{"id":"https://openalex.org/W2900556256","doi":"https://doi.org/10.1109/ipin.2018.8533726","title":"Geometric Constraint Model and Mobility Graphs for Building Utilization Intelligence","display_name":"Geometric Constraint Model and Mobility Graphs for Building Utilization Intelligence","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2900556256","doi":"https://doi.org/10.1109/ipin.2018.8533726","mag":"2900556256"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2018.8533726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062388550","display_name":"T. Burgess","orcid":"https://orcid.org/0000-0002-6993-5918"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Burgess","raw_affiliation_strings":["Research Dept., GmbH, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Dept., GmbH, Vienna, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113755811","display_name":"Barbara Metzler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barbara Metzler","raw_affiliation_strings":["Research Dept., GmbH, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Dept., GmbH, Vienna, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039360930","display_name":"Andreas Ettlinger","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Ettlinger","raw_affiliation_strings":["Dept. of Geodesy and Geoinformation, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Geodesy and Geoinformation, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014964205","display_name":"Hans-Berndt Neuner","orcid":"https://orcid.org/0000-0002-2846-1402"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Hans-Berndt Neuner","raw_affiliation_strings":["Dept. of Geodesy and Geoinformation, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Geodesy and Geoinformation, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476321458816528},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6361094117164612},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.5909080505371094},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5253416895866394},{"id":"https://openalex.org/keywords/geodetic-datum","display_name":"Geodetic datum","score":0.5073093771934509},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4764462113380432},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4422948956489563},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.25194689631462097},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12442365288734436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476321458816528},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6361094117164612},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.5909080505371094},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5253416895866394},{"id":"https://openalex.org/C58754882","wikidata":"https://www.wikidata.org/wiki/Q1502887","display_name":"Geodetic datum","level":2,"score":0.5073093771934509},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4764462113380432},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4422948956489563},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25194689631462097},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12442365288734436},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin.2018.8533726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2018.8533726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1520256448","https://openalex.org/W1559632079","https://openalex.org/W1970238092","https://openalex.org/W1981398125","https://openalex.org/W1982300822","https://openalex.org/W1996902159","https://openalex.org/W2012084072","https://openalex.org/W2018752715","https://openalex.org/W2037064502","https://openalex.org/W2052531283","https://openalex.org/W2062672519","https://openalex.org/W2076448662","https://openalex.org/W2080113883","https://openalex.org/W2082729958","https://openalex.org/W2086961842","https://openalex.org/W2088352159","https://openalex.org/W2102861042","https://openalex.org/W2105103777","https://openalex.org/W2111619626","https://openalex.org/W2126194848","https://openalex.org/W2134295053","https://openalex.org/W2138970237","https://openalex.org/W2146867644","https://openalex.org/W2149059790","https://openalex.org/W2152670036","https://openalex.org/W2156385131","https://openalex.org/W2159584837","https://openalex.org/W2165232124","https://openalex.org/W2214650344","https://openalex.org/W2279025195","https://openalex.org/W2336558992","https://openalex.org/W2531361785","https://openalex.org/W2980916886"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2353618196","https://openalex.org/W2348074676","https://openalex.org/W2385033175","https://openalex.org/W2374043190","https://openalex.org/W2363298784","https://openalex.org/W2367402697"],"abstract_inverted_index":{"In":[0,182],"recent":[1],"years":[2],"the":[3,42,79,140,189,199,210,216,221,229,250],"availability":[4],"of":[5,45,81,96,108,177,231,252],"mobile":[6],"indoor":[7,103,190,239,262],"way":[8],"finding":[9],"technologies,":[10],"Internet-of-Things":[11],"sensor":[12,111,164],"infrastructures,":[13],"and":[14,84,113,157,174,186],"geographic":[15,114],"information":[16,115],"systems":[17,22],"has":[18],"dramatically":[19],"increased.":[20],"These":[21],"have":[23],"been":[24],"introduced":[25,128,223],"for":[26],"many":[27],"reasons,":[28],"such":[29,183],"as:":[30],"increasing":[31],"accessibility":[32],"to":[33,93,129,138,195,245,258],"users":[34],"with":[35,150],"reduced":[36],"mobility,":[37],"optimizing":[38],"logistics,":[39],"or":[40,68],"reducing":[41],"environmental":[43],"impact":[44],"facilities.":[46],"While":[47],"these":[48],"technologies":[49],"can":[50,237],"bring":[51,238],"some":[52],"new":[53,76],"insight":[54],"in":[55,65,209,215,224],"how":[56],"buildings":[57],"are":[58,73],"used,":[59],"they":[60,72],"all":[61],"suffer":[62],"from":[63,99,242],"limitations":[64],"coverage,":[66],"accuracy,":[67],"scalability.":[69],"However,":[70],"when":[71],"combined,":[74],"a":[75,117,123,144,158,175,184,204,207,243,246,255],"window":[77],"into":[78],"understanding":[80],"human":[82],"mobility":[83],"building":[85],"utilization":[86],"is":[87,127,193,212],"opened.":[88],"This":[89],"paper":[90,226],"introduces":[91],"methods":[92],"increase":[94],"accuracy":[95],"data":[97,264],"obtained":[98],"an":[100,153],"off-the-shelf":[101],"commercial":[102],"navigation":[104,191,263],"by":[105],"including":[106],"Internet":[107],"Things":[109],"(IoT)":[110],"infrastructure":[112],"through":[116],"Geometric":[118],"Constraint":[119],"Model":[120],"(GCM).":[121],"Furthermore,":[122,249],"Mobility":[124],"Graph":[125],"(MG)":[126],"visualize":[130],"trajectory":[131],"distributions.":[132],"A":[133],"simple":[134],"experiment":[135],"was":[136,148,168],"conducted":[137],"validate":[139],"methods.":[141],"For":[142],"this,":[143],"long":[145,185],"narrow":[146,187],"hall":[147],"equipped":[149],"iBeacon":[151],"infrastructure,":[152],"indoo.rs":[154],"Navigation":[155],"instance,":[156],"few":[159],"cheap":[160],"Raspberry":[161],"Pi":[162],"based":[163],"stations.":[165],"The":[166],"environment":[167,188,211],"mapped":[169],"using":[170,220],"state-of-art":[171],"geodetic":[172],"measurements,":[173],"set":[176],"recorded":[178],"experiments":[179],"were":[180],"made.":[181],"system":[192],"unable":[194],"resolve":[196],"features":[197],"along":[198],"short":[200],"traverse":[201],"axis.":[202],"Without":[203],"combined":[205],"analysis,":[206],"divider":[208],"not":[213],"discernible":[214],"MG,":[217],"while":[218],"results":[219],"GCM":[222],"this":[225,232,235],"clearly":[227],"indicate":[228],"presence":[230],"divider.":[233],"Automating":[234],"approach,":[236],"location":[240],"analytics":[241],"descriptive":[244],"prescriptive":[247],"regime.":[248],"application":[251],"MG":[253],"provide":[254],"useful":[256],"tool":[257],"better":[259],"understand":[260],"large":[261],"sets.":[265]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}