{"id":"https://openalex.org/W2997018269","doi":"https://doi.org/10.1109/tvt.2019.2962334","title":"Vehicle Detection and Classification Using Distributed Fiber Optic Acoustic Sensing","display_name":"Vehicle Detection and Classification Using Distributed Fiber Optic Acoustic Sensing","publication_year":2019,"publication_date":"2019-12-26","ids":{"openalex":"https://openalex.org/W2997018269","doi":"https://doi.org/10.1109/tvt.2019.2962334","mag":"2997018269"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2962334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2962334","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5061688099","display_name":"Huiyong Liu","orcid":"https://orcid.org/0000-0002-6311-4238"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyong Liu","raw_affiliation_strings":["Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6311-4238","affiliations":[{"raw_affiliation_string":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I4210127216","https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087471282","display_name":"Jihui Ma","orcid":"https://orcid.org/0000-0003-4812-9295"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihui Ma","raw_affiliation_strings":["Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4812-9295","affiliations":[{"raw_affiliation_string":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I4210127216","https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089843758","display_name":"Tuanwei Xu","orcid":"https://orcid.org/0000-0003-1128-0944"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tuanwei Xu","raw_affiliation_strings":["College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China","Key Laboratories of Transducer Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratories of Transducer Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I19820366","https://openalex.org/I4210149211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696622","display_name":"Wenfa Yan","orcid":"https://orcid.org/0000-0002-1630-5680"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfa Yan","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102390702","display_name":"Lilong Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107198","display_name":"State Key Laboratory of Transducer Technology","ror":"https://ror.org/01qg56n75","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210107198","https://openalex.org/I4210110458","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lilong Ma","raw_affiliation_strings":["College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China","Key Laboratories of Transducer Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratories of Transducer Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210107198","https://openalex.org/I19820366","https://openalex.org/I4210149211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101697345","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-2775-2355"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I4210127216","https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0247,"has_fulltext":false,"cited_by_count":165,"citation_normalized_percentile":{"value":0.97326066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"69","issue":"2","first_page":"1363","last_page":"1374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.993399977684021,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7044838666915894},{"id":"https://openalex.org/keywords/distributed-acoustic-sensing","display_name":"Distributed acoustic sensing","score":0.6583889722824097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5646750330924988},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5082520842552185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4757894277572632},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4688977301120758},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.46691182255744934},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4497969150543213},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4468268156051636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4402892291545868},{"id":"https://openalex.org/keywords/fiber-optic-sensor","display_name":"Fiber optic sensor","score":0.41255882382392883},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.25903230905532837},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.17703643441200256},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11706849932670593},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.08402571082115173}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7044838666915894},{"id":"https://openalex.org/C158543913","wikidata":"https://www.wikidata.org/wiki/Q5283133","display_name":"Distributed acoustic sensing","level":4,"score":0.6583889722824097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5646750330924988},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5082520842552185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4757894277572632},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4688977301120758},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.46691182255744934},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4497969150543213},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4468268156051636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4402892291545868},{"id":"https://openalex.org/C21651689","wikidata":"https://www.wikidata.org/wiki/Q1397427","display_name":"Fiber optic sensor","level":3,"score":0.41255882382392883},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.25903230905532837},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.17703643441200256},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11706849932670593},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.08402571082115173},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2019.2962334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2962334","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1904233916","display_name":null,"funder_award_id":"61775210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G587651574","display_name":null,"funder_award_id":"71621001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6709245595","display_name":null,"funder_award_id":"2017YFB0405500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7382294362","display_name":null,"funder_award_id":"61875184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W602307414","https://openalex.org/W1996058270","https://openalex.org/W1997314213","https://openalex.org/W2015559551","https://openalex.org/W2019493549","https://openalex.org/W2039541313","https://openalex.org/W2046816840","https://openalex.org/W2109896502","https://openalex.org/W2120010140","https://openalex.org/W2126321128","https://openalex.org/W2130211837","https://openalex.org/W2135289158","https://openalex.org/W2139737871","https://openalex.org/W2144082602","https://openalex.org/W2146625715","https://openalex.org/W2149276559","https://openalex.org/W2161610179","https://openalex.org/W2316517340","https://openalex.org/W2340899734","https://openalex.org/W2498789492","https://openalex.org/W2518481910","https://openalex.org/W2578636257","https://openalex.org/W2582510569","https://openalex.org/W2584046509","https://openalex.org/W2586934430","https://openalex.org/W2604445681","https://openalex.org/W2624553356","https://openalex.org/W2743685750","https://openalex.org/W2756111926","https://openalex.org/W2765221455","https://openalex.org/W2790647179","https://openalex.org/W2791448702","https://openalex.org/W2810809861","https://openalex.org/W2889166715","https://openalex.org/W2889769843","https://openalex.org/W2891720564","https://openalex.org/W2917452308","https://openalex.org/W2923501483","https://openalex.org/W2962714052","https://openalex.org/W2969597887","https://openalex.org/W6678620876","https://openalex.org/W6745160634"],"related_works":["https://openalex.org/W2944272757","https://openalex.org/W3097681567","https://openalex.org/W2027290004","https://openalex.org/W2103928448","https://openalex.org/W2889657643","https://openalex.org/W4311914264","https://openalex.org/W2368450671","https://openalex.org/W2951908300","https://openalex.org/W2086122870","https://openalex.org/W2607628582"],"abstract_inverted_index":{"This":[0,28,75],"paper":[1],"presents":[2],"a":[3,18,157,166],"vehicle":[4,42,102,106,111,137,152,174,191],"detection":[5,175],"and":[6,16,25,37,45,58,91,104,118,135,139,189],"classification":[7,20,150,192],"system":[8],"using":[9],"distributed":[10,67,84,167],"fiber-optic":[11,168],"acoustic":[12,49,68,169],"sensing":[13,29,78],"(DAS)":[14],"technology":[15,62,76],"describes":[17],"comprehensive":[19],"method":[21],"including":[22],"signal":[23,113,131],"processing":[24],"feature":[26,133],"extraction.":[27],"device":[30],"is":[31,38,126,154,177,185,194],"based":[32],"on":[33],"Rayleigh":[34],"scattering":[35],"light":[36],"used":[39,127],"for":[40,132],"real-time":[41],"detection,":[43],"classification,":[44],"speed":[46,140,182],"estimation.":[47],"Distributed":[48],"signals":[50,90,98],"from":[51,96],"an":[52],"arbitrary":[53],"point":[54],"can":[55,64],"be":[56],"detected":[57],"located":[59],"through":[60],"DAS":[61],"which":[63],"provide":[65],"fully":[66],"information":[69],"along":[70],"the":[71,81,97,101,110,115,130,136,149,173,181,190],"entire":[72],"fiber":[73,79],"link.":[74],"utilizes":[77],"in":[80],"form":[82],"of":[83,151],"sensors":[85],"to":[86,99,109,128],"collect":[87],"traffic":[88],"vibration":[89,112],"then":[92],"extracts":[93],"several":[94],"features":[95,145],"estimate":[100],"count":[103,138],"identify":[105],"categories.":[107],"According":[108],"characteristics,":[114],"wavelet-denoising":[116],"algorithm":[117,120,125],"dual-threshold":[119],"are":[121,141],"improved.":[122],"The":[123,162],"improved":[124],"reconstruct":[129],"extraction,":[134],"obtained.":[142],"When":[143],"all":[144],"have":[146],"been":[147],"extracted,":[148],"types":[153],"implemented":[155],"by":[156],"support":[158],"vector":[159],"machine":[160],"classifier.":[161],"validation":[163],"data":[164],"(using":[165],"sensor)":[170],"demonstrate":[171],"that":[172],"accuracy":[176,193],"higher":[178,195],"than":[179,187,196],"80%,":[180],"estimation":[183],"error":[184],"less":[186],"5%,":[188],"70%.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":50},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}