{"id":"https://openalex.org/W2949776392","doi":"https://doi.org/10.1109/access.2019.2923795","title":"Multi-Feature Fusion: A Driver-Car Matching Model Based on Curve Comparison","display_name":"Multi-Feature Fusion: A Driver-Car Matching Model Based on Curve Comparison","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949776392","doi":"https://doi.org/10.1109/access.2019.2923795","mag":"2949776392"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2923795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740866.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740866.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069135682","display_name":"Xianwei Meng","orcid":"https://orcid.org/0000-0001-8253-1785"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianwei Meng","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031351839","display_name":"Hao Fu","orcid":"https://orcid.org/0000-0002-1791-3311"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1791-3311","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015586553","display_name":"Guiquan Liu","orcid":"https://orcid.org/0000-0003-0653-3935"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiquan Liu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080798381","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-6447-2053"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Institute of Bio-inspired Intelligence and Mining Knowledge, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6447-2053","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Institute of Bio-inspired Intelligence and Mining Knowledge, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458530","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0002-8209-2898"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101607897","display_name":"Weiyi Hu","orcid":"https://orcid.org/0000-0002-5131-8049"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyi Hu","raw_affiliation_strings":["Department of Applied Mathematics, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065434394","display_name":"Enhong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Cheng","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5069135682"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2198,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54450727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"83526","last_page":"83535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11106","display_name":"Data Management and Algorithms","score":0.9976000189781189,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7499970197677612},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5592736005783081},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.5498780608177185},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5029496550559998},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.49282053112983704},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47780758142471313},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4557097554206848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40176093578338623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3477170467376709},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3306235671043396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15812265872955322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1442028284072876},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11839306354522705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499970197677612},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5592736005783081},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.5498780608177185},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5029496550559998},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.49282053112983704},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47780758142471313},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4557097554206848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40176093578338623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3477170467376709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3306235671043396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15812265872955322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1442028284072876},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11839306354522705},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2923795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740866.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:be47284770794b69ae2ced78b7b194d7","is_oa":false,"landing_page_url":"https://doaj.org/article/be47284770794b69ae2ced78b7b194d7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 83526-83535 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2923795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08740866.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1768092093","display_name":null,"funder_award_id":"2018YFC0832101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7294903002","display_name":null,"funder_award_id":"2018YFC0832101","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/F4320325599","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949776392.pdf","grobid_xml":"https://content.openalex.org/works/W2949776392.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1801564529","https://openalex.org/W1999272835","https://openalex.org/W2028344184","https://openalex.org/W2084404970","https://openalex.org/W2113530345","https://openalex.org/W2124299914","https://openalex.org/W2250447163","https://openalex.org/W2885243508","https://openalex.org/W2910757983","https://openalex.org/W2914004287","https://openalex.org/W4212883601","https://openalex.org/W4256197727","https://openalex.org/W4297944103","https://openalex.org/W6638278518"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W2384744344","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W4242143973"],"abstract_inverted_index":{"With":[0],"the":[1,4,20,23,37,43,80,83,88,91,122,130,137,142,147,153,159,164,167,170,174,197,202],"development":[2,25],"of":[3,19,26,40,79,82,124,134,141,161],"mobile":[5,139],"Internet,":[6],"novel":[7],"things":[8],"are":[9],"constantly":[10],"emerging,":[11],"and":[12,34,48,63,127,136,156,166,183,206],"among":[13],"them,":[14,173],"online":[15,27],"car-hailing":[16,28],"is":[17,42,149],"one":[18,78],"representatives.":[21],"However,":[22,74],"rapid":[24],"also":[29],"brings":[30],"about":[31],"normative":[32],"problems":[33],"safety":[35],"loophole,":[36],"most":[38],"prominent":[39],"which":[41,96,120],"inconsistency":[44],"between":[45,93,163,204],"operating":[46],"cars":[47],"registered":[49,154],"drivers.":[50],"Some":[51],"existing":[52],"algorithms":[53,179],"based":[54,112],"on":[55,102,113],"curve":[56,114],"similarity":[57],"measurements,":[58],"such":[59,86],"as":[60,87],"Hausdorff":[61],"distance":[62,89],"discrete":[64],"Fr\u00e9chet":[65],"distance,":[66,126],"can":[67,199],"be":[68],"used":[69],"to":[70,144],"solve":[71],"this":[72,103,106],"problem.":[73,104],"they":[75],"only":[76],"consider":[77],"characteristics":[81],"two":[84,94],"curves,":[85,95],"or":[90],"area":[92,128],"does":[97],"not":[98],"achieve":[99],"good":[100],"results":[101,194],"On":[105],"ground,":[107],"we":[108],"propose":[109],"a":[110],"model":[111,176,198],"comparison,":[115],"named":[116],"multi-feature":[117],"fusion":[118],"(MFF),":[119],"extracts":[121],"features":[123,182,186],"length,":[125],"from":[129],"GPS":[131],"positioning":[132],"track":[133],"car":[135,148,168],"application":[138],"phone":[140],"driver,":[143],"testify":[145],"whether":[146],"being":[150],"operated":[151],"by":[152,187],"driver":[155,165],"thus":[157],"solving":[158],"problem":[160],"mismatch":[162,203],"during":[169],"operation.":[171],"Among":[172],"MFF":[175],"designs":[177],"different":[178,181,185],"for":[180],"fuses":[184],"an":[188],"ensemble":[189],"learning":[190],"method.":[191],"The":[192],"experimental":[193],"prove":[195],"that":[196],"effectively":[200],"detect":[201],"drivers":[205],"cars.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}