{"id":"https://openalex.org/W2944802617","doi":"https://doi.org/10.1109/tits.2019.2905601","title":"A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction","display_name":"A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction","publication_year":2019,"publication_date":"2019-05-09","ids":{"openalex":"https://openalex.org/W2944802617","doi":"https://doi.org/10.1109/tits.2019.2905601","mag":"2944802617"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2905601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2905601","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5010653528","display_name":"Elton Soares","orcid":"https://orcid.org/0000-0002-7371-8035"},"institutions":[{"id":"https://openalex.org/I83648350","display_name":"Universidade Federal do Estado do Rio de Janeiro","ror":"https://ror.org/04tec8z30","country_code":"BR","type":"education","lineage":["https://openalex.org/I83648350"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Elton F. de S. Soares","raw_affiliation_strings":["Federal University of State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil","Federal University of State of Rio de Janeiro \u2013 UNIRIO, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I83648350"]},{"raw_affiliation_string":"Federal University of State of Rio de Janeiro \u2013 UNIRIO, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I83648350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078021208","display_name":"Kate Revoredo","orcid":"https://orcid.org/0000-0001-8914-9132"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kate Revoredo","raw_affiliation_strings":["Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil","Federal University of Rio de Janeiro - UFRJ, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Federal University of Rio de Janeiro - UFRJ, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060933776","display_name":"Fernanda Bai\u00e3o","orcid":"https://orcid.org/0000-0001-7932-7134"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernanda Baiao","raw_affiliation_strings":["Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil","Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil#TAB#"],"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]},{"raw_affiliation_string":"Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil#TAB#","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055539077","display_name":"Carlos A. de M. S. Quintella","orcid":null},"institutions":[{"id":"https://openalex.org/I83648350","display_name":"Universidade Federal do Estado do Rio de Janeiro","ror":"https://ror.org/04tec8z30","country_code":"BR","type":"education","lineage":["https://openalex.org/I83648350"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos A. de M. S. Quintella","raw_affiliation_strings":["Federal University of State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil","Federal University of State of Rio de Janeiro \u2013 UNIRIO, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I83648350"]},{"raw_affiliation_string":"Federal University of State of Rio de Janeiro \u2013 UNIRIO, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I83648350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087835697","display_name":"Carlos Alberto V. Campos","orcid":"https://orcid.org/0000-0002-9979-6541"},"institutions":[{"id":"https://openalex.org/I83648350","display_name":"Universidade Federal do Estado do Rio de Janeiro","ror":"https://ror.org/04tec8z30","country_code":"BR","type":"education","lineage":["https://openalex.org/I83648350"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos Alberto V. Campos","raw_affiliation_strings":["Federal University of State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil","Federal University of State of Rio de Janeiro \u2013 UNIRIO, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I83648350"]},{"raw_affiliation_string":"Federal University of State of Rio de Janeiro \u2013 UNIRIO, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I83648350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010653528"],"corresponding_institution_ids":["https://openalex.org/I83648350"],"apc_list":null,"apc_paid":null,"fwci":6.1552,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95150248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"12","first_page":"4655","last_page":"4664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":1.0,"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/T11106","display_name":"Data Management and Algorithms","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9936000108718872,"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/preprocessor","display_name":"Preprocessor","score":0.7364281415939331},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7004939913749695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682586133480072},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5885441303253174},{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.5828335285186768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5295618176460266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49326270818710327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4833488166332245},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4536064565181732},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.41930750012397766}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7364281415939331},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7004939913749695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682586133480072},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5885441303253174},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.5828335285186768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5295618176460266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49326270818710327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4833488166332245},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4536064565181732},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.41930750012397766},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2019.2905601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2905601","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W255010917","https://openalex.org/W819693064","https://openalex.org/W1647221522","https://openalex.org/W1678356000","https://openalex.org/W1817561967","https://openalex.org/W1969693647","https://openalex.org/W1983447652","https://openalex.org/W1986705681","https://openalex.org/W1990653740","https://openalex.org/W2033626294","https://openalex.org/W2042661229","https://openalex.org/W2056495296","https://openalex.org/W2119821739","https://openalex.org/W2125826911","https://openalex.org/W2135346934","https://openalex.org/W2137199074","https://openalex.org/W2158698691","https://openalex.org/W2164616133","https://openalex.org/W2187373718","https://openalex.org/W2199661528","https://openalex.org/W2201935820","https://openalex.org/W2295598076","https://openalex.org/W2334294332","https://openalex.org/W2403615516","https://openalex.org/W2417663649","https://openalex.org/W2500941883","https://openalex.org/W2518496153","https://openalex.org/W2564326070","https://openalex.org/W2583120682","https://openalex.org/W2607030456","https://openalex.org/W2608595939","https://openalex.org/W2609649633","https://openalex.org/W2619999448","https://openalex.org/W2736098799","https://openalex.org/W2752228365","https://openalex.org/W2756124448","https://openalex.org/W2773655796","https://openalex.org/W2783429905","https://openalex.org/W2787741622","https://openalex.org/W2801490189","https://openalex.org/W2999812538","https://openalex.org/W3102476541","https://openalex.org/W4206519735","https://openalex.org/W4239510810","https://openalex.org/W6609608704","https://openalex.org/W6623142447","https://openalex.org/W6686730675","https://openalex.org/W6713475711","https://openalex.org/W6736610077","https://openalex.org/W6746882383"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W2368524271"],"abstract_inverted_index":{"Identifying":[0],"the":[1,11,26,29,33,68,77,117],"travel":[2,30,143],"modes":[3,31],"people":[4],"use":[5,78],"on":[6],"their":[7,14,22],"daily":[8],"commute,":[9],"and":[10,32,109,120,146],"purpose":[12,150],"of":[13,21,28,35,79,127,140],"trips,":[15,36],"contributes":[16],"to":[17,61,67,101,115],"a":[18,80,137],"better":[19],"understanding":[20],"mobility":[23],"patterns.":[24],"Therefore,":[25],"detection":[27,145],"prediction":[34,151],"purposes":[37],"from":[38],"smartphone":[39,92],"sensors":[40],"data":[41],"emerged":[42],"as":[43],"two":[44],"research":[45],"problems":[46,56],"in":[47,57],"recent":[48],"years.":[49],"Most":[50],"previous":[51],"works":[52],"have":[53],"tackled":[54],"these":[55],"separate":[58],"studies,":[59],"leading":[60],"an":[62],"unnecessary":[63],"redundancy":[64],"with":[65,133],"respect":[66],"preprocessing":[69,82,99],"steps":[70,100],"taken.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"single":[81],"algorithm":[83],"for":[84,105,124,142,148],"both":[85,106],"problems,":[86],"using":[87,154],"location":[88],"traces":[89],"obtained":[90],"through":[91],"sensors.":[93],"The":[94],"proposed":[95],"technique":[96],"applies":[97],"multiple":[98],"extract":[102],"relevant":[103],"features":[104],"classification":[107],"tasks":[108],"uses":[110],"automated":[111],"machine":[112],"learning":[113],"methods":[114],"identify":[116],"best":[118],"classifiers":[119],"its":[121],"hyperparameter":[122],"configurations":[123],"each":[125],"one":[126],"them.":[128],"During":[129],"evaluation":[130],"experiments":[131],"conducted":[132],"real":[134],"smartphones":[135],"data,":[136],"maximum":[138],"accuracy":[139],"88%":[141],"mode":[144],"81%":[147],"trip":[149],"were":[152],"reached":[153],"our":[155],"technique.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
