{"id":"https://openalex.org/W4381747220","doi":"https://doi.org/10.1145/3589845.3589855","title":"Prediction of road traffic flow applying Long Short-Term Memory Model considering impact of COVID-19 in Toyota City","display_name":"Prediction of road traffic flow applying Long Short-Term Memory Model considering impact of COVID-19 in Toyota City","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4381747220","doi":"https://doi.org/10.1145/3589845.3589855"},"language":"en","primary_location":{"id":"doi:10.1145/3589845.3589855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589845.3589855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Data Engineering","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/A5031008214","display_name":"Rui Mu","orcid":"https://orcid.org/0000-0002-7584-6890"},"institutions":[{"id":"https://openalex.org/I4210106068","display_name":"Toyota Transportation Research Institute","ror":"https://ror.org/00z7gjv76","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210106068"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Rui Mu","raw_affiliation_strings":["Toyota Transportation Research Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Transportation Research Institute, Japan","institution_ids":["https://openalex.org/I4210106068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082789094","display_name":"Yasuhiro Mimura","orcid":"https://orcid.org/0000-0003-2085-5199"},"institutions":[{"id":"https://openalex.org/I4210106068","display_name":"Toyota Transportation Research Institute","ror":"https://ror.org/00z7gjv76","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210106068"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiro Mimura","raw_affiliation_strings":["Toyota Transportation Research Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Transportation Research Institute, Japan","institution_ids":["https://openalex.org/I4210106068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059130690","display_name":"Motohiro Yamazaki","orcid":"https://orcid.org/0009-0005-3606-0720"},"institutions":[{"id":"https://openalex.org/I4210106068","display_name":"Toyota Transportation Research Institute","ror":"https://ror.org/00z7gjv76","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210106068"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motohiro Yamazaki","raw_affiliation_strings":["Toyota Transportation Research Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Transportation Research Institute, Japan","institution_ids":["https://openalex.org/I4210106068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020919634","display_name":"Yu Suzuki","orcid":"https://orcid.org/0009-0005-3766-4972"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Suzuki","raw_affiliation_strings":["Faculty of science and Technology, TOKYO University of Science, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of science and Technology, TOKYO University of Science, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109616922","display_name":"Toshiyasu Takakuwa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106068","display_name":"Toyota Transportation Research Institute","ror":"https://ror.org/00z7gjv76","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210106068"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiyasu Takakuwa","raw_affiliation_strings":["Toyota Transportation Research Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Transportation Research Institute, Japan","institution_ids":["https://openalex.org/I4210106068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031008214"],"corresponding_institution_ids":["https://openalex.org/I4210106068"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07468132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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/T10524","display_name":"Traffic control and management","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6151553392410278},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6072458624839783},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6043350696563721},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.5631862878799438},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5320523977279663},{"id":"https://openalex.org/keywords/time-sequence","display_name":"Time sequence","score":0.4597163200378418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43568485975265503},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39939865469932556},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32929399609565735},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.32255327701568604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25744062662124634},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.2564099431037903},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.22155916690826416},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21325618028640747},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17529982328414917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1648264229297638},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1261463463306427},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11029309034347534}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6151553392410278},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6072458624839783},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6043350696563721},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.5631862878799438},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5320523977279663},{"id":"https://openalex.org/C3020136221","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time sequence","level":2,"score":0.4597163200378418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43568485975265503},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39939865469932556},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32929399609565735},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.32255327701568604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25744062662124634},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2564099431037903},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.22155916690826416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21325618028640747},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17529982328414917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1648264229297638},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1261463463306427},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11029309034347534},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589845.3589855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589845.3589855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8299999833106995,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2116261113","https://openalex.org/W2572939427","https://openalex.org/W2598842688","https://openalex.org/W2963914175","https://openalex.org/W2969222287","https://openalex.org/W3035338169","https://openalex.org/W3036639140","https://openalex.org/W3041582833","https://openalex.org/W3093966865","https://openalex.org/W3100805595","https://openalex.org/W3135400423","https://openalex.org/W3157031719","https://openalex.org/W3167466965","https://openalex.org/W3200209198"],"related_works":["https://openalex.org/W2387024628","https://openalex.org/W2286688127","https://openalex.org/W4401807425","https://openalex.org/W2986526043","https://openalex.org/W2964866226","https://openalex.org/W2366563688","https://openalex.org/W2374269412","https://openalex.org/W1972179674","https://openalex.org/W2245382363","https://openalex.org/W2390899056"],"abstract_inverted_index":{"Due":[0],"to":[1,24,118,134],"various":[2],"changes":[3,9],"during":[4,49,58],"the":[5,29,39,46,102,136],"COVID-19":[6,115],"pandemic,":[7],"special":[8,99],"of":[10,17,26,45,64,86,92,94,114,146,156],"road":[11,19],"traffic":[12,20],"flow":[13,21],"are":[14,35],"assumed.":[15],"Changes":[16],"detected":[18],"(DRTF)":[22],"compared":[23],"that":[25,141],"2019":[27],"under":[28],"same":[30],"conditions":[31],"in":[32,51,60,79,158,163],"Toyota":[33],"city":[34],"analyzed":[36],"firstly.":[37],"Generally,":[38],"DRTF":[40,47,66,88,157],"decrease.":[41],"Monthly":[42],"change":[43,84],"rate":[44,63,85],"fluctuated":[48],"2020":[50,80],"83.6%\u223c98.3%,":[52],"however,":[53],"they":[54],"keep":[55],"relatively":[56],"stable":[57],"2021":[59],"88.7%\u223c93.2%.":[61],"Change":[62],"one-day-average":[65,87],"for":[67,71,89],"different":[68,77,90],"weekdays,":[69],"and":[70,81,128,144],"three":[72],"long":[73],"holidays":[74],"also":[75],"have":[76,98],"trends":[78],"2021.":[82],"Moreover,":[83],"time":[91],"state":[93],"emergency":[95],"declarations":[96],"(SED)":[97],"characteristics.":[100],"Regarding":[101],"analysis":[103],"above,":[104],"a":[105],"Long":[106],"Short-Term":[107],"Memory":[108],"(LSTM)":[109],"Model":[110],"which":[111],"consider":[112],"impact":[113],"is":[116,125,131,149,161],"developed":[117],"predict":[119],"one-day":[120],"DRTF.":[121],"Sequence-to-sequence":[122],"(StS)":[123],"model":[124,148],"introduced,":[126],"one-to-one":[127,147],"many-to-one":[129,152,164],"models":[130],"designed":[132],"separately":[133],"do":[135],"prediction.":[137],"The":[138],"results":[139],"demonstrate":[140],"MAE,":[142],"MAPE,":[143],"RMSE":[145],"better":[150],"than":[151],"model,":[153],"although":[154],"relationship":[155],"one":[159],"week":[160],"considered":[162],"model.":[165]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}