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Create a graph for Spiess & Florian's algorithm from the transit data model
François Pacull edited this page Jun 16, 2023
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2 revisions
The GTFS for the Lyon test case has been imported into the transit database. The goal is to create the graph for the assignment using Spiess & Florian's algorithm.
In the first approach, we do not deal with:
- fares
- vehicle capacity
This will be dealt with in another iteration.
We are going to use the 5 following tables:
- stops
- routes
- route_links
- trips
- trips_schedule
shape: (4496, 13)
stop_id | stop | agency_id | link | dir | name | parent_station | description | street | fare_zone_id | transit_zone | route_type | geometry | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dtype | int64 | object | int64 | object | object | object | object | object | object | object | object | int64 | object |
example | 10000000002 | 2 | 1 | None | None | Thurins Mairie | 1 | None | None | 1 | b"\x00\x01\xe6\x10\x00\x00'\xf6\xd0>V\x90\x12@... | ||
nunique | 4496 | 4496 | 1 | 0 | 0 | 2049 | 2054 | 1 | 1 | 0 | 0 | 1 | 2054 |
Remarks (for the present case):
-
stop
,parent_station
could be ofint64
type -
link
,dir
,description
(""),street
(""),fare_zone_id
andtransit_zone
are empty -
rout_type
is always 1
shape: (475, 11)
pattern_id | route_id | route | agency_id | shortname | longname | description | route_type | seated_capacity | total_capacity | geometry | |
---|---|---|---|---|---|---|---|---|---|---|---|
dtype | int64 | int64 | object | int64 | object | object | object | int64 | int64 | int64 | object |
example | 10001001000 | 10001000000 | 11 | 1 | 11 | 1 | 280 | 560 | b'\x00\x01\xe6\x10\x00\x00'\xf6\xd0>V\x90\x12... | ||
nunique | 475 | 141 | 141 | 1 | 1 | 141 | 1 | 1 | 1 | 1 | 465 |
Remarks (for the present case):
-
route
could be ofint64
type -
shortname
(""),description
("") are empty -
rout_type
is always 1
shape: (9637, 7)
transit_link | pattern_id | seq | from_stop | to_stop | distance | geometry | |
---|---|---|---|---|---|---|---|
dtype | int64 | int64 | int64 | int64 | int64 | float64 | object |
example | 20000001 | 10001001000 | 0 | 10000000002 | 10000000006 | 353.155972 | b"\x00\x01\xe6\x10\x00\x00'\xf6\xd0>V\x90\x12@... |
nunique | 9637 | 475 | 46 | 4435 | 4401 | 2650 | 4613 |
shape: (17653, 4)
trip_id | trip | dir | pattern_id | |
---|---|---|---|---|
dtype | int64 | object | int64 | int64 |
example | 10001001001 | 1 | 0 | 10001001000 |
nunique | 17653 | 17653 | 1 | 475 |
Remarks (for the present case):
-
trip
could be of typeint64
shape: (388377, 4)
trip_id | seq | arrival | departure | |
---|---|---|---|---|
dtype | int64 | int64 | int64 | int64 |
example | 1.0001e+10 | 0 | 21600 | 21600 |
nunique | 17653 | 47 | 10095 | 10095 |
Remarks:
-
arrival
anddeparture
times are expressed in seconds from 00h00m00