{"id":"https://openalex.org/W3005022906","doi":"https://doi.org/10.1109/access.2020.2972299","title":"Abnormal Trajectory Detection Based on a Sparse Subgraph","display_name":"Abnormal Trajectory Detection Based on a Sparse Subgraph","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3005022906","doi":"https://doi.org/10.1109/access.2020.2972299","mag":"3005022906"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2972299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2972299","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.2972299","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102974044","display_name":"Xujun Zhao","orcid":"https://orcid.org/0000-0003-4246-4383"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xujun Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-4246-4383","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069144222","display_name":"Yuanqi Rao","orcid":"https://orcid.org/0000-0002-3237-3472"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqi Rao","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3237-3472","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000366852","display_name":"Jianghui Cai","orcid":"https://orcid.org/0000-0001-6945-8093"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianghui Cai","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6945-8093","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056945331","display_name":"Wenqiang Ma","orcid":"https://orcid.org/0000-0003-2781-5691"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Ma","raw_affiliation_strings":["School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0003-2781-5691","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46305995"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.167,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89924936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"29987","last_page":"30000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9947999715805054,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8628653287887573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6280026435852051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125937700271606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5482698678970337},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5427191257476807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5359519124031067},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5010180473327637},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4411528706550598},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34740114212036133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3348349332809448},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1272113025188446}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8628653287887573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6280026435852051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125937700271606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5482698678970337},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5427191257476807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5359519124031067},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5010180473327637},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4411528706550598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34740114212036133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3348349332809448},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1272113025188446},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2972299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2972299","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:03f5f5408ecd422bbf6d15c58060eb6e","is_oa":true,"landing_page_url":"https://doaj.org/article/03f5f5408ecd422bbf6d15c58060eb6e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 29987-30000 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2972299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2972299","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G1605220651","display_name":null,"funder_award_id":"201901D111257","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G1802674413","display_name":null,"funder_award_id":"U1731126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3347073512","display_name":null,"funder_award_id":"61572343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6445248798","display_name":null,"funder_award_id":"U1931209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1491276207","https://openalex.org/W1520803470","https://openalex.org/W1968701380","https://openalex.org/W1981398125","https://openalex.org/W2046466133","https://openalex.org/W2048389468","https://openalex.org/W2049626361","https://openalex.org/W2061240327","https://openalex.org/W2085269948","https://openalex.org/W2092144265","https://openalex.org/W2110413449","https://openalex.org/W2124135342","https://openalex.org/W2125734176","https://openalex.org/W2162915993","https://openalex.org/W2168561568","https://openalex.org/W2189007323","https://openalex.org/W2293117569","https://openalex.org/W2339065330","https://openalex.org/W2483124629","https://openalex.org/W2514056879","https://openalex.org/W2559919778","https://openalex.org/W2593239008","https://openalex.org/W2609535044","https://openalex.org/W2752404600","https://openalex.org/W2766382480","https://openalex.org/W2776279030","https://openalex.org/W2890400562","https://openalex.org/W2910271048","https://openalex.org/W2930504712","https://openalex.org/W2950577166","https://openalex.org/W2959937444","https://openalex.org/W2963144092","https://openalex.org/W2966587580","https://openalex.org/W3100523670","https://openalex.org/W6687423640"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W2358868262","https://openalex.org/W4292523377"],"abstract_inverted_index":{"Traditional":[0],"abnormal":[1,20,32,45,57,184],"trajectory":[2,21,33,36,46,58,80,104,118,146,160,205],"detection":[3,47],"algorithms":[4],"mainly":[5],"involve":[6],"the":[7,14,26,31,35,55,72,83,90,115,125,138,151,159,203,211,216],"measurement":[8],"of":[9,16,79,89,94,99,117,166,207,218],"a":[10,61,109,132,145,164,170,178,187],"single":[11],"feature;":[12],"however,":[13],"influence":[15],"other":[17],"features":[18],"on":[19],"is":[22,192],"ignored,":[23],"resulting":[24],"in":[25,34],"inability":[27],"to":[28,53,70,113,124,136,182,194],"fully":[29],"discover":[30],"database.":[37],"To":[38],"overcome":[39],"this":[40],"limitation,":[41],"we":[42,65,107,121,143,176],"propose":[43,108,177],"an":[44],"method":[48,181],"-":[49,52],"called":[50],"TADSS":[51],"find":[54],"hidden":[56],"by":[59,149,168,201],"using":[60,150,169],"comprehensive":[62],"measurement.":[63],"Firstly,":[64],"employ":[66],"three":[67],"kernel":[68,84,127,140,154],"functions":[69,85,128],"measure":[71,114],"time,":[73],"velocity":[74,97],"and":[75,96,129,156,210],"position":[76],"feature":[77,88,93,98,110,147,161],"values":[78],"data,":[81,119],"where":[82,120,186],"extract":[86],"semantic":[87],"position,":[91],"time":[92],"trajectory,":[95,185],"object":[100],"motion":[101],"from":[102],"each":[103],"data.":[105],"Secondly,":[106],"fusion":[111],"strategy":[112],"similarity":[116],"assign":[122],"weights":[123],"above":[126,152],"then":[130,157],"use":[131],"linear":[133],"combination":[134],"approach":[135],"fuse":[137],"weighted":[139],"functions.":[141],"Thirdly,":[142],"build":[144],"graph":[148,162,172],"fused":[153],"functions,":[155],"divide":[158],"into":[163],"plurality":[165],"subgraphs":[167],"conventional":[171],"clustering":[173],"technique.":[174],"Last,":[175],"sparse":[179,196],"subgraph":[180],"detect":[183],"novel":[188],"weight":[189],"coefficient":[190],"concept":[191],"used":[193],"distinguish":[195],"subgraph.":[197],"Experimental":[198],"results":[199],"driven":[200],"both":[202],"vehicle":[204],"data":[206,214],"Shanghai":[208],"city":[209],"Atlantic":[212],"hurricane":[213],"demonstrate":[215],"performance":[217],"our":[219],"TADSS.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}