osrm R package

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Interface Between R and the OpenStreetMap-Based Routing Service OSRM

Description

OSRM is a routing service based on OpenStreetMap data. See http://project-osrm.org/ for more information. A public API exists but one can run its own instance. This package allows to compute distance (travel time and kilometric distance) between points and travel time matrices.

This package relies on the usage of a running OSRM service (tested with version 5.0.0 of the OSRM API). By default, this service is the OSRM demo server (http://router.project-osrm.org/). If you plan to use the OSRM demo server you should read the OSRM API Usage Policy. You should also take into account “that there are no guarantees regarding availability, stability or correctness of results. It’s server to demonstrate OSRM, not a production-ready API.” Demo Server To change the OSRM server, change the osrm.server option: options(osrm.server = "http://address.of.the.server/"). To change the profile (driving is set by default), use the osrm.profile option: options(osrm.profile = "name.of.the.profile")

Features

Demo

osrmTable

library(osrm)
# Load data
data("com")
# Travel time matrix
distCom <- osrmTable(loc = com[1:50, c("name","lon","lat")])
# First 5 rows and columns
distCom$duration[1:5,1:5]
Bethune Annezin Denderleeuw Haaltert Locon
Bethune 0.00 5.40 95.10 91.60 7.50
Annezin 4.90 0.00 98.30 94.70 7.10
Denderleeuw 94.20 97.30 0.00 10.40 93.50
Haaltert 90.80 93.80 10.40 0.00 90.00
Locon 7.00 6.90 93.50 90.00 0.00

osrmRoute

library(osrm)
# Load data
data("com")

# Travel path between SpatialPointsDataFrame
route <- osrmRoute(src = src[1,], dst = dst[1,], sp = TRUE)
if(require("cartography")){
  osm <- getTiles(spdf = route, crop = TRUE, type = "osmtransport")
  tilesLayer(osm)
  plot(route, lwd = 5, col = "blue", add = TRUE)
  plot(src[1,], pch = 20, col = "green", cex = 5, add = TRUE)             
  plot(dst[1,], pch = 20, col = "red", cex = 5, add = TRUE) 
  dev.off()
}

osrmTrip

library(osrm)
# Load data
data("com")

# Get a trip with a SpatialPointsDataFrame
trips <- osrmTrip(loc = src)

# Map
if(require("cartography")){
  osm <- getTiles(spdf = trips[[1]]$trip, crop = TRUE, type = "osmtransport")
  tilesLayer(osm)
  plot(trips[[1]]$trip, add = TRUE, col = 1:5, lwd = 5)
  plot(src, pch = 21, bg = "red", cex = 2, col = "black", add = TRUE)
}

osrmIsochrone

library(osrm)
# Load data
data("com")

# Get isochones with a SpatialPointsDataFrame, custom breaks
iso <- osrmIsochrone(loc = src[6,], breaks = seq(from = 0,to = 30, by = 5))

# Map
if(require("cartography")){
  osm <- getTiles(spdf = iso, crop = TRUE, type = "osmtransport")
  tilesLayer(osm)
  breaks <- sort(c(unique(iso$min), max(iso$max)))
  pal <- paste(carto.pal("taupe.pal", length(breaks)-1), "95", sep="")
  cartography::choroLayer(spdf = iso, df = iso@data,
                          var = "center", breaks = breaks,
                          border = "grey50", lwd = 0.5, col = pal,
                          legend.pos = "topleft",legend.frame = TRUE, 
                          legend.title.txt = "Driving Time\nto Renescure\n(min)", 
                          add = TRUE)
  plot(src[6,], cex = 2, pch = 20, col ="red", add=T)
  text(src[6,], label = "Renescure", pos = 3)
}