{"id":"https://openalex.org/W4387914126","doi":"https://doi.org/10.1109/codit58514.2023.10284146","title":"Classification and Prediction of Overloaded Trucks Passing the Southbound Lane of North-Luzon Expressway Using Artificial Neural Network","display_name":"Classification and Prediction of Overloaded Trucks Passing the Southbound Lane of North-Luzon Expressway Using Artificial Neural Network","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4387914126","doi":"https://doi.org/10.1109/codit58514.2023.10284146"},"language":"en","primary_location":{"id":"doi:10.1109/codit58514.2023.10284146","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5093120684","display_name":"Ahdrian Camilo C. Gernale","orcid":null},"institutions":[{"id":"https://openalex.org/I4387154596","display_name":"Industrial Technology Development Institute","ror":"https://ror.org/058k8t807","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210164766","https://openalex.org/I4387154596"]},{"id":"https://openalex.org/I4210126053","display_name":"Industrial Technology Institute","ror":"https://ror.org/0302fn725","country_code":"LK","type":"facility","lineage":["https://openalex.org/I4210126053"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"Ahdrian Camilo C. Gernale","raw_affiliation_strings":["Industrial Technology Development Institute, and T.I.P. Manila Graduate Programs","Department of Science and Technology, Industrial Technology Development Institute"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Development Institute, and T.I.P. Manila Graduate Programs","institution_ids":["https://openalex.org/I4210126053","https://openalex.org/I4387154596"]},{"raw_affiliation_string":"Department of Science and Technology, Industrial Technology Development Institute","institution_ids":["https://openalex.org/I4210126053","https://openalex.org/I4387154596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083128464","display_name":"Dranreb Earl Juanico","orcid":"https://orcid.org/0000-0003-3439-3167"},"institutions":[{"id":"https://openalex.org/I95350115","display_name":"Technological Institute of the Philippines","ror":"https://ror.org/02p79p790","country_code":"PH","type":"education","lineage":["https://openalex.org/I95350115"]},{"id":"https://openalex.org/I4210126053","display_name":"Industrial Technology Institute","ror":"https://ror.org/0302fn725","country_code":"LK","type":"facility","lineage":["https://openalex.org/I4210126053"]},{"id":"https://openalex.org/I4387154596","display_name":"Industrial Technology Development Institute","ror":"https://ror.org/058k8t807","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210164766","https://openalex.org/I4387154596"]}],"countries":["LK","PH"],"is_corresponding":false,"raw_author_name":"Drandreb Earl O. Juanico","raw_affiliation_strings":["Industrial Technology Development Institute, and T.I.P. Manila Graduate Programs","Technological Institute of the Philippines"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Development Institute, and T.I.P. Manila Graduate Programs","institution_ids":["https://openalex.org/I4210126053","https://openalex.org/I4387154596"]},{"raw_affiliation_string":"Technological Institute of the Philippines","institution_ids":["https://openalex.org/I95350115"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093120684"],"corresponding_institution_ids":["https://openalex.org/I4210126053","https://openalex.org/I4387154596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14388905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"53","issue":null,"first_page":"2229","last_page":"2234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14304","display_name":"Transport Systems and Technology","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14304","display_name":"Transport Systems and Technology","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/truck","display_name":"Truck","score":0.9331392645835876},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6812993288040161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6107239723205566},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5964035391807556},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5607300400733948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3272392153739929},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2854466438293457},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.12123560905456543}],"concepts":[{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.9331392645835876},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6812993288040161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6107239723205566},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5964035391807556},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5607300400733948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3272392153739929},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2854466438293457},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.12123560905456543}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit58514.2023.10284146","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2167279688","https://openalex.org/W2752409131","https://openalex.org/W2853824254","https://openalex.org/W2906071845","https://openalex.org/W2972519617","https://openalex.org/W2978477452","https://openalex.org/W2999309192","https://openalex.org/W3092248103","https://openalex.org/W3120383196","https://openalex.org/W3169161975","https://openalex.org/W3195552859","https://openalex.org/W6684357953"],"related_works":["https://openalex.org/W2151768624","https://openalex.org/W2214078930","https://openalex.org/W3122052772","https://openalex.org/W561646759","https://openalex.org/W1983537108","https://openalex.org/W1974098980","https://openalex.org/W630632068","https://openalex.org/W587064707","https://openalex.org/W602275442","https://openalex.org/W4205159025"],"abstract_inverted_index":{"The":[0],"rapid":[1],"industrialization":[2],"and":[3,19,25,37,56,83,90,100,105,121,163,170,173,177,181],"development":[4],"of":[5,13,40,133,150],"the":[6,38,53,65,68,76,87,109,116,125,142,147,151],"Philippines":[7],"equate":[8],"to":[9,49,81,107,128,165,179],"an":[10,112,190],"increased":[11],"volume":[12],"vehicles.":[14],"Overloaded":[15],"vehicles,":[16],"notably":[17],"trucks":[18],"trailers,":[20],"cause":[21],"heavy":[22],"traffic,":[23],"accidents,":[24],"highway":[26,35],"damage.":[27],"To":[28],"mitigate":[29],"this":[30,42,63],"problem":[31],"associated":[32],"with":[33,59],"economy,":[34],"safety,":[36],"integrity":[39],"highways,":[41],"research":[43,154],"proposed":[44],"using":[45],"machine":[46],"learning":[47,94],"models":[48,120],"gain":[50,84],"information":[51],"on":[52,124,193],"truck's":[54,88],"patterns":[55],"predict":[57,129,189],"overloading":[58],"high":[60],"accuracy.":[61],"In":[62],"study,":[64],"researcher":[66,117],"used":[67],"High-Speed":[69],"Weigh-In-Motion":[70],"(HS-WIM)":[71],"seven-day":[72],"dataset":[73,127],"provided":[74],"by":[75],"North":[77],"Luzon":[78],"Expressway":[79],"corporation":[80],"analyze":[82],"insights":[85,157],"into":[86],"pattern":[89],"behavior":[91],"utilizing":[92],"unsupervised":[93],"technique":[95],"(clustering)":[96],"Principal":[97],"Component":[98],"Analysis":[99],"t-distributed":[101],"stochastic":[102],"neighborhood":[103],"embedding,":[104],"k-means":[106],"cluster":[108],"trucks.":[110],"Using":[111],"artificial":[113],"neural":[114],"network,":[115],"developed":[118],"several":[119],"tested":[122],"them":[123],"unseen":[126],"overloading.":[130],"An":[131],"average":[132],"89%":[134],"accuracy":[135,144],"was":[136,139],"obtained,":[137],"which":[138],"higher":[140],"than":[141],"85%":[143],"recorded":[145],"during":[146],"2019":[148],"calibration":[149],"HS-WIM.":[152],"This":[153],"provides":[155],"valuable":[156],"for":[158],"local":[159],"chief":[160],"executives,":[161],"decision-makers,":[162],"policymakers":[164],"formulate":[166],"updated":[167],"road":[168],"safety":[169],"management":[171],"guidelines":[172],"reasonably":[174],"utilize":[175],"resources":[176],"potential":[178],"develop":[180],"manufacture":[182],"a":[183],"low-cost":[184],"sensor-based":[185],"system":[186],"that":[187],"can":[188],"overloaded":[191],"truck":[192],"our":[194],"highways.":[195]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}