{"id":"https://openalex.org/W3157846425","doi":"https://doi.org/10.1155/2021/9961428","title":"[Retracted] Anomaly Detection of Highway Vehicle Trajectory under the Internet of Things Converged with 5G Technology","display_name":"[Retracted] Anomaly Detection of Highway Vehicle Trajectory under the Internet of Things Converged with 5G Technology","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3157846425","doi":"https://doi.org/10.1155/2021/9961428","mag":"3157846425"},"language":"en","primary_location":{"id":"doi:10.1155/2021/9961428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9961428","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9961428.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/9961428.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048762533","display_name":"Deng Ke-tao","orcid":"https://orcid.org/0000-0002-6035-8069"},"institutions":[{"id":"https://openalex.org/I4210152160","display_name":"Zhengzhou Railway Vocational & Technical College","ror":"https://ror.org/04zs83x19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ketao Deng","raw_affiliation_strings":["Department of Rail Transit Safety and Security, Railway Police College, Zhengzhou, Henan 450053, China"],"affiliations":[{"raw_affiliation_string":"Department of Rail Transit Safety and Security, Railway Police College, Zhengzhou, Henan 450053, China","institution_ids":["https://openalex.org/I4210152160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048762533"],"corresponding_institution_ids":["https://openalex.org/I4210152160"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":1.2032,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78195112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.996999979019165,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.996999979019165,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9912999868392944,"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":0.8697210550308228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118076086044312},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5897149443626404},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5486127734184265},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.5426266193389893},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.46961432695388794},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4518076181411743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2050895094871521},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18417009711265564},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.16128063201904297}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8697210550308228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118076086044312},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5897149443626404},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5486127734184265},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.5426266193389893},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.46961432695388794},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4518076181411743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2050895094871521},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18417009711265564},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.16128063201904297},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/9961428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9961428","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9961428.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7257cbc9ed9c4670b236baa2f8fd483b","is_oa":true,"landing_page_url":"https://doaj.org/article/7257cbc9ed9c4670b236baa2f8fd483b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/9961428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9961428","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/9961428.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157846425.pdf","grobid_xml":"https://content.openalex.org/works/W3157846425.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W306989095","https://openalex.org/W1529653385","https://openalex.org/W1977392656","https://openalex.org/W1995151908","https://openalex.org/W1999432478","https://openalex.org/W2070439088","https://openalex.org/W2093855404","https://openalex.org/W2095356712","https://openalex.org/W2111017204","https://openalex.org/W2114608211","https://openalex.org/W2126194848","https://openalex.org/W2136492715","https://openalex.org/W2145286644","https://openalex.org/W2204739923","https://openalex.org/W2305409997","https://openalex.org/W2532223440","https://openalex.org/W2535805784","https://openalex.org/W2550839948","https://openalex.org/W2743812350","https://openalex.org/W2795137264","https://openalex.org/W2802287470","https://openalex.org/W2804158892","https://openalex.org/W2899069837","https://openalex.org/W3015154744","https://openalex.org/W3017861887","https://openalex.org/W3037389365","https://openalex.org/W3048008766","https://openalex.org/W3123691999","https://openalex.org/W3123888838","https://openalex.org/W3124035017","https://openalex.org/W3125915499","https://openalex.org/W3213390689","https://openalex.org/W4212962367"],"related_works":["https://openalex.org/W3011975694","https://openalex.org/W3149198594","https://openalex.org/W262982000","https://openalex.org/W4210926302","https://openalex.org/W3160711186","https://openalex.org/W2971083806","https://openalex.org/W2902127828","https://openalex.org/W1979258994","https://openalex.org/W820986941","https://openalex.org/W2207445159"],"abstract_inverted_index":{"The":[0,60,99,204],"gradual":[1],"increase":[2,91],"in":[3,34,92,252,331],"the":[4,13,75,78,93,106,134,148,151,168,171,184,192,211,223,237,241,246,250,261,264,267,270,273,285,292,298,302,304,309,313,316,325,329,332],"density":[5],"of":[6,17,62,70,77,80,95,101,108,136,150,153,162,170,173,233,240,249,255,266,295,301,308,315,318,328],"highway":[7,144,163],"vehicles":[8,18,33],"and":[9,31,48,51,83,124,126,140,189,209,215,231,245,269,279,320],"traffic":[10,24,333],"flow":[11,46],"makes":[12],"abnormal":[14,63,115,288,305,326],"driving":[15,194,238,299],"state":[16,196],"an":[19,67],"indispensable":[20],"tool":[21],"for":[22],"assisting":[23],"dispatch.":[25],"Intelligent":[26],"transportation":[27],"systems":[28],"can":[29,322],"detect":[30,324],"track":[32],"real":[35],"time,":[36],"acquire":[37],"characteristics":[38,248],"such":[39,56],"as":[40,57],"vehicle":[41,43,45,49,58,64,71,114,164,193,224,235,242,251,268,274,286,310,330],"traffic,":[42],"speed,":[44],"density,":[47],"trajectory,":[50],"further":[52],"perform":[53],"advanced":[54],"tasks":[55],"trajectory.":[59,289],"detection":[61,117,161,214,230,307],"trajectory":[65,72,116,165,195,225,239,265,275,306,327],"is":[66,131,176,197,207,243,277,282],"important":[68],"content":[69],"understanding.":[73],"And":[74],"development":[76],"Internet":[79,152,172,317],"Things":[81,154,174,319],"(IoT)":[82],"5G":[84,109,155,175,321],"technology":[85,111],"has":[86,120,287],"led":[87],"to":[88,221,260],"a":[89,113,158],"continuous":[90],"rate":[94],"data":[96],"information":[97],"circulation.":[98],"\u201cInternet":[100],"Vehicles\u201d":[102],"generated":[103],"based":[104,166,311],"on":[105,147,167,312],"practice":[107],"communication":[110,156],"constitutes":[112],"system,":[118],"which":[119],"very":[121],"high":[122],"feasibility":[123],"safety":[125],"stability.":[127],"Therefore,":[128],"this":[129],"research":[130],"aimed":[132],"at":[133,183],"needs":[135],"preventing":[137],"major":[138],"accidents":[139],"forensic":[141],"analysis":[142,276],"during":[143],"vehicles.":[145],"Based":[146],"integration":[149,169,314],"technology,":[157],"trajectorial":[159],"anomaly":[160],"proposed.":[177],"By":[178],"accurately":[179],"sensing":[180],"unsafe":[181],"events":[182],"perception":[185],"layer,":[186,188,191],"network":[187],"application":[190],"divided":[198],"into":[199],"several":[200],"simple":[201],"semantic":[202,205],"representations.":[203],"representation":[206],"analyzed,":[208],"then":[210,280],"moving":[212,216,234],"target":[213,217],"tracking":[218,232],"algorithms":[219],"needed":[220],"extract":[222],"are":[226,257],"introduced.":[227],"Through":[228],"video":[229],"targets,":[236],"obtained,":[244],"movement":[247],"each":[253],"frame":[254],"image":[256],"extracted.":[258],"According":[259],"relationship":[262],"between":[263],"lane":[271],"line,":[272],"realized,":[278],"it":[281],"judged":[283],"whether":[284],"Compared":[290],"with":[291],"traditional":[293],"method":[294],"manually":[296],"detecting":[297],"condition":[300],"vehicle,":[303],"quickly":[323],"monitoring":[334],"video.":[335]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}