get_stop_times_patterns {gtfstools} | R Documentation |
Get stop times patterns
Description
Identifies spatial and spatiotemporal patterns within the stop_times
table. Please see the details to understand what a "pattern" means in each of
these cases.
Usage
get_stop_times_patterns(gtfs, trip_id = NULL, type = "spatial")
Arguments
gtfs |
A GTFS object, as created by |
trip_id |
A character vector including the |
type |
A string specifying the type of patterns to be analyzed. Either
|
Value
A data.table
associating each trip_id
to a pattern_id
.
Details
Two trips are assigned to the same spatial pattern_id
if they travel along
the same sequence of stops. They are assigned to the same spatiotemporal
pattern_id
, on the other hand, if they travel along the same sequence of
stops and they take the same time between stops. Please note that, in such
case, only the time between stops is taken into account, and the time that
the trip started is ignored (e.g. if two trips depart from stop A and follow
the same sequence of stops to arrive at stop B, taking both 1 hour to do so,
their spatiotemporal pattern will be considered the same, even if one
departed at 6 am and another at 7 am). Please also note that the
stop_sequence
field is currently ignored - which means that two stops are
considered to follow the same sequence if one is listed right below the
other on the stop_times
table (e.g. if trip X lists stops A followed by
stop B with stop_sequence
s 1 and 2, and trip Y lists stops A followed by
stop B with stop_sequence
s 1 and 3, they are assigned to the same
pattern_id
).
Examples
data_path <- system.file("extdata/ber_gtfs.zip", package = "gtfstools")
gtfs <- read_gtfs(data_path)
patterns <- get_stop_times_patterns(gtfs)
head(patterns)
# use the trip_id argument to control which trips are analyzed
patterns <- get_stop_times_patterns(
gtfs,
trip_id = c("143765658", "143765659", "143765660")
)
patterns
# use the type argument to control the type of pattern analyzed
patterns <- get_stop_times_patterns(
gtfs,
trip_id = c("143765658", "143765659", "143765660"),
type = "spatiotemporal"
)
patterns