{"id":"https://openalex.org/W4286964335","doi":"https://doi.org/10.1109/tits.2022.3223084","title":"Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data","display_name":"Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4286964335","doi":"https://doi.org/10.1109/tits.2022.3223084"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3223084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3223084","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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03352810/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035572370","display_name":"Martijn van den Ende","orcid":"https://orcid.org/0000-0002-0634-7078"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Martijn van den Ende","raw_affiliation_strings":["OCA, UMR Lagrange, Université Côte d’Azur, Nice, France"],"raw_orcid":"https://orcid.org/0000-0002-0634-7078","affiliations":[{"raw_affiliation_string":"OCA, UMR Lagrange, Université Côte d’Azur, Nice, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andr\u00e9 Ferrari","orcid":"https://orcid.org/0000-0002-7297-7625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Ferrari","raw_affiliation_strings":["OCA, UMR Lagrange, Université Côte d’Azur, Nice, France"],"raw_orcid":"https://orcid.org/0000-0002-7297-7625","affiliations":[{"raw_affiliation_string":"OCA, UMR Lagrange, Université Côte d’Azur, Nice, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086653786","display_name":"Anthony Sladen","orcid":"https://orcid.org/0000-0003-4126-0020"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210166444","display_name":"Institut de Recherche pour le D\u00e9veloppement","ror":"https://ror.org/05q3vnk25","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1327553481","https://openalex.org/I154202486","https://openalex.org/I2799535048","https://openalex.org/I2802818602","https://openalex.org/I4210088668","https://openalex.org/I4210090127","https://openalex.org/I4210113730","https://openalex.org/I4210131494","https://openalex.org/I4210166444","https://openalex.org/I4405257220"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anthony Sladen","raw_affiliation_strings":["IRD, CNRS, Observatoire de la Côte d’Azur, Géoazur, Université Côte d’Azur, Valbonne, France"],"raw_orcid":"https://orcid.org/0000-0003-4126-0020","affiliations":[{"raw_affiliation_string":"IRD, CNRS, Observatoire de la Côte d’Azur, Géoazur, Université Côte d’Azur, Valbonne, France","institution_ids":["https://openalex.org/I4210166444","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009808175","display_name":"C\u00e9dric Richard","orcid":"https://orcid.org/0000-0003-2890-141X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C\u00e9dric Richard","raw_affiliation_strings":["OCA, UMR Lagrange, Université Côte d’Azur, Nice, France"],"raw_orcid":"https://orcid.org/0000-0003-2890-141X","affiliations":[{"raw_affiliation_string":"OCA, UMR Lagrange, Université Côte d’Azur, Nice, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035572370"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0789512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"3","first_page":"2947","last_page":"2962"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.4878999888896942,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.4878999888896942,"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/T11309","display_name":"Music and Audio Processing","score":0.08089999854564667,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.054499998688697815,"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/deconvolution","display_name":"Deconvolution","score":0.865065336227417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5084154009819031},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.49194857478141785},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38897204399108887},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3695194721221924},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3503679931163788},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3195117115974426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20943191647529602},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1860283613204956}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.865065336227417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5084154009819031},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.49194857478141785},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38897204399108887},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3695194721221924},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3503679931163788},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3195117115974426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20943191647529602},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1860283613204956}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tits.2022.3223084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3223084","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-03352810v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03352810","pdf_url":"https://hal.science/hal-03352810/document","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems, 2023, 24 (3), pp.2947-2962. ⟨10.1109/TITS.2022.3223084⟩","raw_type":"Journal articles"},{"id":"pmh:oai:figshare.com:article/16653163","is_oa":true,"landing_page_url":"https://figshare.com/articles/software/Deep_Deconvolution_for_Traffic_Analysis_with_Distributed_Acoustic_Sensing_Data/16653163","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Software"},{"id":"doi:10.6084/m9.figshare.16653163","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.16653163","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.6084/m9.figshare.16653163.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.16653163.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03352810v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03352810","pdf_url":"https://hal.science/hal-03352810/document","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems, 2023, 24 (3), pp.2947-2962. ⟨10.1109/TITS.2022.3223084⟩","raw_type":"Journal articles"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[{"id":"https://openalex.org/G2113015678","display_name":null,"funder_award_id":"ANR-19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8202435710","display_name":null,"funder_award_id":"19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4286964335.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1901129140","https://openalex.org/W2011301426","https://openalex.org/W2014490422","https://openalex.org/W2113638573","https://openalex.org/W2115706991","https://openalex.org/W2136398689","https://openalex.org/W2150117578","https://openalex.org/W2155722796","https://openalex.org/W2158252006","https://openalex.org/W2327371768","https://openalex.org/W2474579127","https://openalex.org/W2518481910","https://openalex.org/W2528618613","https://openalex.org/W2748113317","https://openalex.org/W2754661765","https://openalex.org/W2794374460","https://openalex.org/W2809685438","https://openalex.org/W2889769843","https://openalex.org/W2895786783","https://openalex.org/W2913828577","https://openalex.org/W2955730146","https://openalex.org/W2993286645","https://openalex.org/W2995810525","https://openalex.org/W3003257820","https://openalex.org/W3007315419","https://openalex.org/W3022288623","https://openalex.org/W3022590026","https://openalex.org/W3025614384","https://openalex.org/W3035965352","https://openalex.org/W3045022196","https://openalex.org/W3046277046","https://openalex.org/W3046358445","https://openalex.org/W3081922473","https://openalex.org/W3082413624","https://openalex.org/W3094622157","https://openalex.org/W3097332801","https://openalex.org/W3126257219","https://openalex.org/W3137013935","https://openalex.org/W3145517301","https://openalex.org/W3159939058","https://openalex.org/W3175935851","https://openalex.org/W4289550194","https://openalex.org/W6746023985","https://openalex.org/W6803939363"],"related_works":["https://openalex.org/W2144260227","https://openalex.org/W21186435","https://openalex.org/W2154927341","https://openalex.org/W2573558880","https://openalex.org/W1991775054","https://openalex.org/W1972229459","https://openalex.org/W2278304863","https://openalex.org/W2082029676","https://openalex.org/W2093972493","https://openalex.org/W2093113882"],"abstract_inverted_index":{"Distributed":[0],"Acoustic":[1],"Sensing":[2],"(DAS)":[3],"is":[4],"a":[5,60,74,112,133,167],"novel":[6],"vibration":[7],"sensing":[8],"technology":[9,62],"that":[10,117,139],"can":[11],"be":[12,59],"employed":[13],"to":[14,18,58,69,131,149,166,178],"detect":[15],"vehicles":[16],"and":[17,94,107,153],"analyse":[19],"traffic":[20,39,52,78,169],"flows":[21],"using":[22],"existing":[23],"telecommunication":[24],"cables.":[25],"DAS":[26,57,89,126,143,183],"therefore":[27],"has":[28],"great":[29],"potential":[30,86],"in":[31,54,63,186],"future":[32],"\u201csmart":[33],"city\u201d":[34],"developments,":[35],"such":[36],"as":[37,132],"real-time":[38],"incident":[40],"detection.":[41],"Though":[42],"previous":[43],"studies":[44],"have":[45],"considered":[46],"vehicle":[47],"detection":[48,66,93,108,154],"under":[49,73],"relatively":[50],"light":[51],"conditions,":[53],"order":[55],"for":[56,90],"feasible":[61],"real-world":[64],"scenarios,":[65],"algorithms":[67],"need":[68],"also":[70],"perform":[71],"robustly":[72],"wide":[75],"range":[76],"of":[77,87,96,99,141,174,182],"conditions.":[79],"In":[80],"this":[81],"study":[82],"we":[83,110,129],"investigate":[84],"the":[85,91,97,104,119,125,142,157,172],"roadside":[88],"simultaneous":[92],"characterisation":[95],"velocity":[98],"individual":[100],"vehicles.":[101],"To":[102],"improve":[103],"temporal":[105,151],"resolution":[106,152],"accuracy,":[109],"propose":[111],"self-supervised":[113],"Deep":[114],"Learning":[115],"approach":[116],"deconvolves":[118],"characteristic":[120],"car":[121],"impulse":[122],"response":[123],"from":[124],"data,":[127,184],"which":[128],"refer":[130],"Deconvolution":[134],"Auto-Encoder":[135],"(DAE).":[136],"We":[137,161],"show":[138],"deconvolution":[140],"data":[144],"with":[145],"our":[146,164,175],"DAE":[147,165],"leads":[148],"better":[150],"performance":[155],"than":[156],"original":[158],"(non-deconvolved)":[159],"data.":[160],"subsequently":[162],"apply":[163],"24-hour":[168],"cycle,":[170],"demonstrating":[171],"feasibility":[173],"proposed":[176],"method":[177],"process":[179],"large":[180],"volumes":[181],"potentially":[185],"near-real":[187],"time.":[188]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-07-25T00:00:00"}