{"id":"https://openalex.org/W4323824531","doi":"https://doi.org/10.1109/iceic57457.2023.10049933","title":"Smart Commuting: Exploring Machine Learning Approaches to Understanding the Metro Rail Transit System","display_name":"Smart Commuting: Exploring Machine Learning Approaches to Understanding the Metro Rail Transit System","publication_year":2023,"publication_date":"2023-02-05","ids":{"openalex":"https://openalex.org/W4323824531","doi":"https://doi.org/10.1109/iceic57457.2023.10049933"},"language":"en","primary_location":{"id":"doi:10.1109/iceic57457.2023.10049933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic57457.2023.10049933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5084386376","display_name":"Jayrald Empino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096824","display_name":"Technological University of the Philippines","ror":"https://ror.org/00v4vjb95","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210096824"]},{"id":"https://openalex.org/I5791819","display_name":"University of the Philippines Manila","ror":"https://ror.org/01rrczv41","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I5791819"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Jayrald Empino","raw_affiliation_strings":["Technological University of the Philippines,Department of Computer Science,Manila,Philippines","Department of Computer Science, Technological University of the Philippines, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Technological University of the Philippines,Department of Computer Science,Manila,Philippines","institution_ids":["https://openalex.org/I4210096824"]},{"raw_affiliation_string":"Department of Computer Science, Technological University of the Philippines, Manila, Philippines","institution_ids":["https://openalex.org/I4210096824","https://openalex.org/I5791819"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061075986","display_name":"Jean Allyson Junsay","orcid":null},"institutions":[{"id":"https://openalex.org/I5791819","display_name":"University of the Philippines Manila","ror":"https://ror.org/01rrczv41","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I5791819"]},{"id":"https://openalex.org/I4210096824","display_name":"Technological University of the Philippines","ror":"https://ror.org/00v4vjb95","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210096824"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Jean Allyson Junsay","raw_affiliation_strings":["Technological University of the Philippines,Department of Computer Science,Manila,Philippines","Department of Computer Science, Technological University of the Philippines, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Technological University of the Philippines,Department of Computer Science,Manila,Philippines","institution_ids":["https://openalex.org/I4210096824"]},{"raw_affiliation_string":"Department of Computer Science, Technological University of the Philippines, Manila, Philippines","institution_ids":["https://openalex.org/I4210096824","https://openalex.org/I5791819"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056353988","display_name":"Mary Grace Verzon","orcid":null},"institutions":[{"id":"https://openalex.org/I5791819","display_name":"University of the Philippines Manila","ror":"https://ror.org/01rrczv41","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I5791819"]},{"id":"https://openalex.org/I4210096824","display_name":"Technological University of the Philippines","ror":"https://ror.org/00v4vjb95","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210096824"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Mary Grace Verzon","raw_affiliation_strings":["Technological University of the Philippines,Department of Computer Science,Manila,Philippines","Department of Computer Science, Technological University of the Philippines, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Technological University of the Philippines,Department of Computer Science,Manila,Philippines","institution_ids":["https://openalex.org/I4210096824"]},{"raw_affiliation_string":"Department of Computer Science, Technological University of the Philippines, Manila, Philippines","institution_ids":["https://openalex.org/I4210096824","https://openalex.org/I5791819"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005359226","display_name":"Mideth Abisado","orcid":"https://orcid.org/0000-0003-4215-7260"},"institutions":[{"id":"https://openalex.org/I4210090490","display_name":"National University","ror":"https://ror.org/000a8qk84","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210090490"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Mideth Abisado","raw_affiliation_strings":["National University,College of Computing and Information Technologies,Manila,Philippines","College of Computing and Information Technologies, National University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"National University,College of Computing and Information Technologies,Manila,Philippines","institution_ids":["https://openalex.org/I4210090490"]},{"raw_affiliation_string":"College of Computing and Information Technologies, National University, Manila, Philippines","institution_ids":["https://openalex.org/I4210090490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034770516","display_name":"Shekinah Lor Huyo-a","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shekinah Lor Huyo-a","raw_affiliation_strings":["Philippine Coding Camp,Research and Development Center,Manila,Philippines","Research and Development Center, Philippine Coding Camp, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Philippine Coding Camp,Research and Development Center,Manila,Philippines","institution_ids":[]},{"raw_affiliation_string":"Research and Development Center, Philippine Coding Camp, Manila, Philippines","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022474498","display_name":"Gabriel Avelino Sampedro","orcid":"https://orcid.org/0000-0003-2354-4409"},"institutions":[{"id":"https://openalex.org/I97002122","display_name":"University of the Philippines Open University","ror":"https://ror.org/00k27aj44","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I97002122"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Gabriel Avelino Sampedro","raw_affiliation_strings":["University of the Philippines Open University,Faculty of Information and Communication Studies,Laguna,Philippines","Faculty of Information and Communication Studies, University of the Philippines Open University, Laguna, Philippines"],"affiliations":[{"raw_affiliation_string":"University of the Philippines Open University,Faculty of Information and Communication Studies,Laguna,Philippines","institution_ids":["https://openalex.org/I97002122"]},{"raw_affiliation_string":"Faculty of Information and Communication Studies, University of the Philippines Open University, Laguna, Philippines","institution_ids":["https://openalex.org/I97002122"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084386376"],"corresponding_institution_ids":["https://openalex.org/I4210096824","https://openalex.org/I5791819"],"apc_list":null,"apc_paid":null,"fwci":0.4722,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59438326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9965999722480774,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9941999912261963,"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/transport-engineering","display_name":"Transport engineering","score":0.6575053930282593},{"id":"https://openalex.org/keywords/transit","display_name":"Transit (satellite)","score":0.6295639872550964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6085386276245117},{"id":"https://openalex.org/keywords/rail-transit","display_name":"Rail transit","score":0.5907736420631409},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.4961477220058441},{"id":"https://openalex.org/keywords/transit-system","display_name":"Transit system","score":0.474556028842926},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.44447529315948486},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.41218122839927673},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.37467339634895325},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.2902991771697998},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24684208631515503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20317527651786804}],"concepts":[{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6575053930282593},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.6295639872550964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6085386276245117},{"id":"https://openalex.org/C2992701429","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Rail transit","level":2,"score":0.5907736420631409},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4961477220058441},{"id":"https://openalex.org/C2991774327","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Transit system","level":4,"score":0.474556028842926},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.44447529315948486},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.41218122839927673},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.37467339634895325},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2902991771697998},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24684208631515503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20317527651786804}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic57457.2023.10049933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic57457.2023.10049933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2400706910","https://openalex.org/W3032821910","https://openalex.org/W3100161724","https://openalex.org/W3136832187","https://openalex.org/W3203702524","https://openalex.org/W4206029105","https://openalex.org/W4207049719","https://openalex.org/W4240724722","https://openalex.org/W4294343983","https://openalex.org/W6712986923"],"related_works":["https://openalex.org/W2141099407","https://openalex.org/W747296615","https://openalex.org/W2051044998","https://openalex.org/W1546100952","https://openalex.org/W1560871288","https://openalex.org/W3081324541","https://openalex.org/W2384404718","https://openalex.org/W2372491707","https://openalex.org/W4224295584","https://openalex.org/W573553095"],"abstract_inverted_index":{"The":[0,52,141,165],"Metro":[1],"Rail":[2],"Transit":[3],"Line":[4],"3":[5],"(MRT3)":[6],"has":[7],"been":[8],"a":[9,83,94,98,121,133],"mode":[10],"of":[11,26,33,44,54,125],"transportation":[12],"for":[13],"many":[14,77],"commuters":[15,79],"since":[16],"its":[17],"inception":[18],"last":[19],"1999.":[20],"Each":[21],"day,":[22],"more":[23],"than":[24],"thousands":[25],"passengers":[27,45],"are":[28],"recorded":[29],"by":[30],"the":[31,38,42,55,101,129,160,182],"Department":[32],"Transportation":[34],"(DOTr)":[35],"to":[36,60,90,97,116,149],"ride":[37],"MRT3":[39,56],"and":[40,67,86,110,158,175],"predicting":[41],"number":[43],"per":[46],"day":[47,85],"can":[48,112,154],"be":[49,113],"quite":[50,114],"difficult.":[51],"ridership":[53,127,131,161],"varies":[57],"daily":[58,126],"due":[59],"factors":[61],"such":[62],"as":[63],"holidays,":[64],"working":[65],"days,":[66],"even":[68],"sudden":[69],"technical":[70],"issues.":[71],"Commuters":[72],"do":[73],"not":[74],"know":[75],"how":[76],"other":[78],"will":[80],"board":[81],"on":[82,104,108,136,146],"certain":[84,137],"this":[87,111,119],"could":[88],"lead":[89],"difficulty":[91],"in":[92,132],"planning":[93],"convenient":[95],"journey":[96],"destination.":[99],"Currently,":[100],"DOTr":[102],"relies":[103],"historical":[105],"data":[106,157,162],"plotted":[107],"spreadsheets":[109],"difficult":[115],"analyze.":[117],"In":[118],"research,":[120],"time":[122],"series":[123],"forecasting":[124],"predicts":[128],"future":[130],"specific":[134],"station":[135],"days":[138],"is":[139],"proposed.":[140],"proposed":[142],"prediction":[143],"method":[144],"runs":[145],"Azure":[147],"AutoML":[148],"train":[150],"different":[151],"models":[152,167,180],"that":[153],"give":[155],"accurate":[156],"uses":[159],"from":[163],"DOTr.":[164],"trained":[166],"used":[168],"include":[169],"Gradient":[170],"Boosting,":[171],"Extreme":[172],"Random":[173],"Trees,":[174],"Light":[176],"GBM":[177],"-":[178],"these":[179],"have":[181],"best":[183],"accuracy.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}