{"id":"https://openalex.org/W2787829455","doi":"https://doi.org/10.1109/pccc.2017.8280471","title":"A hierarchical-learning-based crowdedness estimation mechanism for crowdsensing buses","display_name":"A hierarchical-learning-based crowdedness estimation mechanism for crowdsensing buses","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787829455","doi":"https://doi.org/10.1109/pccc.2017.8280471","mag":"2787829455"},"language":"en","primary_location":{"id":"doi:10.1109/pccc.2017.8280471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2017.8280471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC)","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/A5057081298","display_name":"Xiaoguang Niu","orcid":"https://orcid.org/0000-0003-4252-3291"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210157323","display_name":"South China Institute of Collaborative Innovation","ror":"https://ror.org/04jnpk588","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210157323","https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Niu","raw_affiliation_strings":["Collaborative Innovation Center of Geospatial Technology, China","School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Geospatial Technology, China","institution_ids":["https://openalex.org/I4210157323"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670065","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-7821-2252"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090602149","display_name":"Qiongzan Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiongzan Ye","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594661","display_name":"Yihao Zhang","orcid":"https://orcid.org/0009-0008-6965-1975"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihao Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388796","display_name":"Jiawei Wang","orcid":"https://orcid.org/0000-0003-4752-5851"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1462,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55520128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"8"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708281934261322},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6862524151802063},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.6444774866104126},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6154377460479736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5999487042427063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5430078506469727},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5068424344062805},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4452197551727295},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3492530882358551},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3249092698097229},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1234966516494751}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708281934261322},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6862524151802063},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.6444774866104126},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6154377460479736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5999487042427063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5430078506469727},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5068424344062805},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4452197551727295},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3492530882358551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3249092698097229},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1234966516494751}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pccc.2017.8280471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pccc.2017.8280471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 36th International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W964554265","https://openalex.org/W1541992384","https://openalex.org/W1977093441","https://openalex.org/W1986553199","https://openalex.org/W1997396815","https://openalex.org/W1998124261","https://openalex.org/W2008311091","https://openalex.org/W2028292253","https://openalex.org/W2036549113","https://openalex.org/W2066435049","https://openalex.org/W2096229530","https://openalex.org/W2103151433","https://openalex.org/W2106126633","https://openalex.org/W2127095067","https://openalex.org/W2150123015","https://openalex.org/W2152770371","https://openalex.org/W2163036976","https://openalex.org/W2166315077","https://openalex.org/W2382680434","https://openalex.org/W2438328984","https://openalex.org/W2516360951","https://openalex.org/W2584274610","https://openalex.org/W2962915373","https://openalex.org/W2963274387","https://openalex.org/W4285719527","https://openalex.org/W6625261216"],"related_works":["https://openalex.org/W2563347706","https://openalex.org/W2608033733","https://openalex.org/W4287604253","https://openalex.org/W1894261276","https://openalex.org/W2295662171","https://openalex.org/W2168877220","https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W4381785531","https://openalex.org/W4360776667"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"how":[3],"to":[4,21,64],"estimate":[5],"the":[6,16,23,27,30,34,44,47,66,86,100,124,128,134,140],"crowdedness":[7,24,59,67,108,125,136],"level":[8,68],"for":[9,39],"crowdsensing":[10,40,71],"buses.":[11],"Passengers'":[12],"moving":[13],"trajectories":[14],"at":[15,152],"bus":[17],"stops":[18],"are":[19,103],"able":[20],"reflect":[22],"situation":[25],"of":[26,33,46,69,79,127],"bus.":[28,72],"And":[29],"high":[31],"accuracy":[32],"existing":[35],"posture":[36],"recognition":[37],"methods":[38],"applications":[41],"can":[42,94,130,150],"ensure":[43],"reliability":[45],"passenger":[48,82],"motion":[49,74],"monitoring.":[50],"Based":[51],"on":[52,111],"these":[53],"observations,":[54],"we":[55],"propose":[56],"a":[57,70,80],"hierarchical-learning-based":[58],"estimation":[60],"mechanism,":[61],"namely":[62],"HCE,":[63],"obtain":[65],"The":[73,143],"sequence":[75],"and":[76,93,118],"gait":[77],"information":[78],"participatory":[81],"is":[83],"obtained":[84],"via":[85],"sensing":[87],"data":[88],"from":[89,138],"sensors":[90],"in":[91],"smartphones":[92],"be":[95,131],"expressed":[96],"by":[97,133],"eigenvectors.":[98],"Then":[99],"feature":[101],"vectors":[102],"classified":[104],"as":[105],"different":[106],"individual":[107,141],"levels":[109,126,137],"based":[110],"hierarchical":[112],"support":[113],"vector":[114],"machine":[115],"(SVM)":[116],"classifier":[117],"hidden":[119],"markov":[120],"model":[121],"(HMM).":[122],"Finally":[123],"buses":[129],"reckoned":[132],"estimated":[135],"all":[139],"passengers.":[142],"experimental":[144],"results":[145],"show":[146],"that":[147],"our":[148],"mechanism":[149],"achieve":[151],"least":[153],"83%":[154],"accuracy.":[155]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}