{"id":"https://openalex.org/W4404634401","doi":"https://doi.org/10.1016/j.knosys.2024.112785","title":"Long-term traffic speed prediction utilizing data augmentation via segmented time frame clustering","display_name":"Long-term traffic speed prediction utilizing data augmentation via segmented time frame clustering","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4404634401","doi":"https://doi.org/10.1016/j.knosys.2024.112785"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2024.112785","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2024.112785","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.knosys.2024.112785","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057093483","display_name":"Robin Kuok Cheong Chan","orcid":"https://orcid.org/0000-0002-0156-8648"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Robin Kuok Cheong Chan","raw_affiliation_strings":["Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084946395","display_name":"Joanne Lim","orcid":"https://orcid.org/0000-0002-1326-8634"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Joanne Mun-Yee Lim","raw_affiliation_strings":["Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-1326-8634","affiliations":[{"raw_affiliation_string":"Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001670707","display_name":"Rajendran Parthiban","orcid":"https://orcid.org/0000-0003-0983-9796"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rajendran Parthiban","raw_affiliation_strings":["Department of Electrical and Computer Systems Engineering, Faculty of Engineering, Monash University Australia, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0983-9796","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Systems Engineering, Faculty of Engineering, Monash University Australia, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084946395"],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":{"value":3130,"currency":"USD","value_usd":3130},"fwci":0.9018,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70899135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"308","issue":null,"first_page":"112785","last_page":"112785"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.737913191318512},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7220091819763184},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6720370650291443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6450873613357544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4034925103187561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36210042238235474},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34217947721481323},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12467914819717407}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.737913191318512},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7220091819763184},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6720370650291443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6450873613357544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4034925103187561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36210042238235474},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34217947721481323},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12467914819717407},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2024.112785","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2024.112785","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.knosys.2024.112785","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2024.112785","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2339042578","https://openalex.org/W2593182953","https://openalex.org/W2603250181","https://openalex.org/W2613331518","https://openalex.org/W2796130100","https://openalex.org/W2799109291","https://openalex.org/W2889536547","https://openalex.org/W2891280833","https://openalex.org/W2901504064","https://openalex.org/W2905967367","https://openalex.org/W2913668833","https://openalex.org/W2914289538","https://openalex.org/W2922426219","https://openalex.org/W2933146161","https://openalex.org/W2939120428","https://openalex.org/W2967656689","https://openalex.org/W2988486362","https://openalex.org/W2994901268","https://openalex.org/W2996451395","https://openalex.org/W3000499162","https://openalex.org/W3006156969","https://openalex.org/W3015712039","https://openalex.org/W3021810927","https://openalex.org/W3023853351","https://openalex.org/W3025986213","https://openalex.org/W3034077089","https://openalex.org/W3041279471","https://openalex.org/W3088157793","https://openalex.org/W3100441442","https://openalex.org/W3119276537","https://openalex.org/W3123191313","https://openalex.org/W3177318507","https://openalex.org/W3181655313","https://openalex.org/W3198805468","https://openalex.org/W4248609128","https://openalex.org/W4289619803","https://openalex.org/W4306955484","https://openalex.org/W4366147731","https://openalex.org/W6638545294","https://openalex.org/W6731671061","https://openalex.org/W6739901393","https://openalex.org/W6746473619","https://openalex.org/W6759532431","https://openalex.org/W6778072500","https://openalex.org/W6780648320","https://openalex.org/W6783390404","https://openalex.org/W6785434978","https://openalex.org/W6789614310","https://openalex.org/W6801093250","https://openalex.org/W6803944493","https://openalex.org/W6852331039"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2980611886","https://openalex.org/W2804364458","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2330575325","https://openalex.org/W2090259340","https://openalex.org/W1926736923"],"abstract_inverted_index":{"Among":[0],"many":[1],"traffic":[2,11,18,22,113,139,154],"forecasting":[3,114],"studies,":[4],"comparatively":[5],"fewer":[6],"studies":[7],"focus":[8],"on":[9,46],"long-term":[10,112,153],"prediction,":[12],"such":[13,20],"as":[14,21,102,143,160],"24-hour":[15],"prediction.":[16],"While":[17],"data":[19,34,57,81,125,140],"speed":[23],"are":[24],"easier":[25],"to":[26,77,99,134,209],"obtain,":[27],"obtaining":[28],"similarly":[29],"reliable":[30],"and":[31,87,127,141,181,189,198,243,247],"accessible":[32],"feature":[33,73,105],"with":[35,124,176],"the":[36,47,52,69,84,94,136,216,220,231],"inclusion":[37],"of":[38,51,71,138],"weather":[39],"or":[40,49],"events":[41],"would":[42],"be":[43,100],"difficult":[44],"depending":[45],"location":[48],"availability":[50],"service":[53],"providers.":[54],"Getting":[55],"these":[56],"becomes":[58],"a":[59,75,111,118],"more":[60,89],"significant":[61],"issue":[62,70],"when":[63],"considering":[64],"global":[65],"coverage.":[66],"To":[67],"mitigate":[68],"limited":[72],"data,":[74],"method":[76,122,222],"augment":[78],"already":[79],"existing":[80,177],"by":[82,239],"improving":[83],"dataset's":[85],"quality":[86],"ensuring":[88],"accurate":[90],"training":[91],"via":[92,129],"sorting":[93],"dataset":[95],"into":[96],"appropriate":[97],"clusters":[98],"used":[101],"an":[103],"additional":[104,144],"is":[106,157,165,174],"proposed.":[107],"This":[108,162],"paper":[109],"proposes":[110],"model":[115,164,173,234],"that":[116,206,230],"utilizes":[117,224],"novel":[119],"time-series":[120],"segmentation":[121],"paired":[123],"clustering":[126],"classification":[128],"Convolutional":[130],"Neural":[131],"Network":[132],"(CNN)":[133],"cover":[135],"lack":[137],"features":[142],"pre-processing":[145],"before":[146],"using":[147,183],"Long":[148],"Short-Term":[149],"Memory":[150],"(LSTM)":[151],"for":[152,219,245],"prediction":[155],"which":[156],"not":[158],"researched":[159],"much.":[161],"proposed":[163,172,221,232],"called":[166],"Cluster":[167],"Augmented":[168],"LSTM":[169,197,211],"(CAL).":[170],"The":[171,226],"compared":[175],"machine":[178],"learning":[179],"models":[180],"evaluated":[182],"Mean":[184],"Absolute":[185],"Percentage":[186],"Error":[187],"(MAPE)":[188],"Root-Mean-Squared-Error":[190],"(RMSE)":[191],"performance":[192],"metrics.":[193],"A":[194],"comparison":[195],"between":[196],"Gated":[199],"Recurrent":[200],"Units":[201],"(GRU)":[202],"was":[203],"conducted,":[204],"showing":[205],"GRU":[207],"tends":[208],"outperform":[210],"in":[212],"most":[213],"cases.":[214],"However,":[215],"best-performing":[217],"result":[218],"still":[223],"LSTM.":[225],"final":[227],"results":[228,238],"show":[229],"CAL":[233],"could":[235],"achieve":[236],"better":[237],"1.42":[240],"%-1.76":[241],"%":[242],"0.25\u20130.41":[244],"MAPE":[246],"RMSE,":[248],"respectively.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
