{"id":"https://openalex.org/W2050672002","doi":"https://doi.org/10.1145/2632048.2636062","title":"Car-level congestion and position estimation for railway trips using mobile phones","display_name":"Car-level congestion and position estimation for railway trips using mobile phones","publication_year":2014,"publication_date":"2014-09-13","ids":{"openalex":"https://openalex.org/W2050672002","doi":"https://doi.org/10.1145/2632048.2636062","mag":"2050672002"},"language":"en","primary_location":{"id":"doi:10.1145/2632048.2636062","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632048.2636062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","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/A5008153775","display_name":"Yuki Maekawa","orcid":"https://orcid.org/0000-0002-0013-2084"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Maekawa","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan","Osaka University, Suita, OSAKA, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Osaka University, Suita, OSAKA, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001032272","display_name":"Akira Uchiyama","orcid":"https://orcid.org/0000-0001-7563-6191"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Uchiyama","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan","Osaka University, Suita, OSAKA, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Osaka University, Suita, OSAKA, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084448172","display_name":"Hirozumi Yamaguchi","orcid":"https://orcid.org/0000-0003-2273-4876"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirozumi Yamaguchi","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan","Osaka University, Suita, OSAKA, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Osaka University, Suita, OSAKA, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082680857","display_name":"Teruo Higashino","orcid":"https://orcid.org/0000-0001-5685-0424"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teruo Higashino","raw_affiliation_strings":["Osaka University, Suita, Osaka, Japan","Osaka University, Suita, OSAKA, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Osaka University, Suita, OSAKA, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008153775"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":1.884,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87425255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"939","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12801","display_name":"Bluetooth and Wireless Communication Technologies","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bluetooth","display_name":"Bluetooth","score":0.8059463500976562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6663606762886047},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6390304565429688},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5693979263305664},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5568201541900635},{"id":"https://openalex.org/keywords/doors","display_name":"Doors","score":0.526228666305542},{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.5072619318962097},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3639022707939148},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3443450331687927},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2598874568939209},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19596540927886963},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14423862099647522},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.13232049345970154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09176871180534363},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08798596262931824}],"concepts":[{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.8059463500976562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6663606762886047},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6390304565429688},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5693979263305664},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5568201541900635},{"id":"https://openalex.org/C125209513","wikidata":"https://www.wikidata.org/wiki/Q4037520","display_name":"Doors","level":2,"score":0.526228666305542},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.5072619318962097},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3639022707939148},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3443450331687927},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2598874568939209},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19596540927886963},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14423862099647522},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.13232049345970154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09176871180534363},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08798596262931824},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2632048.2636062","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632048.2636062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4978815587","display_name":null,"funder_award_id":"26700006","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G546953291","display_name":null,"funder_award_id":"FY2012 - FY2016","funder_id":"https://openalex.org/F4320319958","funder_display_name":"Canadian Pain Society"}],"funders":[{"id":"https://openalex.org/F4320319958","display_name":"Canadian Pain Society","ror":"https://ror.org/05f73a827"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W61383930","https://openalex.org/W1492187049","https://openalex.org/W1532325895","https://openalex.org/W1964615771","https://openalex.org/W1965308036","https://openalex.org/W1970063317","https://openalex.org/W1977093441","https://openalex.org/W2011579987","https://openalex.org/W2035136797","https://openalex.org/W2044900827","https://openalex.org/W2051376734","https://openalex.org/W2054602086","https://openalex.org/W2081525165","https://openalex.org/W2097531960","https://openalex.org/W2098434319","https://openalex.org/W2100045669","https://openalex.org/W2105308437","https://openalex.org/W2110991980","https://openalex.org/W2120453111","https://openalex.org/W2122733611","https://openalex.org/W2129912474","https://openalex.org/W2136317921","https://openalex.org/W2137809546","https://openalex.org/W2142362566","https://openalex.org/W2146881125","https://openalex.org/W2154711971","https://openalex.org/W2155861586","https://openalex.org/W2158634074","https://openalex.org/W2163004129","https://openalex.org/W2170229019","https://openalex.org/W2170240475","https://openalex.org/W2171128079","https://openalex.org/W2172211955","https://openalex.org/W2469737288"],"related_works":["https://openalex.org/W3016239942","https://openalex.org/W2486091485","https://openalex.org/W4293365988","https://openalex.org/W2374188760","https://openalex.org/W2997934945","https://openalex.org/W2468876127","https://openalex.org/W4205206412","https://openalex.org/W2885750329","https://openalex.org/W2487340859","https://openalex.org/W2797842516"],"abstract_inverted_index":{"We":[0,35],"propose":[1],"a":[2,20,69,110],"method":[3],"to":[4,30,42,76],"estimate":[5,119,130],"car-level":[6,24,32,87,98],"train":[7,33,99,131],"congestion":[8,83,100,132],"using":[9],"Bluetooth":[10,38,56],"RSSI":[11],"observed":[12],"by":[13],"passengers'":[14,43,92],"mobile":[15],"phones.":[16],"Our":[17],"approach":[18],"employs":[19],"two-stage":[21],"algorithm":[22,65,117],"where":[23],"location":[25,121],"of":[26,53,79,106,122],"passengers":[27,81,124],"is":[28,66,74],"estimated":[29],"infer":[31],"congestion.":[34],"have":[36,114],"learned":[37],"signals":[39],"attenuate":[40],"due":[41],"bodies,":[44],"distance":[45],"and":[46,73,82,97,128],"doors":[47],"between":[48],"cars":[49],"through":[50],"the":[51,77,116,120],"analysis":[52],"over":[54],"50,000":[55],"real":[57],"samples.":[58],"Based":[59],"on":[60],"this":[61],"prior":[62],"knowledge,":[63],"our":[64],"designed":[67],"as":[68],"Bayesian-based":[70],"likelihood":[71],"estimator,":[72],"robust":[75],"change":[78],"both":[80],"at":[84],"stations.":[85],"The":[86],"positions":[88],"are":[89],"useful":[90],"for":[91],"personal":[93],"navigation":[94],"inside":[95],"stations":[96],"information":[101],"helps":[102],"determine":[103],"better":[104],"strategies":[105],"taking":[107],"trains.":[108],"Through":[109],"field":[111],"experiment,":[112],"we":[113],"confirmed":[115],"can":[118],"16":[123],"with":[125,133],"83%":[126],"accuracy":[127],"also":[129],"0.82":[134],"F-measure":[135],"value":[136],"in":[137],"average.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
