Comments (1)
library (m4ra)
packageVersion ("m4ra")
#> [1] '0.1.0.193'
net_sc <- "/<path>/<to>/mannheim-sc.Rds"
gtfs <- "/<path>/<to>/mannheim-gtfs-with-transfers.Rds"
city <- city_name <- "mannheim"
from <- c ("1216123389", "4187247393", "1178997830", "4502052112", "659273998",
"1386088239", "273373473", "269713455", "1742645215", "5045799953")
from_initial <- from
initial_mode <- final_mode <- "bicycle"
quiet <- FALSE
day <- start_time_limits <- NULL
fast <- FALSE
# Initial call to set up caching
x <- m4ra_times_multi_mode (net_sc = net_sc, gtfs = gtfs,
city_name = city_name, initial_mode = initial_mode,
final_mode = final_mode, from = from, quiet = TRUE)
system.time ({
x1 <- m4ra_times_multi_mode (
net_sc = net_sc,
gtfs = gtfs,
city_name = city_name,
initial_mode = initial_mode,
final_mode = final_mode,
from = from
)
})
#> ✔ Total time for data preparation: 00:00:00.37
#> ℹ Calculating single-mode travel times for bicycle
#> ✔ Calculated single-mode travel times for bicycle
#> ℹ Calculating multi-mode travel times
#> ✔ Calculated multi-mode travel times
#> user system elapsed
#> 45.724 0.807 8.221
dim (x1)
#> [1] 10 62403
system.time ({
x2 <- m4ra_times_multi_mode (
net_sc = net_sc,
gtfs = gtfs,
city_name = city_name,
initial_mode = initial_mode,
final_mode = final_mode,
from = from,
duration_max = 900 # 15 minutes
)
})
#> ✔ Total time for data preparation: 00:00:00.28
#> ℹ Calculating single-mode travel times for bicycle
#> ✔ Calculated single-mode travel times for bicycle
#> ℹ Calculating multi-mode travel times
#> ✔ Calculated multi-mode travel times
#> user system elapsed
#> 31.249 0.473 5.646
dim (x2)
#> [1] 10 62354
Created on 2023-04-24 with reprex v2.0.2
And passing a value for duration_max
trims a few destination points off the final matrix which are reached with the full routine, but that example amounts to < 0.08% of all points, so can easily be ignored for general use.
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Related Issues (20)
- 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
- 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
- running m4ra_gtfs_traveltimes on windows is impossible due to mc.cores>1 HOT 1
- Move atfutures -> UrbanAnalyst
- Fix fst write routines HOT 6
- bike car ratios
- multi-modal algorithm HOT 6
- Automobile times HOT 3
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from m4ra.