{"id":"https://openalex.org/W4379473454","doi":"https://doi.org/10.1080/08839514.2023.2216060","title":"Abnormal driving behavior detection based on an improved ant colony algorithm","display_name":"Abnormal driving behavior detection based on an improved ant colony algorithm","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4379473454","doi":"https://doi.org/10.1080/08839514.2023.2216060"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2023.2216060","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1080/08839514.2023.2216060","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2216060?needAccess=true&role=button","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2216060?needAccess=true&role=button","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072380374","display_name":"Xiaodi Huang","orcid":"https://orcid.org/0000-0002-6084-1851"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodi Huang","raw_affiliation_strings":["School of Economics and Management, Hefei University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028629040","display_name":"Po Yun","orcid":"https://orcid.org/0000-0002-6579-0299"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Po Yun","raw_affiliation_strings":["School of Economics and Management, Hefei University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112930218","display_name":"Shuhui Wu","orcid":"https://orcid.org/0009-0003-0981-1424"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Wu","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027697010","display_name":"Zhongfeng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfeng Hu","raw_affiliation_strings":["School of Economics and Management, Hefei University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072380374"],"corresponding_institution_ids":["https://openalex.org/I39774598"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.6345,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72266983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"37","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9983999729156494,"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":0.9952999949455261,"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/computer-science","display_name":"Computer science","score":0.761013388633728},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6434962153434753},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.5115862488746643},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5050857663154602},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4954267740249634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4556264877319336},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4467850923538208},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4273521602153778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3337220251560211},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1172829270362854},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09190785884857178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761013388633728},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6434962153434753},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.5115862488746643},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5050857663154602},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4954267740249634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4556264877319336},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4467850923538208},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4273521602153778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3337220251560211},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1172829270362854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09190785884857178},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2023.2216060","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1080/08839514.2023.2216060","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2216060?needAccess=true&role=button","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:11c26ca5a6ec4b7f9bc336b9bb6a0b1a","is_oa":true,"landing_page_url":"https://doaj.org/article/11c26ca5a6ec4b7f9bc336b9bb6a0b1a","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":"Applied Artificial Intelligence, Vol 37, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2023.2216060","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1080/08839514.2023.2216060","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2216060?needAccess=true&role=button","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4379473454.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2907589510","https://openalex.org/W3001940038","https://openalex.org/W3007624738","https://openalex.org/W3014666007","https://openalex.org/W3019397229","https://openalex.org/W3023995140","https://openalex.org/W3026706456","https://openalex.org/W3040992657","https://openalex.org/W3047056580","https://openalex.org/W3056330057","https://openalex.org/W3108074852","https://openalex.org/W3111855148","https://openalex.org/W3157797833","https://openalex.org/W3215371910","https://openalex.org/W4210883075","https://openalex.org/W4213101961","https://openalex.org/W4213215092","https://openalex.org/W4226424593","https://openalex.org/W4286560204","https://openalex.org/W4292382514","https://openalex.org/W4292971017","https://openalex.org/W4310014952","https://openalex.org/W4311396596","https://openalex.org/W4313216104"],"related_works":["https://openalex.org/W2727311809","https://openalex.org/W2182624400","https://openalex.org/W2767428579","https://openalex.org/W2365800168","https://openalex.org/W1992807692","https://openalex.org/W2078492738","https://openalex.org/W3014549013","https://openalex.org/W2366876790","https://openalex.org/W1971984784","https://openalex.org/W4285338599"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,13,23,26,70,87,106],"the":[3,8,54,83,102,124,129,137],"most":[4],"serious":[5],"hazards":[6],"in":[7,33],"world,":[9],"more":[10],"than":[11],"80%":[12],"traffic":[14],"accidents":[15],"are":[16],"caused":[17],"by":[18,43,100,127],"driver":[19],"misconduct.":[20],"The":[21,36,57],"detection":[22,79],"abnormal":[24,97,143],"behavior":[25,60,99,145],"drivers":[27,88],"is":[28,39,120],"important":[29],"to":[30,53,122],"improve":[31,123],"safety":[32],"public":[34],"transportation.":[35],"anomaly":[37],"measurement":[38],"not":[40],"only":[41],"determined":[42],"objective":[44],"rules":[45],"such":[46],"as":[47],"laws,":[48],"but":[49],"also":[50],"distinguished":[51],"due":[52],"biological":[55],"characteristics.":[56],"same":[58],"driving":[59,91,98,144],"may":[61],"present":[62],"completely":[63],"opposite":[64],"judgment":[65],"results":[66,134],"for":[67,89],"different":[68],"categories":[69],"drivers.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"a":[77],"novel":[78],"method":[80,139],"that":[81,136],"measures":[82],"preference":[84],"path":[85],"length":[86],"various":[90],"operations":[92],"via":[93],"pheromones,":[94],"and":[95,146],"identifies":[96],"calculating":[101],"cumulative":[103],"conversion":[104],"probability":[105],"operation":[107],"switching.":[108],"An":[109],"improved":[110],"ant":[111],"colony":[112],"algorithm":[113],"based":[114],"on":[115],"fixed":[116],"point":[117],"simplicial":[118],"theory":[119],"proposed":[121,138],"convergence":[125],"efficiency":[126],"optimizing":[128],"initial":[130],"population":[131],"state.":[132],"Experimental":[133],"show":[135],"can":[140],"effectively":[141],"detect":[142],"significantly":[147],"reduce":[148],"false":[149],"alarms.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
