{"id":"https://openalex.org/W2793527938","doi":"https://doi.org/10.1109/tits.2018.2797065","title":"Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches","display_name":"Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches","publication_year":2018,"publication_date":"2018-02-16","ids":{"openalex":"https://openalex.org/W2793527938","doi":"https://doi.org/10.1109/tits.2018.2797065","mag":"2793527938"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2018.2797065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2797065","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/A5031271577","display_name":"Ferhat Attal","orcid":"https://orcid.org/0000-0003-1668-7620"},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]},{"id":"https://openalex.org/I4210093196","display_name":"Sirius University of Science and Technology","ror":"https://ror.org/00n51jg89","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210093196"]},{"id":"https://openalex.org/I4394709122","display_name":"Laboratoire Images, signaux et syst\u00e8mes intelligents","ror":"https://ror.org/00w0hef10","country_code":null,"type":"facility","lineage":["https://openalex.org/I197681013","https://openalex.org/I4394709122"]}],"countries":["FR","RU"],"is_corresponding":false,"raw_author_name":"Ferhat Attal","raw_affiliation_strings":["Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Vitry-Sur-Seine, France","Laboratoire Images, Signaux et Syst\u00e8mes Intelligents","SIRIUS"],"raw_orcid":"https://orcid.org/0000-0003-1668-7620","affiliations":[{"raw_affiliation_string":"Laboratory of Images, Signals and Intelligent Systems, University of Paris-Est Cr\u00e9teil, Vitry-Sur-Seine, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]},{"raw_affiliation_string":"Laboratoire Images, Signaux et Syst\u00e8mes Intelligents","institution_ids":["https://openalex.org/I4394709122"]},{"raw_affiliation_string":"SIRIUS","institution_ids":["https://openalex.org/I4210093196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021120224","display_name":"Abderrahmane Boubezoul","orcid":"https://orcid.org/0000-0003-3967-1242"},"institutions":[{"id":"https://openalex.org/I4210160945","display_name":"Laboratoire Mod\u00e9lisation et Simulation Multi-Echelle","ror":"https://ror.org/04rrzfd14","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I197681013","https://openalex.org/I4210095849","https://openalex.org/I4210154111","https://openalex.org/I4210160945"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abderrahmane Boubezoul","raw_affiliation_strings":["UPE-IFSTTAR/TS2/SIMU&MOTO, Marne la Vall\u00e9e Cedex, France","Simu&Moto"],"raw_orcid":"https://orcid.org/0000-0003-3967-1242","affiliations":[{"raw_affiliation_string":"UPE-IFSTTAR/TS2/SIMU&MOTO, Marne la Vall\u00e9e Cedex, France","institution_ids":["https://openalex.org/I4210160945"]},{"raw_affiliation_string":"Simu&Moto","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076973948","display_name":"Allou Sam\u00e9","orcid":"https://orcid.org/0000-0003-1531-6019"},"institutions":[{"id":"https://openalex.org/I4210143894","display_name":"Laboratoire d'Automatique, G\u00e9nie Informatique et Signal","ror":"https://ror.org/04wez4p43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I4210131494","https://openalex.org/I4210137101","https://openalex.org/I4210139971","https://openalex.org/I4210143894","https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Allou Same","raw_affiliation_strings":["UPE-IFSTTAR/COSYS/GRETTIA, Marne la Vall\u00e9e Cedex, France","G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPE-IFSTTAR/COSYS/GRETTIA, Marne la Vall\u00e9e Cedex, France","institution_ids":[]},{"raw_affiliation_string":"G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e","institution_ids":["https://openalex.org/I4210143894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029516915","display_name":"Latifa Oukhellou","orcid":"https://orcid.org/0000-0002-5193-1732"},"institutions":[{"id":"https://openalex.org/I4210143894","display_name":"Laboratoire d'Automatique, G\u00e9nie Informatique et Signal","ror":"https://ror.org/04wez4p43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I2279609970","https://openalex.org/I4210131494","https://openalex.org/I4210137101","https://openalex.org/I4210139971","https://openalex.org/I4210143894","https://openalex.org/I7454413"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Latifa Oukhellou","raw_affiliation_strings":["UPE-IFSTTAR/COSYS/GRETTIA, Marne la Vall\u00e9e Cedex, France","G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e"],"raw_orcid":"https://orcid.org/0000-0002-5193-1732","affiliations":[{"raw_affiliation_string":"UPE-IFSTTAR/COSYS/GRETTIA, Marne la Vall\u00e9e Cedex, France","institution_ids":[]},{"raw_affiliation_string":"G\u00e9nie des R\u00e9seaux de Transport Terrestres et Informatique Avanc\u00e9e","institution_ids":["https://openalex.org/I4210143894"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033376856","display_name":"St\u00e9phane Espi\u00e9","orcid":"https://orcid.org/0000-0002-3449-8279"},"institutions":[{"id":"https://openalex.org/I4210160945","display_name":"Laboratoire Mod\u00e9lisation et Simulation Multi-Echelle","ror":"https://ror.org/04rrzfd14","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I197681013","https://openalex.org/I4210095849","https://openalex.org/I4210154111","https://openalex.org/I4210160945"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stephane Espie","raw_affiliation_strings":["UPE-IFSTTAR/TS2/SIMU&MOTO, Marne la Vall\u00e9e Cedex, France","Simu&Moto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPE-IFSTTAR/TS2/SIMU&MOTO, Marne la Vall\u00e9e Cedex, France","institution_ids":["https://openalex.org/I4210160945"]},{"raw_affiliation_string":"Simu&Moto","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.2089,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84799845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"19","issue":"12","first_page":"4011","last_page":"4022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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":0.9979000091552734,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9945999979972839,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9805999994277954,"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/computer-science","display_name":"Computer science","score":0.5773159265518188},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5692253112792969},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5559250116348267},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.504743218421936},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4906212389469147},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46967917680740356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46825867891311646},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4128507673740387},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37695324420928955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36786264181137085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3459306061267853},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14018893241882324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5773159265518188},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5692253112792969},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5559250116348267},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.504743218421936},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4906212389469147},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46967917680740356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46825867891311646},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4128507673740387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37695324420928955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36786264181137085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3459306061267853},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14018893241882324},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2018.2797065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2797065","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"},{"id":"pmh:oai:HAL:hal-01889113v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01889113","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems, 2018, 19 (12), pp 4011-4022. &#x27E8;10.1109/TITS.2018.2797065&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W81646586","https://openalex.org/W606885937","https://openalex.org/W623469815","https://openalex.org/W636633790","https://openalex.org/W1481286075","https://openalex.org/W1564957833","https://openalex.org/W1964117673","https://openalex.org/W1974762721","https://openalex.org/W1975061413","https://openalex.org/W1982938318","https://openalex.org/W1985265834","https://openalex.org/W2009709554","https://openalex.org/W2030190529","https://openalex.org/W2030490597","https://openalex.org/W2049642487","https://openalex.org/W2059400161","https://openalex.org/W2091208808","https://openalex.org/W2122646361","https://openalex.org/W2132824401","https://openalex.org/W2143253193","https://openalex.org/W2188918180","https://openalex.org/W2903718010","https://openalex.org/W3152290665","https://openalex.org/W4242320705","https://openalex.org/W4255346230","https://openalex.org/W6619664603","https://openalex.org/W6620380396","https://openalex.org/W6681400921"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2009888974","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W4384517610","https://openalex.org/W4288389100","https://openalex.org/W1902800522","https://openalex.org/W2339469482"],"abstract_inverted_index":{"Driving":[0],"errors":[1],"are":[2],"considered":[3],"to":[4,97,124,209,261],"be":[5],"the":[6,26,29,45,59,73,76,98,108,115,142,147,151,174,210,224,276],"greatest":[7],"contributory":[8,17],"cause":[9,18],"in":[10,44,64,72,92,136,141,172,202],"all":[11],"road":[12,77],"accidents":[13],"and":[14,57,100,144,153,168,180,186,197],"an":[15,69,246],"important":[16,70],"of":[19,31,47,61,75,102,111,138,146,178,265,278],"most":[20],"fatal":[21],"accidents.":[22],"This":[23,237],"is":[24,68,95],"particularly":[25],"case":[27],"for":[28,85,253],"users":[30],"powered":[32],"two-wheeled":[33],"vehicles":[34],"(PTWs),":[35],"perhaps":[36],"because":[37],"PTW":[38,86],"riders":[39],"play":[40],"a":[41,65,82,165,189,199,262,268],"greater":[42],"role":[43],"control":[46,240],"their":[48],"vehicles'":[49],"stability":[50],"than":[51],"four-wheeled":[52],"vehicle":[53],"drivers.":[54],"Thus,":[55],"observing":[56],"analyzing":[58],"evolution":[60],"riders'":[62],"behavior":[63],"real-life":[66,269],"context":[67],"step":[71,171,201],"identification":[74,101],"environment":[78],"characteristics":[79],"that":[80,248],"constitute":[81],"risk":[83],"factor":[84],"riders.":[87],"A":[88],"relevant":[89],"research":[90],"issue":[91],"naturalistic":[93],"studies":[94],"related":[96],"detection":[99],"critical":[103,128],"riding":[104,129,212],"events":[105],"from":[106,267],"among":[107],"vast":[109],"amount":[110],"data":[112,166,183,266],"recorded":[113],"during":[114],"experiment.":[116,271],"In":[117],"this":[118,134,158],"paper,":[119],"two":[120,160,257],"approaches":[121],"were":[122,162,184,259],"used":[123,239],"automatically":[125],"detect":[126],"such":[127],"events.":[130],"First,":[131],"we":[132],"formalized":[133],"problem":[135],"terms":[137],"detecting":[139],"changes":[140],"mean":[143],"variance":[145],"signals":[148],"generated":[149],"by":[150],"acceleration":[152],"angular":[154,181],"velocity":[155,182],"sensors.":[156],"For":[157],"purpose,":[159],"steps":[161],"performed:":[163],"(1)":[164],"segmentation":[167],"feature":[169],"extraction":[170],"which":[173,203],"multidimensional":[175],"time":[176],"series":[177],"accelerometer":[179],"segmented":[185],"modeled":[187],"using":[188,223],"Gaussian":[190],"mixture":[191],"model":[192],"with":[193],"quadratic":[194],"logistic":[195],"proportions;":[196],"(2)":[198],"classification":[200],"each":[204],"detected":[205],"segment":[206],"was":[207,231],"assigned":[208],"appropriate":[211],"sequence,":[213],"whether":[214],"\u201cnaturalistic\u201d":[215],"or":[216,220],"\u201ccritical\u201d":[217],"(i.e.,":[218],"fall":[219,235],"near":[221],"fall),":[222],"k-nearest":[225],"neighbor":[226],"algorithm.":[227],"The":[228,272],"second":[229],"approach":[230,247],"based":[232],"on":[233],"online":[234],"detection.":[236,255],"methodology":[238],"charts":[241],"(a":[242],"multivariate":[243],"cumulative":[244],"sum),":[245],"has":[249],"been":[250],"traditionally":[251],"employed":[252],"sequential":[254],"These":[256],"algorithms":[258],"applied":[260],"database":[263],"composed":[264],"driving":[270],"obtained":[273],"results":[274],"show":[275],"effectiveness":[277],"both":[279],"methodologies.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
