Impossible metro track #1

Closed
opened 2026-07-16 06:32:43 +00:00 by map-issues-bot · 10 comments
Collaborator

Collection issues for all bits of the Stockholm metro where the track does something that's physically impossible.


Location: z19 / 59.35943 / 17.99794
Feature: transit — class=metro_blue, mode=metro
Area: circle r=12 m @ 59.35947, 17.99784

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Collection issues for all bits of the Stockholm metro where the track does something that's physically impossible. --- **Location:** [z19 / 59.35943 / 17.99794](https://experiments.blahonga.org/se-index.html#18.91/59.3594351/17.997936) **Feature:** `transit` — class=metro_blue, mode=metro **Area:** circle r=12 m @ 59.35947, 17.99784 ```map-report { "features": [ { "geometry": { "type": "LineString", "coordinates": [ [ 17.997392490506172, 59.359806653247915 ], [ 17.99749106168747, 59.359728052111706 ], [ 17.997501119971275, 59.359720021115805 ], [ 17.99792591482401, 59.359422018562526 ], [ 17.99774084240198, 59.359531035855156 ], [ 17.998239062726498, 59.35913699991099 ], [ 17.998303771018982, 59.35908488293228 ] ] }, "properties": { "_layer": "transit_metro", "_sourceLayer": "transit", "class": "metro_blue", "mode": "metro" }, "type": "Feature" }, { "geometry": { "type": "Polygon", "coordinates": [ [ [ 17.9980534855662, 59.359471963716175 ], [ 17.9980524431511, 59.35948277790427 ], [ 17.998049325944823, 59.35949348794582 ], [ 17.998044163967776, 59.35950399069727 ], [ 17.998037006932616, 59.359514185011385 ], [ 17.998027923765505, 59.35952397271135 ], [ 17.998017001942305, 59.359533259536256 ], [ 17.998004346646148, 59.35954195604891 ], [ 17.99799007975445, 59.359549978497135 ], [ 17.997974338665184, 59.35955724962037 ], [ 17.997957274973636, 59.35956369939374 ], [ 17.997939053012487, 59.359569265702376 ], [ 17.997919848269188, 59.35957389493969 ], [ 17.99789984569591, 59.35957754252361 ], [ 17.997879237928366, 59.359580173325895 ], [ 17.99785822343063, 59.359581762010485 ], [ 17.9978370045838, 59.35958229327748 ], [ 17.99781578573697, 59.359581762010485 ], [ 17.997794771239235, 59.359580173325895 ], [ 17.997774163471693, 59.35957754252361 ], [ 17.997754160898413, 59.35957389493969 ], [ 17.997734956155114, 59.359569265702376 ], [ 17.997716734193965, 59.35956369939374 ], [ 17.997699670502417, 59.35955724962037 ], [ 17.99768392941315, 59.359549978497135 ], [ 17.997669662521453, 59.35954195604891 ], [ 17.997657007225296, 59.359533259536256 ], [ 17.997646085402096, 59.35952397271135 ], [ 17.997637002234985, 59.359514185011385 ], [ 17.997629845199825, 59.35950399069727 ], [ 17.997624683222778, 59.35949348794582 ], [ 17.9976215660165, 59.35948277790427 ], [ 17.9976205236014, 59.359471963716175 ], [ 17.9976215660165, 59.35946114952808 ], [ 17.997624683222778, 59.35945043948653 ], [ 17.997629845199825, 59.35943993673508 ], [ 17.997637002234985, 59.359429742420964 ], [ 17.997646085402096, 59.359419954721 ], [ 17.997657007225296, 59.35941066789609 ], [ 17.997669662521453, 59.35940197138344 ], [ 17.99768392941315, 59.359393948935214 ], [ 17.997699670502417, 59.359386677811976 ], [ 17.997716734193965, 59.35938022803861 ], [ 17.997734956155114, 59.35937466172997 ], [ 17.997754160898413, 59.359370032492656 ], [ 17.997774163471693, 59.35936638490874 ], [ 17.997794771239235, 59.359363754106454 ], [ 17.99781578573697, 59.359362165421864 ], [ 17.9978370045838, 59.35936163415487 ], [ 17.99785822343063, 59.359362165421864 ], [ 17.997879237928366, 59.359363754106454 ], [ 17.99789984569591, 59.35936638490874 ], [ 17.997919848269188, 59.359370032492656 ], [ 17.997939053012487, 59.35937466172997 ], [ 17.997957274973636, 59.35938022803861 ], [ 17.997974338665184, 59.359386677811976 ], [ 17.99799007975445, 59.359393948935214 ], [ 17.998004346646148, 59.35940197138344 ], [ 17.998017001942305, 59.35941066789609 ], [ 17.998027923765505, 59.359419954721 ], [ 17.998037006932616, 59.359429742420964 ], [ 17.998044163967776, 59.35943993673508 ], [ 17.998049325944823, 59.35945043948653 ], [ 17.9980524431511, 59.35946114952808 ], [ 17.9980534855662, 59.359471963716175 ] ] ] }, "properties": { "_kind": "selection-circle", "_radius_m": 12 }, "type": "Feature" } ], "properties": { "lat": 59.359435, "lng": 17.997936, "map": "se", "zoom": 18.91 }, "type": "FeatureCollection" } ```
Author
Collaborator

Location: z17 / 59.37458 / 17.97003
Feature: transit — class=metro_blue, mode=metro
Area: circle r=12 m @ 59.35947, 17.99784

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Author
Collaborator

Location: z18 / 59.40949 / 17.92798
Feature: transit — class=metro_blue, mode=metro
Area: circle r=12 m @ 59.35947, 17.99784

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Author
Collaborator

Location: z18 / 59.34801 / 18.00293
Feature: transit — class=metro_blue, mode=metro
Area: circle r=12 m @ 59.35947, 17.99784

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Author
Collaborator

Location: z19 / 59.34942 / 17.98666
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Author
Collaborator

Location: z19 / 59.35458 / 17.97314
Feature: transit — class=metro_blue, mode=metro
Area: circle r=12 m @ 59.35947, 17.99784

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Author
Collaborator

impossibly sharp turn


Location: z17 / 59.36004 / 17.97276
Feature: transit — class=metro_blue, mode=metro
Area: circle r=12 m @ 59.35947, 17.99784

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impossibly sharp turn --- **Location:** [z17 / 59.36004 / 17.97276](https://experiments.blahonga.org/se-index.html#17.05/59.360041/17.972765) **Feature:** `transit` — class=metro_blue, mode=metro **Area:** circle r=12 m @ 59.35947, 17.99784 ```map-report { "features": [ { "geometry": { "type": "LineString", "coordinates": [ [ 17.972273603081703, 59.36121734181796 ], [ 17.972474098205566, 59.36086706730376 ], [ 17.9725431650877, 59.36074301799917 ], [ 17.97258272767067, 59.360670911996664 ], [ 17.972586750984192, 59.36066202688622 ], [ 17.972692027688026, 59.36049491802973 ], [ 17.972665205597878, 59.36045903565261 ], [ 17.972830161452293, 59.36016309002886 ], [ 17.972906604409218, 59.35977384583927 ] ] }, "properties": { "_layer": "transit_metro_casing", "_sourceLayer": "transit", "class": "metro_blue", "mode": "metro" }, "type": "Feature" }, { "geometry": { "type": "Polygon", "coordinates": [ [ [ 17.9980534855662, 59.359471963716175 ], [ 17.9980524431511, 59.35948277790427 ], [ 17.998049325944823, 59.35949348794582 ], [ 17.998044163967776, 59.35950399069727 ], [ 17.998037006932616, 59.359514185011385 ], [ 17.998027923765505, 59.35952397271135 ], [ 17.998017001942305, 59.359533259536256 ], [ 17.998004346646148, 59.35954195604891 ], [ 17.99799007975445, 59.359549978497135 ], [ 17.997974338665184, 59.35955724962037 ], [ 17.997957274973636, 59.35956369939374 ], [ 17.997939053012487, 59.359569265702376 ], [ 17.997919848269188, 59.35957389493969 ], [ 17.99789984569591, 59.35957754252361 ], [ 17.997879237928366, 59.359580173325895 ], [ 17.99785822343063, 59.359581762010485 ], [ 17.9978370045838, 59.35958229327748 ], [ 17.99781578573697, 59.359581762010485 ], [ 17.997794771239235, 59.359580173325895 ], [ 17.997774163471693, 59.35957754252361 ], [ 17.997754160898413, 59.35957389493969 ], [ 17.997734956155114, 59.359569265702376 ], [ 17.997716734193965, 59.35956369939374 ], [ 17.997699670502417, 59.35955724962037 ], [ 17.99768392941315, 59.359549978497135 ], [ 17.997669662521453, 59.35954195604891 ], [ 17.997657007225296, 59.359533259536256 ], [ 17.997646085402096, 59.35952397271135 ], [ 17.997637002234985, 59.359514185011385 ], [ 17.997629845199825, 59.35950399069727 ], [ 17.997624683222778, 59.35949348794582 ], [ 17.9976215660165, 59.35948277790427 ], [ 17.9976205236014, 59.359471963716175 ], [ 17.9976215660165, 59.35946114952808 ], [ 17.997624683222778, 59.35945043948653 ], [ 17.997629845199825, 59.35943993673508 ], [ 17.997637002234985, 59.359429742420964 ], [ 17.997646085402096, 59.359419954721 ], [ 17.997657007225296, 59.35941066789609 ], [ 17.997669662521453, 59.35940197138344 ], [ 17.99768392941315, 59.359393948935214 ], [ 17.997699670502417, 59.359386677811976 ], [ 17.997716734193965, 59.35938022803861 ], [ 17.997734956155114, 59.35937466172997 ], [ 17.997754160898413, 59.359370032492656 ], [ 17.997774163471693, 59.35936638490874 ], [ 17.997794771239235, 59.359363754106454 ], [ 17.99781578573697, 59.359362165421864 ], [ 17.9978370045838, 59.35936163415487 ], [ 17.99785822343063, 59.359362165421864 ], [ 17.997879237928366, 59.359363754106454 ], [ 17.99789984569591, 59.35936638490874 ], [ 17.997919848269188, 59.359370032492656 ], [ 17.997939053012487, 59.35937466172997 ], [ 17.997957274973636, 59.35938022803861 ], [ 17.997974338665184, 59.359386677811976 ], [ 17.99799007975445, 59.359393948935214 ], [ 17.998004346646148, 59.35940197138344 ], [ 17.998017001942305, 59.35941066789609 ], [ 17.998027923765505, 59.359419954721 ], [ 17.998037006932616, 59.359429742420964 ], [ 17.998044163967776, 59.35943993673508 ], [ 17.998049325944823, 59.35945043948653 ], [ 17.9980524431511, 59.35946114952808 ], [ 17.9980534855662, 59.359471963716175 ] ] ] }, "properties": { "_kind": "selection-circle", "_radius_m": 12 }, "type": "Feature" } ], "properties": { "lat": 59.360041, "lng": 17.972765, "map": "se", "zoom": 17.05 }, "type": "FeatureCollection" } ```
Author
Collaborator

Location: z17 / 59.33702 / 18.01580
Feature: transit — class=metro_blue, mode=metro
Area: circle r=12 m @ 59.35947, 17.99784

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Author
Collaborator

Location: z17 / 59.32983 / 18.04395
Area: circle r=23 m @ 59.33018, 18.04498

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--- **Location:** [z17 / 59.32983 / 18.04395](https://experiments.blahonga.org/se-index.html#17.35/59.329828/18.043953) **Area:** circle r=23 m @ 59.33018, 18.04498 ```map-report { "features": [ { "geometry": { "type": "Polygon", "coordinates": [ [ [ 18.045395580455907, 59.33018286047022 ], [ 18.04539359864169, 59.330203437881345 ], [ 18.045387672285006, 59.33022381712075 ], [ 18.045377858459897, 59.33024380192523 ], [ 18.045364251678873, 59.33026319983018 ], [ 18.045346982982668, 59.330281824023174 ], [ 18.045326218678266, 59.33029949514305 ], [ 18.045302158737275, 59.33031604300727 ], [ 18.045275034870073, 59.33033130825086 ], [ 18.04524510829433, 59.330345143861166 ], [ 18.04521266721934, 59.330357416593706 ], [ 18.04517802407037, 59.330368008255356 ], [ 18.045141512479898, 59.33037681684262 ], [ 18.045103484074495, 59.330383757524 ], [ 18.04506430508849, 59.33038876345692 ], [ 18.045024352836943, 59.33039178643152 ], [ 18.04498401208187, 59.33039279733491 ], [ 18.044943671326795, 59.33039178643152 ], [ 18.044903719075247, 59.33038876345692 ], [ 18.044864540089243, 59.330383757524 ], [ 18.04482651168384, 59.33037681684262 ], [ 18.044790000093368, 59.330368008255356 ], [ 18.0447553569444, 59.330357416593706 ], [ 18.044722915869407, 59.330345143861166 ], [ 18.044692989293665, 59.33033130825086 ], [ 18.044665865426463, 59.33031604300727 ], [ 18.044641805485472, 59.33029949514305 ], [ 18.04462104118107, 59.330281824023174 ], [ 18.044603772484866, 59.33026319983018 ], [ 18.04459016570384, 59.33024380192523 ], [ 18.044580351878732, 59.33022381712075 ], [ 18.044574425522047, 59.330203437881345 ], [ 18.044572443707832, 59.33018286047022 ], [ 18.044574425522047, 59.33016228305909 ], [ 18.044580351878732, 59.33014190381968 ], [ 18.04459016570384, 59.330121919015205 ], [ 18.044603772484866, 59.330102521110256 ], [ 18.04462104118107, 59.33008389691726 ], [ 18.044641805485472, 59.33006622579738 ], [ 18.044665865426463, 59.33004967793316 ], [ 18.044692989293665, 59.33003441268957 ], [ 18.044722915869407, 59.33002057707927 ], [ 18.0447553569444, 59.33000830434673 ], [ 18.044790000093368, 59.32999771268508 ], [ 18.04482651168384, 59.32998890409781 ], [ 18.044864540089243, 59.32998196341644 ], [ 18.044903719075247, 59.32997695748352 ], [ 18.044943671326795, 59.329973934508914 ], [ 18.04498401208187, 59.329972923605524 ], [ 18.045024352836943, 59.329973934508914 ], [ 18.04506430508849, 59.32997695748352 ], [ 18.045103484074495, 59.32998196341644 ], [ 18.045141512479898, 59.32998890409781 ], [ 18.04517802407037, 59.32999771268508 ], [ 18.04521266721934, 59.33000830434673 ], [ 18.04524510829433, 59.33002057707927 ], [ 18.045275034870073, 59.33003441268957 ], [ 18.045302158737275, 59.33004967793316 ], [ 18.045326218678266, 59.33006622579738 ], [ 18.045346982982668, 59.33008389691726 ], [ 18.045364251678873, 59.330102521110256 ], [ 18.045377858459897, 59.330121919015205 ], [ 18.045387672285006, 59.33014190381968 ], [ 18.04539359864169, 59.33016228305909 ], [ 18.045395580455907, 59.33018286047022 ] ] ] }, "properties": { "_kind": "selection-circle", "_radius_m": 23 }, "type": "Feature" } ], "properties": { "lat": 59.329828, "lng": 18.043953, "map": "se", "zoom": 17.35 }, "type": "FeatureCollection" } ```
Author
Collaborator

Root cause (investigated 2026-07-16): busted source data, not the importer.

All 9 blue-line reports trace to the Trafiklab GTFS shapes.txt carrying spatially out-of-order points. importer/gtfs.go orders points by integer shape_pt_sequence correctly, and se_transit is the raw GTFS reprojected — the jag is already in the source. Example at Solna centrum (blue line 11): sequence 314→315→316 goes SE, snaps ~30 m back NW to within 2 m of the platform, then SE again — exactly the reported geometry.

Scope: all 7 metro lines and 26/31 tram lines are ST_IsSimple = false; each blue line has 9 sharp >120° reversals (= the 9 reports). GTFS shapes are the operator's schedule route-polylines, not surveyed track — inherent, and every Trafiklab feed derives geometry from the same shapes, so there's no cleaner Trafiklab variant.

Lantmäteriet Topo 50 — checked, can't replace it. The kommunikation theme's ralstrafik layer is Järnväg (12030) + Museijärnväg (1111) only — no tunnelbana, no spårväg. The metro is mostly tunnel, which no surveyed-surface map records: only 2.3% of the metro network runs within 40 m of a Topo 50 railway. (Tunnelbana does exist in Topo 10, the detail tier above Topo 50 — but that's not in the data we can download; an access application is in, though LM legal treats Topo 10 as GDPR/PII-restricted, so it's uncertain and any grant may carry redistribution limits unlike Topo 50's CC0.)

OpenStreetMap works. railway=subway covers 90.5% of the network with tunnels mapped (293 ways tunnel=yes) and clean geometry at the exact spot that's broken in GTFS. route=subway relations carry ref+colour (10/11→blue, 13/14→red, 17/18/19→green)+name — richer than the current hardcoded class map.

Recommendation: switch metro + tram line geometry to OSM (subway/tram ways grouped by their route=* relations); keep the GTFS station points (accurate). Decision needed first: OSM is ODbL (share-alike + attribution) whereas every other semap source (Trafiklab / Lantmäteriet CC0, Trafikverket) is permissive — a project-level licensing call, so it is not wired in yet. (If the Topo 10 application is granted under open terms, it would be the better source — surveyed, authoritative, no ODbL.)

Full analysis + before/after visual (private): https://claude.ai/code/artifact/ff4df6e0-0609-4d2c-9daf-03eeec70ca36

**Root cause (investigated 2026-07-16): busted source data, not the importer.** All 9 blue-line reports trace to the Trafiklab GTFS `shapes.txt` carrying spatially out-of-order points. `importer/gtfs.go` orders points by integer `shape_pt_sequence` correctly, and `se_transit` is the raw GTFS reprojected — the jag is already in the source. Example at **Solna centrum** (blue line 11): sequence 314→315→316 goes SE, snaps **~30 m back NW to within 2 m of the platform**, then SE again — exactly the reported geometry. **Scope:** all 7 metro lines and 26/31 tram lines are `ST_IsSimple = false`; each blue line has **9** sharp >120° reversals (= the 9 reports). GTFS shapes are the operator's *schedule* route-polylines, not surveyed track — inherent, and every Trafiklab feed derives geometry from the same shapes, so there's no cleaner Trafiklab variant. **Lantmäteriet Topo 50 — checked, can't replace it.** The `kommunikation` theme's `ralstrafik` layer is `Järnväg` (12030) + `Museijärnväg` (1111) only — no `tunnelbana`, no `spårväg`. The metro is mostly tunnel, which no surveyed-surface map records: only **2.3%** of the metro network runs within 40 m of a Topo 50 railway. (Tunnelbana *does* exist in **Topo 10**, the detail tier above Topo 50 — but that's not in the data we can download; an access application is in, though LM legal treats Topo 10 as GDPR/PII-restricted, so it's uncertain and any grant may carry redistribution limits unlike Topo 50's CC0.) **OpenStreetMap works.** `railway=subway` covers **90.5%** of the network with tunnels mapped (293 ways `tunnel=yes`) and clean geometry at the exact spot that's broken in GTFS. `route=subway` relations carry `ref`+`colour` (10/11→blue, 13/14→red, 17/18/19→green)+name — richer than the current hardcoded class map. **Recommendation:** switch metro + tram *line geometry* to OSM (subway/tram ways grouped by their `route=*` relations); keep the GTFS station points (accurate). **Decision needed first:** OSM is **ODbL** (share-alike + attribution) whereas every other semap source (Trafiklab / Lantmäteriet CC0, Trafikverket) is permissive — a project-level licensing call, so it is **not** wired in yet. (If the Topo 10 application is granted under open terms, it would be the better source — surveyed, authoritative, no ODbL.) Full analysis + before/after visual (private): https://claude.ai/code/artifact/ff4df6e0-0609-4d2c-9daf-03eeec70ca36
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This is now obsolete because we got Topo 10 data and are drawing the metro lines from there.

This is now obsolete because we got Topo 10 data and are drawing the metro lines from there.
art closed this issue 2026-07-31 05:45:12 +00:00
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