{"id":"https://openalex.org/W2591480565","doi":"https://doi.org/10.1109/tits.2017.2662483","title":"Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation","display_name":"Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation","publication_year":2017,"publication_date":"2017-02-21","ids":{"openalex":"https://openalex.org/W2591480565","doi":"https://doi.org/10.1109/tits.2017.2662483","mag":"2591480565"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2017.2662483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2017.2662483","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/A5004701993","display_name":"Luis C. Gonz\u00e1lez","orcid":"https://orcid.org/0000-0003-1546-9752"},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis C. Gonzalez","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-1546-9752","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico","institution_ids":["https://openalex.org/I142652706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111887309","display_name":"Ricardo Moreno","orcid":null},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ricardo Moreno","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico","institution_ids":["https://openalex.org/I142652706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076464455","display_name":"Hugo Jair Escalante","orcid":"https://orcid.org/0000-0003-4603-3513"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Hugo Jair Escalante","raw_affiliation_strings":["\u00d3ptica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00d3ptica y Electr\u00f3nica, Instituto Nacional de Astrof\u00edsica, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073284119","display_name":"Fernando Mart\u00ednez","orcid":"https://orcid.org/0000-0002-6607-7559"},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Fernando Martinez","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico","institution_ids":["https://openalex.org/I142652706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082330068","display_name":"M. Ricardo Carlos","orcid":"https://orcid.org/0000-0002-6533-9860"},"institutions":[{"id":"https://openalex.org/I142652706","display_name":"Autonomous University of Chihuahua","ror":"https://ror.org/04mrrw205","country_code":"MX","type":"education","lineage":["https://openalex.org/I142652706"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Manuel Ricardo Carlos","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Chihuahua, Chihuahua, Mexico","institution_ids":["https://openalex.org/I142652706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9845,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.961187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":"11","first_page":"2916","last_page":"2928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9958999752998352,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7268743515014648},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7142324447631836},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6684064865112305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6165584921836853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5334807634353638},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.4824941158294678},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4805186688899994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44841140508651733},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.44374001026153564},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4248828887939453},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39233365654945374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268743515014648},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7142324447631836},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6684064865112305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6165584921836853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5334807634353638},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.4824941158294678},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4805186688899994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44841140508651733},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.44374001026153564},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4248828887939453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39233365654945374},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2017.2662483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2017.2662483","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G5313978171","display_name":null,"funder_award_id":"CB2014-241306","funder_id":"https://openalex.org/F4320324348","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda, Guatemala"}],"funders":[{"id":"https://openalex.org/F4320324348","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda, Guatemala","ror":"https://ror.org/03pr08s76"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W122027533","https://openalex.org/W173492641","https://openalex.org/W188024176","https://openalex.org/W608796073","https://openalex.org/W1491468544","https://openalex.org/W1977324115","https://openalex.org/W1981982281","https://openalex.org/W2030833325","https://openalex.org/W2034411841","https://openalex.org/W2049834260","https://openalex.org/W2092674711","https://openalex.org/W2097575504","https://openalex.org/W2101234009","https://openalex.org/W2129270900","https://openalex.org/W2131846894","https://openalex.org/W2140242197","https://openalex.org/W2141536962","https://openalex.org/W2144169341","https://openalex.org/W2168463792","https://openalex.org/W2170581891","https://openalex.org/W2464088379","https://openalex.org/W2487770199","https://openalex.org/W2548212388","https://openalex.org/W3153852244","https://openalex.org/W4248880341","https://openalex.org/W4285719527","https://openalex.org/W6604828220","https://openalex.org/W6607112718","https://openalex.org/W6618773551","https://openalex.org/W6629220010","https://openalex.org/W6675354045","https://openalex.org/W6793633177"],"related_works":["https://openalex.org/W2003125512","https://openalex.org/W2563096758","https://openalex.org/W4313488044","https://openalex.org/W1996541855","https://openalex.org/W4386053843","https://openalex.org/W1987859285","https://openalex.org/W3158004940","https://openalex.org/W1542204591","https://openalex.org/W2972035100","https://openalex.org/W1603338211"],"abstract_inverted_index":{"Accurately":[0],"classifying":[1],"roadway":[2],"surface":[3],"disruptions":[4],"(RSDs)":[5],"plays":[6],"a":[7,51,70,103,201,250],"crucial":[8],"role":[9,72],"to":[10,27,73,204],"enhance":[11],"quality":[12],"transportation":[13],"and":[14,107,119,126,241],"road":[15,29],"safety.":[16],"To":[17,109],"this":[18,40,115],"end,":[19],"smartphones":[20,94],"are":[21,48],"becoming":[22],"an":[23],"ad":[24],"hoc":[25],"tool":[26],"collect":[28],"data,":[30],"while":[31],"the":[32,36,43,56,93,110,117,134,158,184,188,206,209,215,220,226,229,238,243],"user":[33],"is":[34,116],"at":[35,98],"steering":[37],"wheel.":[38],"In":[39],"paper,":[41],"for":[42,124,246],"first":[44],"time,":[45],"sensed":[46],"data":[47,84,122,165,172,252],"represented":[49],"with":[50,225],"novel":[52,83],"technique":[53,217],"inspired":[54],"in":[55,89,163,175,181,233,249],"bag":[57],"of":[58,66,77,105,112,136,141,150,160,168,208,228,236],"words":[59],"representation.":[60],"New":[61],"results":[62,190,212],"suggest":[63],"that":[64,180,214],"segments":[65],"accelerometer":[67],"readings":[68],"play":[69],"key":[71],"characterize":[74],"different":[75],"classes":[76],"events,":[78],"boosting":[79],"classification":[80,221,244],"performance.":[81],"A":[82],"collection":[85],"process":[86],"was":[87,197],"conducted":[88],"real-life":[90],"environments,":[91],"where":[92,144],"were":[95],"freely":[96],"placed":[97],"five":[99],"user-surveyed":[100],"locations,":[101],"within":[102],"fleet":[104],"cars":[106],"trucks.":[108],"best":[111,185,189],"our":[113],"knowledge,":[114],"largest":[118],"most":[120,149,167],"heterogenous":[121],"set":[123],"RSDs,":[125],"we":[127,145],"make":[128],"it":[129],"publicly":[130],"available.":[131],"We":[132,155,178],"approach":[133],"problem":[135],"identifying":[137],"RSDs":[138],"as":[139],"one":[140,234],"supervised":[142],"learning,":[143],"contrast":[146],"representative":[147],"classifiers,":[148],"them":[151,169],"not":[152],"previously":[153],"reported.":[154],"exhaustively":[156],"evaluated":[157,199],"performance":[159,222],"all":[161,182],"classifiers":[162],"six":[164],"sets,":[166],"resembling":[170],"actual":[171],"sets":[173],"used":[174],"similar":[176],"projects.":[177],"found":[179],"cases,":[183],"classifier":[186],"outperforms":[187],"reported":[191],"so":[192],"far.":[193],"The":[194],"proposed":[195],"methodology":[196],"extensively":[198],"through":[200],"sensitivity":[202],"analysis":[203],"determine":[205],"relevance":[207],"parameters.":[210],"Experimental":[211],"reveal":[213],"representation":[216],"boosts":[218],"considerably":[219],"when":[223],"compared":[224],"state":[227],"art":[230],"solutions,":[231],"reducing":[232],"order":[235],"magnitude":[237],"false-positives/negatives":[239],"rate":[240],"surpassing":[242],"accuracy":[245],"about":[247],"10%":[248],"multiclass":[251],"set.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
