RailwayData @ 5853d961d360dfeb6c056cbdcb2b96d9bd9de683 UserData @ a0463e741294115fcf5e36ef0f04272d72fcc635 DataProcessing @ 3127d8bbf562e125e47741b0d524b7c969455b90 Start: Sat Feb 14 22:02:01 2026 [0.0] Making list of travelers. [0.0] Reading listfileinfo.csv. [0.0] Reading region, country, and continent descriptions. [0.0] Reading systems list in /fast/home/terescoj/travelmapping/RailwayData/systems.csv...........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [0.2] Finding all .wpt files. 7751 files found. [0.4] Reading waypoints for all routes. ared argtaorargbs argtaold argmit argroca argsar argsm argtad argurq argsub argmetmen argsubp argtc asiaair ausnswtl ausqrt austwa ausvln ausasr ausmtm ausqrc ausst austto aussm ausat ausbt auscm ausgclr ausnlr ausslr ausyt autsk autso autss autsst autst autsv autsw autus autuw autstgm autstg autsti autstl autstw belic bell belrsa belrsb belrsc belrsg belrsl belbm belcm belat belbt belgt belkt bellt bgrsm bgrst bihst bolmtc braefc braefvm braet brasv bratmsp brametba brambh bramdf bramfor brametrec brametrio brametsp bratu brabst bracbtujp bracbtumac bracbtunat braemtu bramforvlt bravltrec brametter bravltrio braair bratc canvia canexo cango cankrc canonr cantsh cantst canwce canmvrd canstm canttc canct canets canion canot canrem canttcl canair canedmsc cantsc cheic cheags chebes chebss chechs chefrrer chejurer chelx cher chesgs cheshs chesob chesos chetirc chevdrer chezhs chezss chelm chebet chebst cheget chezht chlefer chlefep chlefes chlefeu chlms chncrh chnahwhrt chngdprd chngdgzfm chngdgzt chngdszm chngdszt chnjlcct chnjssndt chnnmhm chnscdjy chnshsr chnshm chnshsjt chnxjum chnynwst colmm colmmt czeduk czedukt czeem czeep czeidol czeiredo czevmjk czemp czetb czetl czetml czetol czetos czetpl czetp deuic deurbw deurby deurm deurn deurno deurnrw deurso deubs deubss deufrs deuhbs deudds deuhha deuhhs deuhs deukas deuls deumds deums deuns deuogrs deurms deurns deuros deurrs deuss deuulrs deubu deufu deuhhu deumu deunu deuws deubisb deucc deuksrt deuhsb deurru deurssb deusb deusu deuat deubt deubrbt deubst deuhbt deuct deuctt deudat deudet deuddt deueft deuft deufft deufrt deugt deugrt deugtht deuhbst deuhalt deujt deukat deukst deult deumdt deumzt deumt deunmbt deundht deunt deuplt deurnt deurrt deurot deusnt deuswat deuult deuwut deuzt deuddb deunwh dnkks dnkkm domopret ecumq ecutc egycm espave espca espcc espcm espcma espcmu espcsa espcs espcv espcz espet espfs esprab esprad esprc esprf espsfm espbm espmb espmvbl espmm espmma espmp espms espmv espetb espmg espmlm espta esptb esptbc esptmu espts esptt esptv esptz eures euret euraair eurair eurf eurhr fratgv fratgvl fracp fraarater fracvlter frahdfterk frahdfterc frahdfterp franaqterd franaqterf franaqterl franorter frapacter frapdlter frareme frarer fratra frattu frallm fralym framam frapm frarm fratm fraant fraavt fraaut frabet frabrt frabt fracft fract fradt fragt fraidft frallt fralht fralmt fralyt framat framot framut franat franit fraot fraret frarot fraset frast fratot fratt fravt gbnsx gbngr gbnxc gbngx gbnvt gbncs gbngc gbnht gbnhx gbnld gbncc gbnle gbnln gbnse gbnsw gbnwm gbnch gbnem gbngn gbngw gbnnr gbnsn gbntl gbntp gbnaw gbnlo gbnme gbnsr gbnxr irlnir gbndlr gbngs gbnlu gbntwm gbnbt gbnet gbnlt gbnman gbnnet gbnss gbnwmm gbncvlr wlstbac grcpa grcpp grcpt grcma grcmt grcta hkgmtr hkglr hkghkt hkgop hkgpt hrvzt hunbm hunbt idnkrlc idnmrtj idnlrtj idnlrtjb imnimr indcmrl inddmrc irlent irlie irlluas isrir isrjlr isrtalr itafa itafb italx itamx itafl itanf itanr itans itanv itabafm itabfm itagu itams itatfm itafc itabm itacm itagm itamm itanm itarm itatm itabat itact itaft itamet itamt itant itaot itapat itapt itart itast itatt itavt itapm itavpm jpnjrsks jpnjrc jpnjre jpnjrh jpnjrk jpnjrs jpnjrw jpnlexc jpnlexe jpnlexh jpnlexk jpnlexs jpnlexw jpntlxk jpntlxw jpn7star jpnrhku jpnrhsn jpnrkeo jpnrkhn jpnrkin jpnrkku jpnrksi jpnrmtu jpnrnki jpnrnnr jpnrodk jpnrsbu jpnrshd jpnrsot jpnrtbu jpnrtku jpnvsgc jpnvsge jpnvsgh jpnvsgk jpnvsgw jpnvech jpnveiz jpnvetr jpnvhch jpnvhkr jpnvicb jpnviyo jpnvizh jpnvkmm jpnvknn jpnvkto jpnvktr jpnvohm jpnvsng jpnvsnn jpnvsny jpnvtch jpnvtke jpnvtos jpnmtfk jpnmtkb jpnmtky jpnmtng jpnmtos jpnmtse jpnmtsp jpnmtto jpnmtyk jpnmono jpnagt jpnagtk jpntmen jpntmfi jpntmhi jpntmhk jpntmkg jpntmkm jpntmky jpntmmy jpntmna jpntmok jpntmos jpntmsp jpntmta jpntmth jpntmto jpntmty jpntmut jpndmv jpnfuni jpntour korktx korsrt korsms luxcfl luxst macmlm mexchp mexciit mextm mexfs mexins mexsiteur mexstc mexstcm mexste mysktmk myserl mysmrt mysklm myslrt nldre nldrs nldam nldrm nldat nldht nldrt nldut norf norft norre norr norl norot norbb norto nzlatm nzlkr nzlwm ocetr panmp perml polksl polpkm polskam polskmb polskmt polskmw polwkd polwm polbt polct polet polgdt polgwt polgrt polkt pollt polot polpt polslt polszt poltt polwt polwrt prtcu prtlu prtpu prtlm prtpm prtle prtmts prtpe prtse roubm roubt sgpmrt sgplrt srbbt svkzdb svkedb svkedk svktez swegs swesj swest swesl swess thab turib turim turit turif twnhsr twntpm ukrkme ukrdnm ukrkhm ukrkm ukrkrst ukrkst ukrdnt ukrkht ukrkrt ukrkt ukrzat uryafe usaamtk usaarr usablfx usacfr usacndx usalirr usamarc usambtx usametx usamncw usanctc usanjtr usanmrx usartdx usascax usasepa usautax usavrex usatr usatrcx usaace usajpbx usasmart usanicd usamnrx usawes usanrtx usacmr usadcta usatmdart usasdrx usabmsl usambta usapatco usasepta usanycs usapath usasir usawdw usawmat usamarta usamdt usarta usacta usalvm usalams usabart usaharthi usatu usablrl usanfta usadcsc usalynx usambtlr usamtlr usanjlr usaseplr usapitlr usatide usartalr usadart usamtahc usavmr usautat usalamlr usamts usartdz usamuni usasrt usavta usabsda usanorta usamax usastlr usaebart usaair usaaair usahart usahunhts usair usajta usakcsc usalvct usammm usarooist usasfcc usatsc usautas usawvuprt usarrm usast usaatlsc usadpm usaql usacc usaokcsc usamata usadsc usaelpsc usagal usamck usakensc usamkehop usapsc usawst usascm usassc nawpy vnmhm vnmhcmcm [0.8] Sorting waypoints in Quadtree. [0.8] Finding unprocessed wpt files. 271 .wpt files in /fast/home/terescoj/travelmapping/RailwayData/data not processed, see unprocessedwpts.log. [0.8] Searching for near-miss points. [0.9] Near-miss point log and tm-master.nmp file. [0.9] Concurrent segment detection...........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [1.1] Creating label hashes and checking route integrity. [1.1] Reading updates file. [1.1] Reading systemupdates file. [1.1] Processing traveler list files: BMACS001 Echostatic 25or6to4 Eric_from_rl Ib3kii M3200 Mihai Mislav210 NocoRails Squatchis allenite aterrypenak azmjc02 aznate bartpetat bejacob bartpetat_junior bhemphill bubaclex cebarb98 capn cenlaroads chart33 chordtoll cl94 cockroachking communityrailpartnerships computerfan0 davide992 deathtopumpkins dharwood dough4872 drebbin37 duke87 dygarc ecoDuck7 ellienyaa emmaf epzik8 formulanone fwydriver405 gaucho gpw griffith hoopitypoop hotdogPi imgoph jjbers keithcavey johninkingwood kevinmc kf4lhp kjslaughter_rail kurzov leshii londonpayg markkos1992 michih mikeandkristie mm moabdave mojavenc nagamasa neilbert neptun neroute2 nikicakica northernkeys ntallyn oldduck oscar oyster presidentman panda80 projectoval psvenk radison ran4sh rebelli regionalpayg rlee roadgeek99 roadgeek_adam roukan rschen7754 sammi scenicrailbritain selectric shiggins si404 skatcher sneezy sounderbruce spinoza ssoworld stoneyrails synkdorbit tangoquebec tckma terescoj testmta theFXexpert the_spui_ninja the_spui_ninja_mini ua747sp waszynski yakra [1.2] Processed 107 traveler list files. [1.2] Clearing route & label hash tables. [1.2] Writing route and label logs. [1.2] Augmenting travelers for detected concurrent segments............................................................................................................! [1.3] Writing to concurrencies.log. [1.3] Computing stats...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [1.3] Writing routedatastats.log. [1.3] Creating per-traveler stats logs and augmenting data structure............................................................................................................! [1.3] Writing stats csv files. [1.4] Reading datacheckfps.csv. [1.4] Marking datacheck false positives.....................! [1.5] Found 20067 datacheck errors and matched 0 FP entries. [1.5] Writing log of unmatched datacheck FP entries. [1.5] Writing datacheck.log [1.5] Reading subgraph descriptions and checking for errors. [1.5] Start writing database file TravelMappingRail-2026-02-14@22:01:59.sql. [1.5] Setting up for graphs of highway data. [1.5] Creating unique names and vertices...........! [1.7] Estimating failsafe edge array size: 202795 total active/preview segments, 38824 hidden vertices [1.7] Creating edges...............................................................................................................................! [1.7] Compressing collapsed edges...........! [1.7] Creating per-region vertex & edge sets. [1.8] Creating per-system vertex & edge sets. [1.8] Master graph construction complete. Destroying temporary variables. [1.8] Writing graph waypoint simplification log. [1.8] Formatting vertex coordinate strings. [1.8] Writing master TM graph files. Simple graph has 101577 vertices, 105364 edges. Collapsed graph has 66797 vertices, 70584 edges. Traveled graph has 66819 vertices, 70606 edges. [1.8] Writing continent graphs. AFR (112,113) (112,113) (112,113) NA (15714,15825) (7111,7222) (7116,7227) ASI (23556,24279) (13651,14374) (13653,14376) EUR (55161,57929) (41785,44553) (41800,44568) OCE (4211,4404) (2293,2486) (2293,2486) SA (2823,2814) (1845,1836) (1845,1836) [1.8] Writing multisystem graphs. RoundelRail (579,654) (496,571) (496,571) MTA (927,970) (792,835) (792,835) NYC (1263,1315) (1017,1069) (1017,1069) NJ (346,349) (240,243) (240,243) SEPTA (532,538) (505,511) (505,511) Philly (553,559) (519,525) (519,525) DCArea (277,288) (183,194) (183,194) Boston (446,459) (292,305) (292,305) NWCor (2671,2758) (2074,2161) (2074,2161) Chicago (631,635) (423,427) (423,427) LAMet (182,184) (114,116) (114,116) LosAngeles (412,418) (193,199) (193,199) RTA (74,73) (53,52) (53,52) SanFran (319,318) (255,254) (255,254) Montreal (122,124) (88,90) (88,90) Toronto (470,501) (400,431) (400,431) Amsterdam (250,281) (232,263) (232,263) Antwerp (296,318) (262,284) (262,284) Barcelona (263,293) (252,282) (252,282) MetroBarcelona (209,229) (199,219) (199,219) Basel (283,300) (266,283) (266,283) Berlin (892,968) (861,937) (862,938) Bern (275,284) (256,265) (256,265) Bilbao (130,130) (112,112) (112,112) BiTCity (142,147) (133,138) (133,138) Bodensee (383,392) (296,305) (296,305) Bremen (298,304) (259,265) (259,265) Brno (479,489) (387,397) (387,397) Brussels (601,674) (546,619) (546,619) Cadiz (37,36) (30,29) (30,29) Charleroi (168,170) (129,131) (129,131) Chemnitz (143,146) (125,128) (125,128) Dresden (351,373) (335,357) (335,357) Breisgau (180,183) (157,160) (157,160) Gdansk (222,236) (199,213) (199,213) Geneva (161,166) (134,139) (134,139) Genoa (99,101) (69,71) (69,71) Ghent (132,133) (119,120) (119,120) Graz (297,300) (233,236) (233,236) Hamburg (199,208) (183,192) (183,192) Hannover (348,355) (304,311) (304,311) Innsbruck (289,294) (230,235) (230,235) Karlsruhe (494,504) (467,477) (467,477) Kassel (186,190) (168,172) (168,172) Krakow (273,290) (246,263) (246,263) Lausanne (137,138) (119,120) (119,120) Liberec (314,314) (234,234) (234,234) Lille (95,99) (92,96) (92,96) Linz (171,172) (145,146) (145,146) Lyon (143,155) (141,153) (141,153) Madrid (433,502) (371,440) (371,440) Malaga (49,48) (43,42) (43,42) Marseille (68,74) (68,74) (68,74) Milan (625,709) (570,654) (570,654) LeipzigHalle (711,738) (657,684) (658,685) Magdeburg (193,197) (180,184) (180,184) Munich (459,489) (426,456) (426,456) MurciaAlicante (160,159) (133,132) (133,132) Naples (301,313) (253,265) (253,265) Nice (113,112) (92,91) (92,91) Nuremburg (254,259) (228,233) (228,233) Ostrava (377,389) (306,318) (306,318) Paris (1227,1384) (1042,1199) (1042,1199) Poznan (272,287) (244,259) (244,259) Prague (1155,1256) (944,1045) (944,1045) Randstad (495,531) (478,514) (478,514) RhineMain (534,552) (510,528) (510,528) RhineNecker (598,616) (542,560) (542,560) Rome (456,472) (371,387) (371,387) Rostock (103,106) (94,97) (94,97) Sevilla (81,82) (60,61) (60,61) RheinRuhr (1686,1763) (1589,1666) (1589,1666) Silesia (743,770) (630,657) (630,657) Stuttgart (332,344) (309,321) (309,321) TERHdF (711,735) (447,471) (447,471) TERAqu (777,786) (372,381) (373,382) Toulouse (70,70) (69,69) (69,69) Turin (335,355) (310,330) (310,330) Ulm (125,123) (106,104) (106,104) Usti (681,694) (477,490) (477,490) Valencia (302,304) (226,228) (226,228) Metrovalencia (163,164) (154,155) (154,155) Warsaw (371,410) (353,392) (353,392) Vienna (743,858) (655,770) (656,771) Zaragoza (37,36) (31,30) (31,30) Zurich (636,687) (553,604) (553,604) Adelaide (152,154) (126,128) (126,128) Melbourne (1134,1239) (1041,1146) (1041,1146) SEQLD (228,235) (182,189) (182,189) Sydney (333,364) (256,287) (256,287) [1.8] Writing country graphs. AUS (4051,4245) (2178,2372) (2178,2372) Sxx (7983,8153) (6247,6417) (6248,6418) BRA (1238,1233) (697,692) (697,692) CAN (3276,3305) (1230,1259) (1231,1260) CHN (7042,7248) (2287,2493) (2289,2495) DEU (16931,17741) (13249,14059) (13251,14061) ESP (3492,3640) (2234,2382) (2236,2384) GBR (6317,6579) (4398,4660) (4399,4661) FRA (7371,7729) (4579,4937) (4581,4939) IND (280,294) (280,294) (280,294) ITA (2525,2644) (2025,2144) (2027,2146) MEX (658,671) (345,358) (345,358) USA (11726,11792) (5489,5555) (5493,5559) [1.9] Writing region graphs. AB (218,214) (92,88) (92,88) AK (220,218) (29,27) (29,27) AL (68,65) (13,10) (13,10) AR (67,67) (22,22) (22,22) ARE (165,163) (75,73) (75,73) ARG (956,953) (722,719) (722,719) AUS-ACT (17,15) (16,14) (16,14) AUS-NSW (1017,1062) (487,532) (487,532) AUS-NT (126,125) (4,3) (4,3) AUS-QLD (754,777) (264,287) (264,287) AUS-SA (387,391) (139,143) (139,143) AUS-VIC (1494,1611) (1157,1274) (1157,1274) AUS-WA (263,264) (118,119) (118,119) AUT (1879,2007) (1487,1615) (1488,1616) AZ (264,262) (100,98) (100,98) BC (624,619) (128,123) (128,123) BEL (1807,1958) (1442,1593) (1442,1593) BGR (203,212) (202,211) (202,211) BIH (28,27) (28,27) (28,27) BOL (35,34) (32,31) (32,31) BRA-AL (21,19) (15,13) (15,13) BRA-BA (29,28) (21,20) (21,20) BRA-CE (120,116) (63,59) (63,59) BRA-DF (29,28) (27,26) (27,26) BRA-ES (36,35) (10,9) (10,9) BRA-MA (103,102) (13,12) (13,12) BRA-MG (187,185) (44,42) (44,42) BRA-PA (29,28) (4,3) (4,3) BRA-PB (14,13) (13,12) (13,12) BRA-PE (53,54) (37,38) (37,38) BRA-PI (16,15) (11,10) (11,10) BRA-RJ (269,268) (198,197) (198,197) BRA-RN (33,32) (28,27) (28,27) BRA-RS (32,31) (23,22) (23,22) BRA-SP (269,279) (192,202) (192,202) CA (1649,1657) (786,794) (786,794) CHL (414,420) (265,271) (265,271) CHE (2732,2868) (2304,2440) (2304,2440) CHN-AH (104,100) (47,43) (47,43) CHN-BJ (79,75) (12,8) (12,8) CHN-GD (2341,2445) (832,936) (833,937) CHN-GS (145,143) (22,20) (22,20) CHN-GX (69,68) (8,7) (9,8) CHN-GZ (195,194) (29,28) (29,28) CHN-HA (186,184) (28,26) (28,26) CHN-HB (61,60) (7,6) (7,6) CHN-HE (125,121) (24,20) (24,20) CHN-HL (178,177) (30,29) (30,29) CHN-HN (151,150) (24,23) (24,23) CHN-JL (60,58) (32,30) (32,30) CHN-JS (189,184) (53,48) (53,48) CHN-JX (119,118) (13,12) (13,12) CHN-LN (83,82) (16,15) (16,15) CHN-NM (58,57) (43,42) (43,42) CHN-QH (45,44) (7,6) (7,6) CHN-SC (182,180) (52,50) (52,50) CHN-SD (78,77) (8,7) (8,7) CHN-SH (1067,1145) (478,556) (478,556) CHN-SN (55,54) (10,9) (10,9) CHN-TJ (22,21) (5,4) (5,4) CHN-XJ (100,98) (29,27) (29,27) CHN-YN (86,82) (22,18) (22,18) CHN-ZJ (115,114) (15,14) (15,14) CO (404,389) (145,130) (145,130) COL (43,42) (35,34) (35,34) CT (138,136) (69,67) (69,67) DC (69,71) (63,65) (63,65) CZE (3190,3337) (2515,2662) (2515,2662) DE (30,28) (9,7) (9,7) DEU-BE (854,954) (748,848) (749,849) DEU-BB (841,850) (653,662) (653,662) DEU-BW (2389,2473) (1942,2026) (1942,2026) DEU-BY (2475,2566) (1751,1842) (1751,1842) DEU-HB (223,227) (204,208) (204,208) DEU-HE (1333,1376) (1051,1094) (1051,1094) DEU-HH (212,227) (176,191) (176,191) DEU-MV (531,545) (395,409) (395,409) DEU-NI (1142,1161) (794,813) (794,813) DEU-NW (2661,2794) (2242,2375) (2242,2375) DEU-RP (835,846) (623,634) (623,634) DEU-SH (351,351) (219,219) (219,219) DEU-SL (145,147) (127,129) (127,129) DEU-SN (1512,1557) (1255,1300) (1256,1301) DEU-ST (838,864) (690,716) (690,716) DEU-TH (796,803) (586,593) (586,593) DNK (155,166) (134,145) (134,145) DOM (37,36) (33,32) (33,32) ECU (58,56) (40,38) (40,38) EGY (85,87) (85,87) (85,87) ESP-AN (313,313) (173,173) (175,175) ENG (4815,5066) (3501,3752) (3502,3753) ESP-AR (87,86) (34,33) (34,33) ESP-CB (129,128) (83,82) (83,82) ESP-AS (291,296) (211,216) (211,216) ESP-CL (247,242) (74,69) (74,69) ESP-CM (164,158) (17,11) (17,11) ESP-CN (27,26) (27,26) (27,26) ESP-CT (782,841) (504,563) (504,563) ESP-GA (67,66) (53,52) (53,52) ESP-IB (67,69) (52,54) (52,54) ESP-MC (73,70) (59,56) (59,56) ESP-MD (479,548) (379,448) (379,448) ESP-PV (318,321) (272,275) (272,275) ESP-VC (473,476) (321,324) (321,324) FL (266,256) (153,143) (153,143) FRA-ARA (1139,1186) (674,721) (674,721) FRA-BFC (254,251) (119,116) (119,116) FRA-BRE (230,227) (85,82) (85,82) FRA-CVL (444,445) (285,286) (285,286) FRA-GES (478,480) (252,254) (252,254) FRA-HDF (799,824) (558,583) (558,583) FRA-IDF (1277,1445) (1044,1212) (1044,1212) FRA-NAQ (958,980) (508,530) (509,531) FRA-NOR (407,398) (226,217) (226,217) FRA-OCC (436,440) (244,248) (245,249) FRA-PAC (530,540) (341,351) (341,351) FRA-PDL (504,513) (328,337) (328,337) GA (174,171) (72,69) (72,69) GGY (3,2) (3,2) (3,2) GRC (332,343) (245,256) (245,256) HI (18,17) (13,12) (13,12) HRV (126,133) (125,132) (125,132) HKG (586,614) (279,307) (279,307) HUN (374,390) (370,386) (370,386) IA (67,65) (11,9) (11,9) ID (31,30) (3,2) (3,2) IDN-JW (140,138) (131,129) (131,129) IL (787,789) (462,464) (463,465) IMN (108,104) (96,92) (96,92) IN (103,100) (31,28) (31,28) IND-DL (196,208) (196,208) (196,208) IND-HR (22,19) (22,19) (22,19) IND-TN (41,41) (41,41) (41,41) IND-UP (30,26) (30,26) (30,26) IRL (452,454) (232,234) (232,234) ISR (205,205) (150,150) (150,150) ITA-CAM (316,325) (268,277) (268,277) ITA-EMI (108,107) (86,85) (86,85) ITA-FRI (13,12) (13,12) (13,12) ITA-LIG (133,132) (83,82) (84,83) ITA-LOM (704,787) (630,713) (630,713) ITA-LAZ (487,505) (376,394) (376,394) ITA-PIE (355,374) (319,338) (319,338) ITA-PUG (45,45) (33,33) (33,33) ITA-SAR (24,22) (22,20) (22,20) ITA-SIC (71,67) (70,66) (70,66) ITA-TOS (183,180) (57,54) (58,55) ITA-TRE (5,3) (5,3) (5,3) ITA-UMB (25,23) (9,7) (9,7) KS (83,82) (9,8) (9,8) ITA-VEN (64,62) (62,60) (62,60) KY (58,55) (12,9) (12,9) KOR (2635,2732) (704,801) (704,801) LA (180,177) (123,120) (123,120) LIE (5,4) (5,4) (5,4) JPN (11835,12206) (9123,9494) (9123,9494) LUX (134,134) (103,103) (103,103) MA (494,507) (297,310) (297,310) MAC (34,33) (15,14) (15,14) MB (290,288) (93,91) (93,91) MCO (3,2) (3,2) (3,2) MD (220,215) (125,120) (125,120) ME (19,18) (8,7) (8,7) MEX-CAM (43,42) (10,9) (10,9) MEX-CHIS (7,6) (2,1) (2,1) MEX-CHIH (130,129) (19,18) (19,18) MEX-DF (220,237) (177,194) (177,194) MEX-EMEX (30,25) (24,19) (24,19) MEX-JAL (49,49) (45,45) (45,45) MEX-NL (43,43) (38,38) (38,38) MEX-SIN (30,29) (7,6) (7,6) MEX-QROO (16,15) (7,6) (7,6) MEX-OAX (32,31) (7,6) (7,6) MEX-TAB (13,12) (5,4) (5,4) MEX-YUC (28,27) (9,8) (9,8) MI (146,143) (59,56) (59,56) MN (153,149) (61,57) (61,57) MEX-VER (27,26) (5,4) (5,4) MO (213,212) (66,65) (66,65) MS (108,105) (24,21) (24,21) MT (178,175) (19,16) (19,16) NB (56,55) (11,10) (11,10) NC (167,166) (65,64) (65,64) ND (70,69) (9,8) (9,8) MYS (254,271) (191,208) (191,208) NH (16,14) (8,6) (8,6) NE (77,76) (9,8) (9,8) NIR (111,108) (67,64) (67,64) NJ (368,373) (254,259) (255,260) NL (59,58) (17,16) (17,16) NLD (1142,1223) (926,1007) (928,1009) NM (167,160) (41,34) (41,34) NOR (895,911) (479,495) (479,495) NS (51,50) (5,4) (5,4) NV (177,169) (31,23) (31,23) NY (1062,1106) (800,844) (800,844) NZL (142,142) (102,102) (102,102) OH (172,170) (84,82) (84,82) OK (59,59) (29,29) (29,29) ON (1231,1263) (602,634) (602,634) OR (295,295) (163,163) (163,163) PA (801,806) (591,596) (591,596) PAN (39,38) (31,30) (31,30) PER (42,40) (31,29) (31,29) POL (2691,2846) (2461,2616) (2461,2616) PR (16,15) (16,15) (16,15) PRT (500,516) (470,486) (470,486) PRY (2,1) (2,1) (2,1) PSE (4,2) (4,2) (4,2) QC (640,641) (273,274) (274,275) RI (22,21) (9,8) (9,8) ROU (340,367) (331,358) (332,359) SC (111,108) (17,14) (17,14) SCT (883,904) (484,505) (484,505) SD (11,10) (3,2) (3,2) SGP (214,239) (198,223) (198,223) SK (111,109) (18,16) (18,16) SRB (89,92) (85,88) (85,88) SVK (234,240) (202,208) (202,208) SWE (460,481) (417,438) (419,440) THA (433,432) (187,186) (187,186) TN (62,58) (28,24) (28,24) TUR (305,304) (291,290) (291,290) TWN (566,570) (184,188) (184,188) TX (656,655) (270,269) (270,269) UKR (770,804) (762,796) (762,796) URY (36,35) (22,21) (22,21) UT (241,237) (89,85) (89,85) VA (271,272) (100,101) (100,101) VAT (2,1) (2,1) (2,1) VNM (48,45) (34,31) (34,31) VT (89,86) (20,17) (20,17) WI (96,94) (45,43) (45,43) WA (470,465) (107,102) (109,104) WLS (519,501) (357,339) (357,339) WV (154,149) (28,23) (28,23) YT (9,8) (4,3) (4,3) ! [1.9] Clearing HighwayGraph contents from memory. [2.2] Pause writing database file TravelMappingRail-2026-02-14@22:01:59.sql. [2.2] Resume writing database file TravelMappingRail-2026-02-14@22:01:59.sql. [2.2] Processed 762 highway systems. Processed 7480 routes with a total of 210275 points and 202795 segments. [2.2] WaypointQuadtree contains 8949 total nodes. [2.2] Computing waypoint colocation stats. Waypoint colocation counts: 59540 are each occupied by 1 waypoints. 19831 are each occupied by 2 waypoints. 9262 are each occupied by 3 waypoints. 4673 are each occupied by 4 waypoints. 2540 are each occupied by 5 waypoints. 1708 are each occupied by 6 waypoints. 1069 are each occupied by 7 waypoints. 747 are each occupied by 8 waypoints. 549 are each occupied by 9 waypoints. 379 are each occupied by 10 waypoints. 231 are each occupied by 11 waypoints. 244 are each occupied by 12 waypoints. 150 are each occupied by 13 waypoints. 143 are each occupied by 14 waypoints. 86 are each occupied by 15 waypoints. 93 are each occupied by 16 waypoints. 57 are each occupied by 17 waypoints. 52 are each occupied by 18 waypoints. 31 are each occupied by 19 waypoints. 45 are each occupied by 20 waypoints. 17 are each occupied by 21 waypoints. 33 are each occupied by 22 waypoints. 11 are each occupied by 23 waypoints. 19 are each occupied by 24 waypoints. 9 are each occupied by 25 waypoints. 9 are each occupied by 26 waypoints. 7 are each occupied by 27 waypoints. 6 are each occupied by 28 waypoints. 6 are each occupied by 29 waypoints. 2 are each occupied by 30 waypoints. 5 are each occupied by 31 waypoints. 3 are each occupied by 32 waypoints. 4 are each occupied by 33 waypoints. 3 are each occupied by 34 waypoints. 1 are each occupied by 35 waypoints. 5 are each occupied by 36 waypoints. 0 are each occupied by 37 waypoints. 2 are each occupied by 38 waypoints. 0 are each occupied by 39 waypoints. 1 are each occupied by 40 waypoints. 1 are each occupied by 41 waypoints. 0 are each occupied by 42 waypoints. 0 are each occupied by 43 waypoints. 0 are each occupied by 44 waypoints. 1 are each occupied by 45 waypoints. 0 are each occupied by 46 waypoints. 0 are each occupied by 47 waypoints. 0 are each occupied by 48 waypoints. 0 are each occupied by 49 waypoints. 0 are each occupied by 50 waypoints. 0 are each occupied by 51 waypoints. 0 are each occupied by 52 waypoints. 0 are each occupied by 53 waypoints. 0 are each occupied by 54 waypoints. 1 are each occupied by 55 waypoints. 0 are each occupied by 56 waypoints. 0 are each occupied by 57 waypoints. 0 are each occupied by 58 waypoints. 0 are each occupied by 59 waypoints. 0 are each occupied by 60 waypoints. 0 are each occupied by 61 waypoints. 0 are each occupied by 62 waypoints. 0 are each occupied by 63 waypoints. 0 are each occupied by 64 waypoints. 1 are each occupied by 65 waypoints. Unique locations: 101577 Finish: Sat Feb 14 22:02:03 2026 Total run time: [2.2]