{"id":"https://openalex.org/W4308009774","doi":"https://doi.org/10.3233/jcm-226514","title":"Establishment and simulation of RMEA-WNN-LSTM model for short-term traffic flow prediction","display_name":"Establishment and simulation of RMEA-WNN-LSTM model for short-term traffic flow prediction","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4308009774","doi":"https://doi.org/10.3233/jcm-226514"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-226514","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226514","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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/A5058273573","display_name":"Jiajia Dong","orcid":"https://orcid.org/0000-0003-2767-9124"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiajia Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007090034","display_name":"Liqiang Xu","orcid":"https://orcid.org/0000-0002-6316-2475"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liqiang Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075962198","display_name":"Jian-Xue Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxue Gong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5007090034"],"corresponding_institution_ids":[],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.0749,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35290212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"23","issue":"1","first_page":"87","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9994999766349792,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9994999766349792,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.994700014591217,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7468833923339844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6397112011909485},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6287289261817932},{"id":"https://openalex.org/keywords/premise","display_name":"Premise","score":0.6281376481056213},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6083071231842041},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5890532732009888},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5100639462471008},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5016319751739502},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4872263967990875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4744965732097626},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.41607749462127686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25964486598968506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7468833923339844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6397112011909485},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6287289261817932},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.6281376481056213},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6083071231842041},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5890532732009888},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5100639462471008},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5016319751739502},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4872263967990875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4744965732097626},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.41607749462127686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25964486598968506},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-226514","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226514","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1931640477","https://openalex.org/W2021654410","https://openalex.org/W2116544862","https://openalex.org/W2150152686","https://openalex.org/W2258671068","https://openalex.org/W2413688291","https://openalex.org/W2498151286","https://openalex.org/W2613322775","https://openalex.org/W2801858214","https://openalex.org/W2895931553","https://openalex.org/W2912371381","https://openalex.org/W3022964535","https://openalex.org/W3084182677","https://openalex.org/W3095815163","https://openalex.org/W3097072081","https://openalex.org/W3101454826","https://openalex.org/W3108315848","https://openalex.org/W4246680541","https://openalex.org/W6751819339"],"related_works":["https://openalex.org/W590788508","https://openalex.org/W4235873430","https://openalex.org/W2611974471","https://openalex.org/W4313233093","https://openalex.org/W2358082531","https://openalex.org/W2589976903","https://openalex.org/W2335596023","https://openalex.org/W2026719400","https://openalex.org/W2374273535","https://openalex.org/W1952244190"],"abstract_inverted_index":{"The":[0,151],"research":[1],"heat":[2],"of":[3,14,24,26,31,44,52,82,89,124,139,155],"artificial":[4,15,27],"intelligence":[5],"is":[6,11,21,36,46,105,117,133,149],"increasing,":[7],"and":[8,41,61,94,112,144],"intelligent":[9],"transportation":[10],"a":[12],"direction":[13],"intelligence.":[16,28],"Short-term":[17],"traffic":[18,140],"flow":[19,141],"prediction":[20,115,122,147,153],"the":[22,32,42,49,66,78,87,99,102,109,113,121,127,130,137,145,156,164],"embodiment":[23],"use":[25],"In":[29],"view":[30],"problem":[33],"that":[34,163],"there":[35],"no":[37],"communication":[38],"between":[39],"subgroups":[40,85],"diversity":[43],"groups":[45],"limited":[47],"after":[48],"convergence":[50],"operation":[51],"mind":[53,67],"evolutionary":[54,68],"algorithm,":[55],"this":[56],"paper":[57],"introduces":[58],"learning":[59,72,100],"mechanism":[60,63,104],"reflection":[62,103],"to":[64,107,135],"improve":[65],"algorithm":[69],"(RMEA).":[70],"Through":[71],"mechanism,":[73,101],"each":[74],"subgroup":[75],"can":[76],"obtain":[77],"winning":[79],"individual":[80],"information":[81],"all":[83],"other":[84],"on":[86],"premise":[88],"maintaining":[90],"its":[91],"own":[92],"characteristics,":[93],"generating":[95],"new":[96],"individuals.":[97],"After":[98],"used":[106,134],"select":[108],"best":[110],"individuals,":[111],"RMEA-WNN":[114],"model":[116,125,132,148,158,165],"constructed.":[118,150],"Moreover,":[119],"taking":[120],"residual":[123,142],"as":[126],"data":[128,138],"set,":[129],"LSTM":[131],"forecast":[136],"error,":[143],"RMEA-WNN-LSTM":[146],"simulation":[152],"accuracy":[154],"complex":[157],"reaches":[159],"96.8%,":[160],"which":[161],"proves":[162],"has":[166],"practical":[167],"application":[168],"value.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}