{"id":"https://openalex.org/W3011351716","doi":"https://doi.org/10.1109/aiccsa47632.2019.9035324","title":"Reducing Traffic Congestion by LSTM-LOF Framework","display_name":"Reducing Traffic Congestion by LSTM-LOF Framework","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011351716","doi":"https://doi.org/10.1109/aiccsa47632.2019.9035324","mag":"3011351716"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa47632.2019.9035324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa47632.2019.9035324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)","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/A5006772875","display_name":"Dou El Kefel Mansouri","orcid":"https://orcid.org/0000-0001-7365-4804"},"institutions":[{"id":"https://openalex.org/I137407579","display_name":"Universit\u00e9 Oran 1 Ahmed Ben Bella","ror":"https://ror.org/059et2b68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I137407579"]},{"id":"https://openalex.org/I4210110732","display_name":"Universit\u00e9 Ibn Khaldoun","ror":"https://ror.org/01g37t325","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210110732"]},{"id":"https://openalex.org/I3124969661","display_name":"Universit\u00e9 des Sciences et de la Technologie d'Oran Mohamed Boudiaf","ror":"https://ror.org/02nbj1r55","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3124969661"]}],"countries":["DZ","TN"],"is_corresponding":true,"raw_author_name":"Dou El Kefel Mansouri","raw_affiliation_strings":["Universit\u00e9 Ibn khaldoun, Tiaret, Alg\u00e9rie","Universit\u00e9 d'Oran des sciences et de la technologie USTO, Oran, Alg\u00e9rie"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Ibn khaldoun, Tiaret, Alg\u00e9rie","institution_ids":["https://openalex.org/I4210110732"]},{"raw_affiliation_string":"Universit\u00e9 d'Oran des sciences et de la technologie USTO, Oran, Alg\u00e9rie","institution_ids":["https://openalex.org/I3124969661","https://openalex.org/I137407579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013870013","display_name":"Seif-Eddine Benkabou","orcid":"https://orcid.org/0000-0002-4526-534X"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Seif-Eddine Benkabou","raw_affiliation_strings":["Universit\u00e9 Lyon1, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Lyon1, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085176162","display_name":"Bachir Kaddar","orcid":"https://orcid.org/0000-0003-4385-8683"},"institutions":[{"id":"https://openalex.org/I3124969661","display_name":"Universit\u00e9 des Sciences et de la Technologie d'Oran Mohamed Boudiaf","ror":"https://ror.org/02nbj1r55","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3124969661"]},{"id":"https://openalex.org/I4210110732","display_name":"Universit\u00e9 Ibn Khaldoun","ror":"https://ror.org/01g37t325","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210110732"]},{"id":"https://openalex.org/I137407579","display_name":"Universit\u00e9 Oran 1 Ahmed Ben Bella","ror":"https://ror.org/059et2b68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I137407579"]}],"countries":["DZ","TN"],"is_corresponding":false,"raw_author_name":"Bachir Kaddar","raw_affiliation_strings":["Universit\u00e9 Ibn khaldoun, Tiaret, Alg\u00e9rie","Universit\u00e9 d'Oran des sciences et de la technologie USTO, Oran, Alg\u00e9rie"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Ibn khaldoun, Tiaret, Alg\u00e9rie","institution_ids":["https://openalex.org/I4210110732"]},{"raw_affiliation_string":"Universit\u00e9 d'Oran des sciences et de la technologie USTO, Oran, Alg\u00e9rie","institution_ids":["https://openalex.org/I3124969661","https://openalex.org/I137407579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015423484","display_name":"Josep Llus Larriba-Pey","orcid":null},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Josep Llus Larriba-Pey","raw_affiliation_strings":["Politcnica de Catalunya, Data Management Group. DAMA-UPC, Barcelona, Espagne"],"affiliations":[{"raw_affiliation_string":"Politcnica de Catalunya, Data Management Group. DAMA-UPC, Barcelona, Espagne","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012083595","display_name":"Khalid Benabdeslem","orcid":"https://orcid.org/0000-0002-4324-924X"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Khalid Benabdeslem","raw_affiliation_strings":["Universit\u00e9 Lyon1, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Lyon1, France","institution_ids":["https://openalex.org/I100532134"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006772875"],"corresponding_institution_ids":["https://openalex.org/I137407579","https://openalex.org/I3124969661","https://openalex.org/I4210110732"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68025866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51462","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9969000220298767,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9689000248908997,"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":0.7317162156105042},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.6340293884277344},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6143420338630676},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5187419056892395},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.5179558992385864},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4960869252681732},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.47091126441955566},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3477276563644409},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2687472105026245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.258278489112854},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.11430409550666809},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11377134919166565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11227259039878845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09933975338935852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317162156105042},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.6340293884277344},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6143420338630676},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5187419056892395},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.5179558992385864},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4960869252681732},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.47091126441955566},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3477276563644409},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2687472105026245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.258278489112854},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.11430409550666809},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11377134919166565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11227259039878845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09933975338935852},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa47632.2019.9035324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa47632.2019.9035324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W6161079","https://openalex.org/W571770348","https://openalex.org/W1525147170","https://openalex.org/W1556024794","https://openalex.org/W1592090113","https://openalex.org/W1606919204","https://openalex.org/W1650484478","https://openalex.org/W1670263352","https://openalex.org/W1689711448","https://openalex.org/W1717533658","https://openalex.org/W1941427975","https://openalex.org/W1963509088","https://openalex.org/W1965606617","https://openalex.org/W1973758813","https://openalex.org/W1982418571","https://openalex.org/W1992474128","https://openalex.org/W1998443375","https://openalex.org/W2008056655","https://openalex.org/W2010921848","https://openalex.org/W2013746897","https://openalex.org/W2016258134","https://openalex.org/W2018588330","https://openalex.org/W2026493302","https://openalex.org/W2041382447","https://openalex.org/W2064675550","https://openalex.org/W2079720599","https://openalex.org/W2079873736","https://openalex.org/W2101916222","https://openalex.org/W2104593144","https://openalex.org/W2108168925","https://openalex.org/W2122646361","https://openalex.org/W2144182447","https://openalex.org/W2148958247","https://openalex.org/W2154689418","https://openalex.org/W2155632266","https://openalex.org/W2161974700","https://openalex.org/W2168463792","https://openalex.org/W2182036501","https://openalex.org/W2340767747","https://openalex.org/W2498119267","https://openalex.org/W2608847424","https://openalex.org/W2617259906","https://openalex.org/W2755236197","https://openalex.org/W2767041744","https://openalex.org/W2769919275","https://openalex.org/W2902455138","https://openalex.org/W4210850202","https://openalex.org/W4211064163","https://openalex.org/W4242314057","https://openalex.org/W4285719527","https://openalex.org/W6633310491","https://openalex.org/W6635409250","https://openalex.org/W6682946585","https://openalex.org/W6685310369","https://openalex.org/W6746219557","https://openalex.org/W6756753118","https://openalex.org/W7016072811"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W2972328880"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1],"is":[2,25,40],"a":[3,49,61,81],"phenomenon":[4],"with":[5,126],"which":[6],"most":[7],"drivers":[8,35],"are":[9],"familiar.":[10],"It":[11],"negatively":[12],"affects":[13],"drivers,":[14],"city's":[15],"residents":[16],"and":[17,43,91],"also":[18],"the":[19,28,85,129],"economic":[20],"efficiency.":[21],"Road":[22],"pavement":[23,38],"condition":[24],"one":[26],"of":[27,31,36,114],"main":[29],"causes":[30],"traffic":[32,50,66],"congestion.":[33,67],"Warning":[34],"road":[37,77],"conditions":[39],"an":[41,70],"effective":[42],"highly":[44],"recommended":[45],"solution":[46],"to":[47,64,128],"prevent":[48],"jam":[51],"before":[52],"it":[53],"actually":[54],"occurs.":[55],"Through":[56],"this":[57],"paper,":[58],"we":[59],"present":[60],"new":[62],"strategy":[63],"reduce":[65],"We":[68,79,117],"propose":[69],"unsupervised":[71],"anomaly":[72],"detection":[73],"framework":[74],"that":[75],"predicts":[76],"obstacles.":[78],"suggest":[80],"well-motivated":[82],"combination":[83,105],"between":[84],"Long":[86],"Short":[87],"Term":[88],"Memory":[89],"(LSTM)":[90],"Local":[92],"outlier":[93],"value":[94],"factor":[95],"(LOF)":[96],"techniques":[97],"for":[98],"predicting":[99],"obstacles":[100],"in":[101,112],"time":[102],"series.":[103],"This":[104],"can":[106],"potentially":[107],"offer":[108],"very":[109],"promising":[110],"results":[111],"terms":[113],"prediction":[115],"accuracy.":[116],"illustrate":[118],"significant":[119],"performance":[120],"gains":[121],"achieved":[122],"by":[123],"our":[124],"technique":[125],"respect":[127],"conventional":[130],"methods.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
