{"id":"https://openalex.org/W3010070681","doi":"https://doi.org/10.1109/access.2020.2978530","title":"Traffic Data Imputation and Prediction: An Efficient Realization of Deep Learning","display_name":"Traffic Data Imputation and Prediction: An Efficient Realization of Deep Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010070681","doi":"https://doi.org/10.1109/access.2020.2978530","mag":"3010070681"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2978530","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2978530","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09025252.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/ielx7/6287639/8948470/09025252.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100680178","display_name":"Junhui Zhao","orcid":"https://orcid.org/0000-0001-5958-6622"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]},{"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":"Junhui Zhao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-5958-6622","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044675282","display_name":"Yiwen Nie","orcid":"https://orcid.org/0000-0003-1616-677X"},"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":"Yiwen Nie","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1616-677X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067910725","display_name":"Shanjin Ni","orcid":"https://orcid.org/0000-0003-1617-1640"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanjin Ni","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1617-1640","affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), Beijing, China","institution_ids":["https://openalex.org/I4210087772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022515398","display_name":"Xiaoke Sun","orcid":"https://orcid.org/0000-0003-2940-7026"},"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":"Xiaoke Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2940-7026","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3943,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.91794118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"46713","last_page":"46722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9944000244140625,"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/imputation","display_name":"Imputation (statistics)","score":0.8617527484893799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8003126382827759},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6884806752204895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6015423536300659},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5603353381156921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5354564189910889},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5188145041465759},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5034670233726501},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5033747553825378},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07853436470031738}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8617527484893799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003126382827759},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6884806752204895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6015423536300659},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5603353381156921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5354564189910889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5188145041465759},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5034670233726501},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5033747553825378},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07853436470031738}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2978530","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2978530","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09025252.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:d552306c199d4aa0b4d208eefcf69420","is_oa":true,"landing_page_url":"https://doaj.org/article/d552306c199d4aa0b4d208eefcf69420","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 46713-46722 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2978530","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2978530","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09025252.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/G1182001857","display_name":null,"funder_award_id":"2016ZX03001014-006","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G1960901239","display_name":null,"funder_award_id":"L182018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2109097378","display_name":null,"funder_award_id":"L182018","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5919350233","display_name":"\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u8f66\u8054\u7f51\u8d44\u6e90\u7ba1\u7406\u4f18\u5316\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61971191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8024879761","display_name":"\u9762\u5411\u9ad8\u94c1\u7684LTE-R\u63a5\u5165\u67b6\u6784\u548c\u7269\u7406\u5c42\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61661021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8789318182","display_name":null,"funder_award_id":"2017D14","funder_id":"https://openalex.org/F4320324856","funder_display_name":"Southeast University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320336270","display_name":"National Mobile Communications Research Laboratory, Southeast University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010070681.pdf","grobid_xml":"https://content.openalex.org/works/W3010070681.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1983479840","https://openalex.org/W2036785686","https://openalex.org/W2064675550","https://openalex.org/W2078019730","https://openalex.org/W2100358124","https://openalex.org/W2111991989","https://openalex.org/W2131819535","https://openalex.org/W2145039203","https://openalex.org/W2163150789","https://openalex.org/W2165991108","https://openalex.org/W2542806636","https://openalex.org/W2552464054","https://openalex.org/W2593182953","https://openalex.org/W2597948870","https://openalex.org/W2615319161","https://openalex.org/W2726858467","https://openalex.org/W2734024016","https://openalex.org/W2806832624","https://openalex.org/W2831930788","https://openalex.org/W2884531369","https://openalex.org/W2885178111","https://openalex.org/W2899160797","https://openalex.org/W2904175658","https://openalex.org/W2908849044","https://openalex.org/W2916664939","https://openalex.org/W2919394320","https://openalex.org/W2926585089","https://openalex.org/W2941466173","https://openalex.org/W2945761587","https://openalex.org/W2954039338","https://openalex.org/W2974087501","https://openalex.org/W2987734934","https://openalex.org/W2997478763","https://openalex.org/W6659849045","https://openalex.org/W6670010897"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"In":[0,40],"this":[1],"paper,":[2],"we":[3,20,86],"study":[4],"the":[5,11,27,38,54,58,65,75,83,92,107],"prediction":[6],"of":[7,13,35,67,77],"traffic":[8,55,78,97],"flow":[9,56,79,98],"in":[10,73],"presence":[12],"missing":[14,28,101],"information":[15],"from":[16,57],"data":[17,29,60,102],"set.":[18,61],"Specifically,":[19],"adopt":[21],"three":[22],"different":[23],"patterns":[24],"to":[25,52,95],"model":[26,44],"structure,":[30],"and":[31,104],"apply":[32],"two":[33],"types":[34],"approaches":[36],"for":[37,109],"imputation.":[39],"consequence,":[41],"a":[42,88,110],"forecasting":[43],"via":[45],"deep":[46,69],"learning":[47,70],"based":[48,71],"methods":[49,94],"is":[50],"proposed":[51],"predict":[53,96],"recovered":[59],"The":[62],"experiments":[63],"demonstrate":[64],"effectiveness":[66],"using":[68],"imputation":[72],"improving":[74],"accuracy":[76],"prediction.":[80],"Based":[81],"on":[82,91],"experimental":[84],"results,":[85],"conduct":[87],"thorough":[89],"discussion":[90],"appropriate":[93],"under":[99],"various":[100],"conditions,":[103],"thus":[105],"shedding":[106],"light":[108],"practical":[111],"design.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
