I am trying to develop a long haul intermodal transportation route considering 4 countries for a research paper. Before processing with mixed integer linear programming (MILP) model, I need to calculate travel distance between cities and respective travel time. I prefer to work on R.
Unfortunately the OSRM package is not working on my R version.
Can anyone please suggest any alternative?
Here's one on github. Google is your friend ;-).
https://github.com/rCarto/osrm
As Alan suggests, you need to install it form github:
> require(devtools)
Loading required package: devtools
devtools::install_github("rCarto/osrm")
> devtools::install_github("rCarto/osrm")
> library(osrm)
Data (c) OpenStreetMap contributors, ODbL 1.0. http://www.openstreetmap.org/copyright
Routes: OSRM. http://project-osrm.org/
If you plan to use the OSRM public API, read the OSRM API Usage Policy:
https://github.com/Project-OSRM/osrm-backend/wiki/Api-usage-policy
> data("com")
> distCom distCom$duration[1:5,1:5]
Bethune Annezin Denderleeuw Haaltert Locon
Bethune 0.0 6.2 108.0 104.4 8.0
Annezin 5.5 0.0 110.0 106.3 7.2
Denderleeuw 111.2 114.2 0.0 12.7 107.1
Haaltert 107.7 110.8 12.8 0.0 103.7
Locon 7.3 7.0 102.8 99.2 0.0
Dear Sir, i am also doing research using R. your questions helps me also. The answer provided by Alan Sir and Renaud Sir is very useful.
Another more reliable source would be (mapsapi) package in R which uses the google maps as a base for the calculation. The good side of (mapsapi) is that it gives the free-flow travel time and the travel time during peak traffic. Also, you get the travel-time of each segment of the route and the corresponding length of the segment.
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Statistical Software
- R Statistical Package