Comments (1)
Thanks for asking @idshklein. This package is still under heavy development, so not really ready for "general consumption" just yet, and also not really documented at all. Short answer to your question is here:
https://github.com/ATFutures/m4ra/blob/b57c1cb9c921082d086c68aab883254369ffe13a/R/utils.R#L29-L39
So you just need to:
Sys.setenv ("M4RA_NUM_CORES" = 4) # or whatever
Note that everything really is designed to run in parallel, and running on single core, or even only a few, will generally take a long time to calculate. You also need to actively look at dynamic memory consumption, because depending on how big your GTFS feed is, the routines can require more memory than what is available.
Can I ask what you'd be using this for? I'd be happy to help further if it's an interesting project. It's currently being tested exclusively for my own purposes (mostly https://urbananalyst.city), but would be great to have a second use-case for testing.
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Related Issues (20)
- bike car ratios
- multi-modal algorithm HOT 6
- Automobile times HOT 3
- Use fst to cache networks HOT 3
- Include options to extract data from local file with osmium
- m4ra_times_mm_car function HOT 3
- Separate prepare_data function and use output of that as input to all main functions HOT 1
- Return data on number of transfers HOT 2
- Parallelise add_net_to_gtfs
- Change storage mode of Rcpp matrices to <int>
- Estimate frequency of fastest connections HOT 3
- Estimate quality of bicycle infrastructure HOT 1
- Restrict main MM routines to distance threshold HOT 1
- Add elevation to networks generated in "prepare_data" phase HOT 1
- Loop over subsets of stops in m4ra_gtfs_traveltimes
- Reduce sizes of initial times,transfers,interval matrices
- Use arrow to read/write main GTFS matrices
- Move atfutures -> UrbanAnalyst
- Fix fst write routines HOT 6
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