RailwayData @ 14b441e832a78ad06685fc09699a2c23060ca040 UserData @ 8927f3775fe09a807ef4efefff822bc50df30efb DataProcessing @ 37c5ee3c2fda58c33a7ce17994193c8db74ce114 Start: Tue Sep 17 22:47:43 2024 [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. 6167 files found. [0.3] Reading waypoints for all routes. argtaold argtaorargmit argroca argbs argsar argsm argtad argurq argsub argmetmen argsubp argtc 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 bgrsm bgrst bihst bolmtc braefc braefvm braet brasv bratmsp brametba brambh bramdf bramfor brametrec brametrio brametsp bratu brabst bracbtujp bracbtumac bracbtunatbraemtu bramforvlt bravltrec brametter bravltrio braair bratc canvia canexo cango cankrc canonr cantsh cantst canwce canmvrd canstm canttc canct canets canion canot canrem canair canedmsc cantsc cheags chebes chebss chechs chefrrer chelx chesgs cheshs chesob chesos chetirc chevdrer chezhs chezss chelm chebet chebst cheget chezht chlefer chlefep chlefes chlefeu chlms chncrh chngdprd chngdgzfm chngdszm colmm colmmt czeduk czedukt czeem czeep czeidol czeiredo czevmjk czemp czetb czetl czetml czetol czetos czetpl czetp deubs deubss deufrs deuhbs deudds deuhhs deuhs deukas deuls deumds deums deuns deurms deurns deuros deurrs deuss deuulrs deubu deubisb deucc deufu deuhhu deuhsb deuksrt deumu deunu deurssb deurru deusb deusu deuws 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 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 eurapm eurf eurhr fratgv fracp frahdfterk frahdfterc frahdfterp franaqterd franaqterf franaqterl 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 gbncs gbngc gbngr gbngx gbnht gbnhx gbnld gbnsx gbnvt gbnxc gbnaw gbncc gbnch gbnem gbngn gbngw gbnle gbnln gbnlo gbnme gbnnr gbnse gbnsn gbnsr gbnsw gbntl gbntp gbnwm gbnxr irlnir gbndlr gbngs gbnlu gbntwm gbnbt gbnet gbnlt gbnman gbnnet gbnss gbnwmm grcpa grcpp grcpt grcma grcmt grcta hkgmtr hkglr hkghkt hkgop hkgpt hrvzt hunbm hunbt idnkrlc idnmrtj idnlrtj idnlrtjb imnimr indcmrl inddmrc irlent irlie irlluas 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 korsmsluxcfl luxst macmlm mexchp mexciit mextm mexfs mexins mexsiteur mexstc mexstcm mexste mysktmk myserl mysmrt mysklm myslrt nldic nldre nldrs nldam nldrm nldat nldht nldrt nldut norf norft norre norr norl norot norbb norto nzlatm nzlkr nzlwm panmp perml polksl polpkm polskam polskmbpolskmt polskmw polwkd polwm polbt polct polet polgdt polgwt polgrt polkt pollt polot polpt polslt polszt poltt polwt polwrt 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 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 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 [0.4] Sorting waypoints in Quadtree. [0.5] Finding unprocessed wpt files. 492 .wpt files in /fast/home/terescoj/travelmapping/RailwayData/data not processed, see unprocessedwpts.log. [0.5] Searching for near-miss points. [0.5] Near-miss point log and tm-master.nmp file. [0.5] Concurrent segment detection...........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [0.6] Creating label hashes and checking route integrity. [0.6] Reading updates file. [0.6] Reading systemupdates file. [0.7] Processing traveler list files: NocoRails Echostatic aterrypenak M3200 BMACS001 Ib3kii 25or6to4 Mislav210 aznate bartpetat bejacob bubaclex cebarb98 chart33 chordtoll cl94 cockroachking communityrailpartnerships deathtopumpkins dough4872 drebbin37 duke87 ecoDuck7 epzik8 fwydriver405 griffith hoopitypoop hotdogPi jjbers imgoph kjslaughter_rail kevinmc londonpayg kurzov markkos1992 mm michih moabdave mojavenc nagamasa neilbert neptun oyster neroute2 oscar panda80 psvenk radison ran4sh rlee roadgeek99 roadgeek_adam rschen7754 sammi scenicrailbritain shiggins selectric si404 sounderbruce ssoworld stoneyrails tckma testmta theFXexpert terescoj the_spui_ninja the_spui_ninja_mini [0.7] Processed 67 traveler list files. [0.7] Clearing route & label hash tables. [0.7] Writing route and label logs. [0.7] Augmenting travelers for detected concurrent segments....................................................................! [0.7] Writing to concurrencies.log. [0.7] Computing stats..........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [0.7] Writing routedatastats.log. [0.7] Creating per-traveler stats logs and augmenting data structure....................................................................! [0.7] Writing stats csv files. [0.7] Reading datacheckfps.csv. [0.7] Marking datacheck false positives..............! [0.8] Found 13965 datacheck errors and matched 0 FP entries. [0.8] Writing log of unmatched datacheck FP entries. [0.8] Writing datacheck.log [0.8] Reading subgraph descriptions and checking for errors. [0.8] Start writing database file TravelMappingRail-2024-09-17@22:47:42.sql. [0.8] Setting up for graphs of highway data. [0.9] Creating unique names and vertices.........! [1.0] Estimating failsafe edge array size: 154740 total active/preview segments, 29127 hidden vertices [1.0] Creating edges.....................................................................................................................! [1.0] Compressing collapsed edges.......ERROR: segment name mismatch in HGEdge collapse constructor: edge1 named BLp,BLp,NSLn edge2 named NSLn ..! [1.0] Creating per-region vertex & edge sets. [1.0] Creating per-system vertex & edge sets. [1.0] Master graph construction complete. Destroying temporary variables. [1.0] Writing graph waypoint simplification log. [1.1] Writing master TM graph files. Simple graph has 83510 vertices, 86497 edges. Collapsed graph has 57651 vertices, 60638 edges. Traveled graph has 57684 vertices, 60671 edges. [1.1] Writing continent graphs. AFR (27,26) (27,26) (27,26) [1.1] Writing multisystem graphs. RoundelRail (557,633) (505,581) (505,581) SA (2823,2815) (1845,1837) (1845,1837) OCE (3311,3411) (2223,2323) (2223,2323) MTA (926,969) (791,834) (791,834) NA (15382,15510) (6908,7036) (6912,7040) ASI (18583,19258) (12272,12947) (12272,12947) EUR (43384,45477) (34376,36469) (34405,36498) NYC (1262,1314) (1016,1068) (1016,1068) 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 (429,442) (284,297) (284,297) NWCor (2653,2740) (2065,2152) (2065,2152) Chicago (631,635) (423,427) (423,427) LAMet (170,171) (107,108) (107,108) LosAngeles (399,403) (186,190) (186,190) RTA (74,73) (53,52) (53,52) SanFran (319,318) (255,254) (255,254) Montreal (105,105) (75,75) (75,75) Toronto (469,499) (400,430) (400,430) Amsterdam (251,282) (236,267) (236,267) Antwerp (287,309) (257,279) (257,279) Barcelona (259,289) (248,278) (248,278) MetroBarcelona (209,229) (199,219) (199,219) Basel (302,319) (272,289) (272,289) Berlin (894,962) (861,929) (861,929) Bern (239,244) (216,221) (216,221) Bilbao (105,105) (92,92) (92,92) BiTCity (142,147) (133,138) (133,138) Bodensee (393,402) (304,313) (305,314) Bremen (298,305) (252,259) (254,261) Brno (479,489) (387,397) (387,397) Brussels (580,651) (533,604) (533,604) Cadiz (37,36) (30,29) (30,29) Charleroi (162,165) (124,127) (124,127) Chemnitz (143,146) (122,125) (123,126) Dresden (363,385) (334,356) (335,357) Breisgau (180,183) (147,150) (148,151) Gdansk (222,236) (199,213) (199,213) Geneva (161,166) (131,136) (132,137) Genoa (99,101) (69,71) (69,71) Ghent (139,142) (123,126) (123,126) Graz (297,301) (231,235) (231,235) Hamburg (202,210) (181,189) (181,189) Hannover (342,349) (285,292) (285,292) Innsbruck (289,294) (229,234) (229,234) Karlsruhe (507,520) (464,477) (465,478) Kassel (186,190) (166,170) (166,170) Krakow (273,290) (246,263) (246,263) Lausanne (163,164) (127,128) (127,128) Liberec (313,313) (231,231) (231,231) Lille (95,99) (92,96) (92,96) Linz (171,172) (142,143) (142,143) Lyon (141,153) (139,151) (139,151) Madrid (438,506) (385,453) (385,453) Malaga (49,48) (43,42) (43,42) Marseille (59,63) (59,63) (59,63) Milan (618,696) (562,640) (562,640) LeipzigHalle (694,721) (632,659) (636,663) Magdeburg (190,192) (171,173) (173,175) Munich (442,470) (417,445) (418,446) MurciaAlicante (160,160) (133,133) (133,133) Naples (307,323) (261,277) (261,277) Nice (113,112) (92,91) (92,91) Nuremburg (247,252) (218,223) (218,223) Paris (1195,1347) (1047,1199) (1048,1200) Ostrava (377,389) (306,318) (306,318) Poznan (272,287) (244,259) (244,259) Prague (1155,1258) (944,1047) (944,1047) Randstad (504,548) (484,528) (484,528) RhineMain (533,551) (491,509) (492,510) RhineNecker (568,585) (498,515) (500,517) Rome (457,471) (367,381) (367,381) Rostock (102,105) (89,92) (89,92) RheinRuhr (1681,1760) (1554,1633) (1559,1638) Sevilla (81,82) (60,61) (60,61) Silesia (743,772) (630,659) (630,659) Stuttgart (332,344) (302,314) (302,314) TERHdF (706,730) (461,485) (461,485) TERAqu (777,786) (370,379) (370,379) Toulouse (70,70) (69,69) (69,69) Turin (335,356) (310,331) (310,331) Ulm (125,124) (102,101) (102,101) Usti (681,697) (474,490) (474,490) Valencia (304,307) (228,231) (228,231) Metrovalencia (163,164) (154,155) (154,155) Vienna (743,859) (651,767) (652,768) Warsaw (371,410) (353,392) (353,392) Zaragoza (37,36) (31,30) (31,30) Zurich (655,713) (566,624) (566,624) Adelaide (133,132) (127,126) (127,126) Melbourne (1052,1133) (1040,1121) (1040,1121) SEQLD (200,200) (182,182) (182,182) Sydney (280,296) (260,276) (260,276) Sxx (7887,8063) (5969,6145) (5988,6164) [1.3] Writing country graphs. AUS (3160,3262) (2112,2214) (2112,2214) BRA (1238,1234) (697,693) (697,693) CAN (3202,3225) (1167,1190) (1168,1191) CHN (3744,3865) (1248,1369) (1248,1369) DEU (9079,9401) (8262,8584) (8285,8607) ESP (3528,3677) (2260,2409) (2262,2411) FRA (5505,5768) (3565,3828) (3566,3829) GBR (6118,6367) (4405,4654) (4405,4654) IND (280,294) (280,294) (280,294) ITA (2301,2415) (1993,2107) (1993,2107) MEX (658,671) (345,358) (345,358) USA (11459,11548) (5345,5434) (5348,5437) [1.4] Writing region graphs. AB (218,214) (92,88) (92,88) AK (220,219) (30,29) (30,29) AL (61,59) (11,9) (11,9) AR (67,67) (22,22) (22,22) ARG (956,953) (722,719) (722,719) AUS-ACT (14,13) (14,13) (14,13) AUS-NSW (897,914) (466,483) (466,483) AUS-QLD (613,614) (243,244) (243,244) AUS-SA (133,132) (127,126) (127,126) AUS-VIC (1285,1369) (1143,1227) (1143,1227) AUS-WA (220,220) (121,121) (121,121) AUT (1781,1902) (1465,1586) (1466,1587) AZ (252,250) (90,88) (90,88) BC (624,619) (128,123) (128,123) BEL (1780,1934) (1420,1574) (1420,1574) 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 (269,269) (198,198) (198,198) 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 (1627,1633) (774,780) (774,780) CHE (2112,2232) (1749,1869) (1750,1870) CHL (414,420) (265,271) (265,271) CHN-AH (29,28) (6,5) (6,5) CHN-BJ (50,48) (4,2) (4,2) CHN-GD (1967,2053) (711,797) (711,797) CHN-HA (106,105) (11,10) (11,10) CHN-HB (61,60) (7,6) (7,6) CHN-HE (101,98) (17,14) (17,14) CHN-HN (78,77) (10,9) (10,9) CHN-JS (87,85) (12,10) (12,10) CHN-SD (78,77) (8,7) (8,7) CHN-SH (11,10) (2,1) (2,1) CHN-TJ (22,22) (6,6) (6,6) CO (400,386) (141,127) (141,127) COL (43,42) (35,34) (35,34) CT (136,134) (68,66) (68,66) CZE (3138,3296) (2479,2637) (2479,2637) DC (69,71) (63,65) (63,65) DE (11,10) (6,5) (6,5) DEU-BB (315,299) (299,283) (299,283) DEU-BE (739,807) (718,786) (718,786) DEU-BW (1546,1584) (1381,1419) (1384,1422) DEU-BY (912,941) (833,862) (834,863) DEU-HB (213,218) (196,201) (197,202) DEU-HE (681,698) (615,632) (616,633) DEU-HH (176,183) (157,164) (157,164) DEU-MV (143,147) (129,133) (129,133) DEU-NI (511,511) (439,439) (440,440) DEU-NW (1809,1887) (1640,1718) (1646,1724) DEU-RP (238,235) (208,205) (210,207) DEU-SH (24,18) (24,18) (24,18) DEU-SL (47,45) (45,43) (45,43) DEU-SN (1022,1056) (921,955) (925,959) DEU-ST (486,496) (452,462) (456,466) DEU-TH (276,276) (264,264) (264,264) DNK (153,165) (132,144) (132,144) DOM (37,36) (33,32) (33,32) ECU (58,56) (40,38) (40,38) ENG (4612,4850) (3504,3742) (3504,3742) ESP-AN (313,313) (173,173) (175,175) ESP-AR (87,86) (34,33) (34,33) ESP-AS (294,299) (218,223) (218,223) ESP-CB (127,126) (87,86) (87,86) 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 (778,837) (500,559) (500,559) ESP-GA (67,66) (53,52) (53,52) ESP-IB (64,64) (53,53) (53,53) ESP-MC (73,70) (59,56) (59,56) ESP-MD (517,586) (390,459) (390,459) ESP-PV (320,323) (276,279) (276,279) ESP-VC (475,481) (324,330) (324,330) FL (244,245) (132,133) (132,133) FRA-ARA (526,541) (354,369) (354,369) FRA-BFC (176,176) (85,85) (85,85) FRA-BRE (211,208) (80,77) (80,77) FRA-CVL (160,158) (110,108) (110,108) FRA-GES (436,437) (212,213) (212,213) FRA-HDF (787,814) (549,576) (549,576) FRA-IDF (1212,1372) (1036,1196) (1037,1197) FRA-NAQ (915,935) (494,514) (494,514) FRA-NOR (171,166) (113,108) (113,108) FRA-OCC (310,313) (190,193) (190,193) FRA-PAC (333,334) (191,192) (191,192) FRA-PDL (312,314) (195,197) (195,197) GA (166,164) (64,62) (64,62) GGY (3,2) (3,2) (3,2) GRC (332,344) (245,257) (245,257) HI (9,8) (9,8) (9,8) HKG (583,612) (276,305) (276,305) HRV (126,133) (125,132) (125,132) 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 (453,457) (233,237) (233,237) ITA-CAM (318,335) (272,289) (272,289) ITA-EMI (108,107) (86,85) (86,85) ITA-FRI (13,12) (13,12) (13,12) ITA-LAZ (457,471) (367,381) (367,381) ITA-LIG (103,103) (79,79) (79,79) ITA-LOM (691,766) (619,694) (619,694) ITA-PIE (355,375) (319,339) (319,339) 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 (44,41) (43,40) (43,40) ITA-TRE (5,3) (5,3) (5,3) ITA-UMB (7,6) (7,6) (7,6) ITA-VEN (64,62) (62,60) (62,60) JPN (11013,11416) (9086,9489) (9086,9489) KOR (2225,2321) (674,770) (674,770) KS (83,82) (9,8) (9,8) KY (55,53) (9,7) (9,7) LA (161,159) (113,111) (113,111) LIE (5,4) (5,4) (5,4) LUX (126,126) (95,95) (95,95) MA (477,490) (289,302) (289,302) MAC (23,22) (12,11) (12,11) MB (290,289) (94,93) (94,93) MCO (3,2) (3,2) (3,2) MD (220,215) (125,120) (125,120) ME (19,19) (8,8) (8,8) MEX-CAM (43,42) (10,9) (10,9) MEX-CHIH (130,129) (19,18) (19,18) MEX-CHIS (7,6) (2,1) (2,1) 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-OAX (32,31) (7,6) (7,6) MEX-QROO (16,15) (7,6) (7,6) MEX-SIN (30,29) (7,6) (7,6) MEX-TAB (13,12) (5,4) (5,4) MEX-VER (27,26) (5,4) (5,4) MEX-YUC (28,27) (9,8) (9,8) MI (143,141) (56,54) (56,54) MN (150,147) (58,55) (58,55) MO (213,212) (66,65) (66,65) MS (96,94) (18,16) (18,16) MT (178,175) (19,16) (19,16) MYS (254,271) (191,208) (191,208) NB (56,55) (11,10) (11,10) NC (167,166) (65,64) (65,64) ND (70,69) (9,8) (9,8) NE (77,76) (9,8) (9,8) NH (16,14) (8,6) (8,6) NIR (111,109) (66,64) (66,64) NJ (368,373) (254,259) (255,260) NL (59,58) (17,16) (17,16) NLD (1074,1150) (934,1010) (934,1010) NM (167,160) (41,34) (41,34) NOR (884,901) (478,495) (478,495) NS (51,50) (5,4) (5,4) NV (171,165) (26,20) (26,20) NY (1059,1103) (798,842) (798,842) NZL (142,141) (102,101) (102,101) OH (172,170) (84,82) (84,82) OK (59,59) (29,29) (29,29) ON (1174,1201) (551,578) (551,578) OR (295,295) (162,162) (163,163) PA (797,804) (587,594) (587,594) PAN (39,38) (31,30) (31,30) PER (42,40) (31,29) (31,29) PRT (467,483) (441,457) (441,457) PR (16,15) (16,15) (16,15) POL (2677,2838) (2450,2611) (2450,2611) PRY (2,1) (2,1) (2,1) QC (623,622) (260,259) (261,260) RI (22,21) (9,8) (9,8) ROU (340,367) (331,358) (331,358) SC (111,108) (17,14) (17,14) SCT (880,897) (484,501) (484,501) SD (11,10) (3,2) (3,2) SGP (191,218) (186,213) (186,213) SK (111,109) (18,16) (18,16) SRB (89,92) (85,88) (85,88) SVK (227,233) (195,201) (195,201) THA (431,431) (185,185) (185,185) SWE (460,481) (417,438) (418,439) TN (62,58) (28,24) (28,24) TUR (305,304) (291,290) (291,290) TWN (562,568) (180,186) (180,186) TX (603,602) (248,247) (248,247) URY (36,35) (22,21) (22,21) UT (241,237) (89,85) (89,85) VA (265,267) (96,98) (96,98) VT (89,87) (20,18) (20,18) WA (435,429) (96,90) (96,90) WI (96,94) (45,43) (45,43) WLS (526,511) (362,347) (362,347) WV (154,149) (28,23) (28,23) YT (9,8) (4,3) (4,3) ! [1.9] Clearing HighwayGraph contents from memory. [1.9] Pause writing database file TravelMappingRail-2024-09-17@22:47:42.sql. [1.9] Resume writing database file TravelMappingRail-2024-09-17@22:47:42.sql. [1.9] Processed 698 highway systems. Processed 5675 routes with a total of 160415 points and 154740 segments. [1.9] WaypointQuadtree contains 7745 total nodes. [1.9] Computing waypoint colocation stats. Waypoint colocation counts: 51123 are each occupied by 1 waypoints. 16322 are each occupied by 2 waypoints. 7196 are each occupied by 3 waypoints. 3521 are each occupied by 4 waypoints. 1801 are each occupied by 5 waypoints. 1030 are each occupied by 6 waypoints. 724 are each occupied by 7 waypoints. 486 are each occupied by 8 waypoints. 313 are each occupied by 9 waypoints. 174 are each occupied by 10 waypoints. 164 are each occupied by 11 waypoints. 120 are each occupied by 12 waypoints. 130 are each occupied by 13 waypoints. 75 are each occupied by 14 waypoints. 74 are each occupied by 15 waypoints. 52 are each occupied by 16 waypoints. 58 are each occupied by 17 waypoints. 29 are each occupied by 18 waypoints. 13 are each occupied by 19 waypoints. 22 are each occupied by 20 waypoints. 7 are each occupied by 21 waypoints. 18 are each occupied by 22 waypoints. 10 are each occupied by 23 waypoints. 7 are each occupied by 24 waypoints. 5 are each occupied by 25 waypoints. 7 are each occupied by 26 waypoints. 1 are each occupied by 27 waypoints. 3 are each occupied by 28 waypoints. 6 are each occupied by 29 waypoints. 6 are each occupied by 30 waypoints. 2 are each occupied by 31 waypoints. 2 are each occupied by 32 waypoints. 1 are each occupied by 33 waypoints. 4 are each occupied by 34 waypoints. 1 are each occupied by 35 waypoints. 2 are each occupied by 36 waypoints. 0 are each occupied by 37 waypoints. 0 are each occupied by 38 waypoints. 0 are each occupied by 39 waypoints. 0 are each occupied by 40 waypoints. 0 are each occupied by 41 waypoints. 1 are each occupied by 42 waypoints. Unique locations: 83510 Finish: Tue Sep 17 22:47:45 2024 Total run time: [2.0]