). Depending on the OSRM API version, the precision for [lat, lng] encoding is different.

To decode a polyline the right way you need to know the precision of the polyline. The parameter precision of decode_geom() accepts the values 5 (1e-5) or 6 (1e-6) to decode a polyline.

polyline_5 <- rjson::fromJSON(file = "http://router.project-osrm.org/route/v1/driving/8.1,47.1;8.3,46.9?steps=false&geometries=polyline")$routes[[1]]$geometry
polyline_6 <- rjson::fromJSON(file = "http://router.project-osrm.org/route/v1/driving/8.1,47.1;8.3,46.9?steps=false&geometries=polyline6")$routes[[1]]$geometry

decoded_5 <- decode_geom(polyline_5, precision = 5)
decoded_6 <- decode_geom(polyline_6, precision = 6)

options(digits = 10)
decoded_5[1:5,]
decoded_6[1:5,]

nrow(decoded_5)
nrow(decoded_6)

The differences of precisions 5 and 6 are smaller than a tolerance of 1e-6.

assertthat::assert_that(all.equal(decoded_5, decoded_6, tolerance = 1e-6))
Sys.unsetenv("OSRM_PATH")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.