{"id":"https://openalex.org/W3199628157","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534341","title":"Vehicle Trajectory Clustering in Urban Road Network Environment Based on Doc2Vec Model","display_name":"Vehicle Trajectory Clustering in Urban Road Network Environment Based on Doc2Vec Model","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199628157","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534341","mag":"3199628157"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5077919930","display_name":"Jun Kang","orcid":"https://orcid.org/0000-0002-1797-4878"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Kang","raw_affiliation_strings":["Institute of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029408464","display_name":"Haosen Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haosen Ma","raw_affiliation_strings":["Institute of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058411526","display_name":"Zongtao Duan","orcid":"https://orcid.org/0000-0002-9920-7751"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongtao Duan","raw_affiliation_strings":["Institute of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039564304","display_name":"Haojian He","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojian He","raw_affiliation_strings":["Institute of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077919930"],"corresponding_institution_ids":["https://openalex.org/I25355098","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.9234,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74645997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9979000091552734,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8447490334510803},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8328027129173279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686863362789154},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.5503248572349548},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5348336696624756},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5081651210784912},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4131855368614197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4085419774055481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33460450172424316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10535919666290283}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8447490334510803},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8328027129173279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686863362789154},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.5503248572349548},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5348336696624756},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5081651210784912},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4131855368614197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4085419774055481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33460450172424316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10535919666290283},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1981398125","https://openalex.org/W2131744502","https://openalex.org/W2134268609","https://openalex.org/W2187935563","https://openalex.org/W2315883997","https://openalex.org/W2322990480","https://openalex.org/W2386346454","https://openalex.org/W2805388899","https://openalex.org/W2899926324","https://openalex.org/W2964068664","https://openalex.org/W2982076623","https://openalex.org/W3037391053","https://openalex.org/W3040700157","https://openalex.org/W6679775712","https://openalex.org/W6779659374"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2001760863","https://openalex.org/W2138181839"],"abstract_inverted_index":{"Trajectory":[0],"clustering":[1,35,62,70,201,230,246],"is":[2,23,180],"an":[3],"important":[4],"task":[5],"in":[6,36,53,74,111,133,165,214],"trajectory":[7,12,34,58,93,114,136,211,234],"data":[8,94,115,212],"mining.":[9],"Grouping":[10],"a":[11,37,67,82,206,215],"dataset":[13],"into":[14,99,153],"clusters":[15],"based":[16,80,208,232],"on":[17,81,209,233],"the":[18,27,31,43,55,75,87,105,112,119,124,134,147,162,168,183,190,193,199,222,228,238,245],"similarity":[19,172],"between":[20,57,173,192],"vehicle":[21,71,184],"trajectories":[22],"conducive":[24],"to":[25,189,227],"revealing":[26],"movement":[28],"pattern":[29],"of":[30,95,131,171,177,205,251],"vehicles.":[32],"For":[33],"real":[38,216],"urban":[39,76,106,217],"road":[40,77,100,107,141,148,218],"network":[41,78,219],"environment,":[42],"existing":[44],"methods":[45,231],"have":[46],"some":[47],"deficiencies,":[48],"including":[49],"high":[50],"time":[51,127,247],"complexity":[52],"measuring":[54],"distance":[56],"sequences":[59,102,150],"and":[60,128,143,243],"poor":[61],"performance.":[63],"This":[64],"paper":[65],"proposes":[66],"method":[68,224],"for":[69],"traj":[72,154,174,194],"ectories":[73],"environment":[79],"word":[83],"vector":[84],"model.":[85],"First,":[86],"original":[88,135],"Global":[89],"Positioning":[90],"System":[91],"(GPS)":[92],"vehicles":[96,132],"are":[97,138,151,186],"converted":[98,152],"segment":[101,108,149,156,196],"by":[103,140,241,248],"using":[104,161,198],"information":[109],"contained":[110],"GPS":[113],"(after":[116],"map-matching).":[117],"Then,":[118],"spatial":[120],"properties,":[121],"such":[122],"as":[123],"geographical":[125],"location,":[126],"moving":[129],"direction":[130],"sequence,":[137],"expressed":[139],"segments":[142,176],"their":[144],"order.":[145],"Next,":[146],"ectory":[155,175,195],"eigenvectors":[157,197],"with":[158],"fixed":[159],"dimensions":[160],"doc2vec":[163],"model,":[164],"this":[166],"way,":[167],"calculation":[169],"efficiency":[170],"different":[178],"lengths":[179],"improved.":[181],"Finally,":[182],"tracks":[185],"clustered":[187],"according":[188],"distances":[191],"hierarchical":[200],"method.":[202],"The":[203],"result":[204],"simulation":[207],"taxi":[210],"gathered":[213],"shows":[220],"that":[221],"proposed":[223],"was":[225],"superior":[226],"traditional":[229],"space-time":[235],"distance,":[236],"improving":[237],"silhouette":[239],"index":[240],"10%-25%,":[242],"reducing":[244],"two":[249],"orders":[250],"magnitude.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-24T05:59:24.953642","created_date":"2025-10-10T00:00:00"}