{"id":"https://openalex.org/W4409641824","doi":"https://doi.org/10.1109/tvt.2025.3562659","title":"Anomalous Trajectory Detection in Vehicular Social Networks With Unsupervised Dynamic Network Representation Learning","display_name":"Anomalous Trajectory Detection in Vehicular Social Networks With Unsupervised Dynamic Network Representation Learning","publication_year":2025,"publication_date":"2025-04-21","ids":{"openalex":"https://openalex.org/W4409641824","doi":"https://doi.org/10.1109/tvt.2025.3562659"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3562659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3562659","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5048752035","display_name":"Guojiang Shen","orcid":"https://orcid.org/0000-0003-1064-1250"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guojiang Shen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106627372","display_name":"Yuwei He","orcid":"https://orcid.org/0009-0005-9513-8823"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei He","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030323127","display_name":"Xiangjie Kong","orcid":"https://orcid.org/0000-0003-2698-3319"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjie Kong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088517244","display_name":"Zhanhao Ji","orcid":"https://orcid.org/0000-0003-1632-8740"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanhao Ji","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435858","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-1511-7266"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091736147","display_name":"Junjie Zhou","orcid":"https://orcid.org/0000-0001-7758-4807"},"institutions":[{"id":"https://openalex.org/I4210103320","display_name":"Supor (China)","ror":"https://ror.org/00whypb06","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103320"]},{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhou","raw_affiliation_strings":["Zhejiang Supcon Information Company Ltd., Hangzhou, China","Zhejiang Supcon Information Co., Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Supcon Information Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210103320"]},{"raw_affiliation_string":"Zhejiang Supcon Information Co., Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210108865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038829361","display_name":"Linglong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103320","display_name":"Supor (China)","ror":"https://ror.org/00whypb06","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103320"]},{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linglong Hu","raw_affiliation_strings":["Zhejiang Supcon Information Company Ltd., Hangzhou, China","Zhejiang Supcon Information Co., Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Supcon Information Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210103320"]},{"raw_affiliation_string":"Zhejiang Supcon Information Co., Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210108865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048752035"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":2.8599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90419837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"74","issue":"9","first_page":"14577","last_page":"14590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9962999820709229,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7160427570343018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6311585903167725},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5895123481750488},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5715769529342651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5245454907417297},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4382425546646118},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4134160876274109},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10492628812789917}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7160427570343018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6311585903167725},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5895123481750488},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5715769529342651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5245454907417297},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4382425546646118},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4134160876274109},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10492628812789917},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3562659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3562659","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1910515323","https://openalex.org/W1968701380","https://openalex.org/W1977431865","https://openalex.org/W2008857988","https://openalex.org/W2070232376","https://openalex.org/W2122111042","https://openalex.org/W2136975357","https://openalex.org/W2154851992","https://openalex.org/W2293117569","https://openalex.org/W2514056879","https://openalex.org/W2601893308","https://openalex.org/W2743812350","https://openalex.org/W2744312209","https://openalex.org/W2750332094","https://openalex.org/W2962756421","https://openalex.org/W2985260327","https://openalex.org/W3001750130","https://openalex.org/W3029191757","https://openalex.org/W3047449474","https://openalex.org/W3080763598","https://openalex.org/W3138639721","https://openalex.org/W3164264961","https://openalex.org/W3199436088","https://openalex.org/W3201339195","https://openalex.org/W3214753197","https://openalex.org/W4254182148","https://openalex.org/W4294170691","https://openalex.org/W4307704586","https://openalex.org/W4312055772","https://openalex.org/W4320472723","https://openalex.org/W4320481210","https://openalex.org/W4380635164","https://openalex.org/W4385270475","https://openalex.org/W4389667627","https://openalex.org/W4392901724","https://openalex.org/W4393285673"],"related_works":["https://openalex.org/W3174759195","https://openalex.org/W3196155444","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W4390062853","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W4297883248","https://openalex.org/W4255830763","https://openalex.org/W1583266947"],"abstract_inverted_index":{"As":[0],"data":[1],"volumes":[2],"surge,":[3],"the":[4,26,57,60,74,81,84,106,135],"automatic":[5],"detection":[6],"of":[7,29,76,83,137],"anomalous":[8],"trajectories":[9],"has":[10],"become":[11],"increasingly":[12],"difficult":[13],"in":[14,59],"real-":[15],"world":[16],"scenarios.":[17],"However,":[18],"most":[19],"existing":[20],"works":[21],"fail":[22],"to":[23,66,93,115,146],"account":[24],"for":[25,120],"spatial-temporal":[27],"properties":[28],"trajectory":[30,118],"simultaneously":[31],"and":[32,63,96,112,130,142],"rely":[33],"on":[34,101,126],"biased":[35],"real-world":[36,128],"or":[37],"synthetic":[38],"datasets.":[39],"To":[40],"tackle":[41],"these":[42],"challenges,":[43],"we":[44],"propose":[45],"a":[46,70],"novel":[47],"unsupervised":[48],"method,":[49],"Dynamic":[50],"Network":[51],"Representation":[52],"learning":[53,114],"(DNR),":[54],"that":[55],"leverages":[56],"advances":[58],"network":[61,72,107,110],"field":[62],"adapts":[64],"them":[65],"transportation.":[67],"DNR":[68,104,138],"constructs":[69],"dynamic":[71,88],"from":[73,149],"perspective":[75],"vehicle":[77],"social":[78],"networks":[79],"using":[80,108],"idea":[82],"k-nearest":[85],"neighbors.":[86],"A":[87],"walk":[89],"algorithm":[90],"is":[91],"proposed":[92],"sample":[94],"nodes":[95],"context":[97],"over":[98,139],"time,":[99],"focusing":[100],"topology":[102],"changes.":[103],"embeds":[105],"Skip-Gram":[109],"representation":[111],"incremental":[113],"obtain":[116],"two":[117,121],"embeddings":[119],"anomaly":[122],"types.":[123],"Our":[124],"experiments":[125],"four":[127],"datasets":[129,133],"eight":[131],"generative":[132],"demonstrate":[134],"effectiveness":[136],"other":[140],"methods":[141],"reveal":[143],"its":[144],"rationality":[145],"detect":[147],"deviations":[148],"typical":[150],"trajectories.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}