{"id":"https://openalex.org/W2987656958","doi":"https://doi.org/10.1109/tvt.2019.2954094","title":"Flight Delay Prediction Based on Aviation Big Data and Machine Learning","display_name":"Flight Delay Prediction Based on Aviation Big Data and Machine Learning","publication_year":2019,"publication_date":"2019-11-18","ids":{"openalex":"https://openalex.org/W2987656958","doi":"https://doi.org/10.1109/tvt.2019.2954094","mag":"2987656958"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2954094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2954094","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/A5027367677","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guan Gui","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371038","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0002-5299-9317"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052697795","display_name":"Jinlong Sun","orcid":"https://orcid.org/0000-0002-3373-2203"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Sun","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384175","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-5019-6393"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040545966","display_name":"Ziqi Zhou","orcid":"https://orcid.org/0000-0002-0861-1805"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Zhou","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114950239","display_name":"Dongxu Zhao","orcid":"https://orcid.org/0009-0003-9004-5367"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxu Zhao","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027367677"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":317.9648,"has_fulltext":false,"cited_by_count":340,"citation_normalized_percentile":{"value":0.99989819,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"69","issue":"1","first_page":"140","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11489","display_name":"Air Traffic Management and Optimization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.879767894744873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6657690405845642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.663561224937439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6270455121994019},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5531432628631592},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5294268727302551},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.5065642595291138},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5025656223297119},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4966445565223694},{"id":"https://openalex.org/keywords/aviation-accident","display_name":"Aviation accident","score":0.4668128490447998},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4648880362510681},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44908660650253296},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4388974606990814},{"id":"https://openalex.org/keywords/branch-predictor","display_name":"Branch predictor","score":0.41796523332595825},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.41332173347473145},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41230806708335876},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.41219645738601685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3959995210170746},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23029202222824097},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20091497898101807},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11147844791412354}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.879767894744873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6657690405845642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.663561224937439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6270455121994019},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5531432628631592},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5294268727302551},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.5065642595291138},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5025656223297119},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4966445565223694},{"id":"https://openalex.org/C2908613842","wikidata":"https://www.wikidata.org/wiki/Q108284447","display_name":"Aviation accident","level":3,"score":0.4668128490447998},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4648880362510681},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44908660650253296},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4388974606990814},{"id":"https://openalex.org/C168522837","wikidata":"https://www.wikidata.org/wiki/Q679552","display_name":"Branch predictor","level":2,"score":0.41796523332595825},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.41332173347473145},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41230806708335876},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.41219645738601685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3959995210170746},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23029202222824097},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20091497898101807},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11147844791412354},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2019.2954094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2954094","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/G8919277133","display_name":null,"funder_award_id":"61901228","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/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2060679763","https://openalex.org/W2089296357","https://openalex.org/W2118023920","https://openalex.org/W2118756516","https://openalex.org/W2226542185","https://openalex.org/W2566425973","https://openalex.org/W2566619632","https://openalex.org/W2580347120","https://openalex.org/W2602948783","https://openalex.org/W2606436201","https://openalex.org/W2716009774","https://openalex.org/W2746722496","https://openalex.org/W2753941074","https://openalex.org/W2767186681","https://openalex.org/W2769323953","https://openalex.org/W2785927985","https://openalex.org/W2803418695","https://openalex.org/W2808769300","https://openalex.org/W2895760214","https://openalex.org/W2896666719","https://openalex.org/W2897180133","https://openalex.org/W2897290146","https://openalex.org/W2897997731","https://openalex.org/W2902897529","https://openalex.org/W2904653841","https://openalex.org/W2905428925","https://openalex.org/W2906432092","https://openalex.org/W2906647810","https://openalex.org/W2907780987","https://openalex.org/W2909191390","https://openalex.org/W2916238263","https://openalex.org/W2919467785","https://openalex.org/W2924948991","https://openalex.org/W2931881019","https://openalex.org/W2943596013","https://openalex.org/W2953596346","https://openalex.org/W2953948844","https://openalex.org/W2973209754","https://openalex.org/W2981598692","https://openalex.org/W3100862578","https://openalex.org/W6757884402","https://openalex.org/W7036835920"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W3099518927","https://openalex.org/W3162172987"],"abstract_inverted_index":{"Accurate":[0],"flight":[1,26,55,66,95],"delay":[2,67],"prediction":[3,32,68,102,150],"is":[4,120],"fundamental":[5],"to":[6,23],"establish":[7],"the":[8,25,30,54,75,124,139,142,154,160],"more":[9],"efficient":[10],"airline":[11],"business.":[12],"Recent":[13],"studies":[14],"have":[15],"been":[16],"focused":[17],"on":[18],"applying":[19],"machine":[20,60],"learning":[21],"methods":[22,33],"predict":[24],"delay.":[27],"Most":[28],"of":[29,48,122],"previous":[31,140],"are":[34,83],"conducted":[35],"in":[36,63,133],"a":[37,45,72,109],"single":[38],"route":[39],"or":[40],"airport.":[41],"This":[42],"paper":[43],"explores":[44],"broader":[46],"scope":[47],"factors":[49],"which":[50],"may":[51],"potentially":[52],"influence":[53],"delay,":[56],"and":[57,86,97,108,157],"compares":[58],"several":[59],"learning-based":[61],"models":[62],"designed":[64,101],"generalized":[65],"tasks.":[69],"To":[70],"build":[71],"dataset":[73],"for":[74,153],"proposed":[76,143],"scheme,":[77],"automatic":[78],"dependent":[79],"surveillance-broadcast":[80],"(ADS-B)":[81],"messages":[82],"received,":[84],"pre-processed,":[85],"integrated":[87],"with":[88,138],"other":[89],"information":[90],"such":[91],"as":[92],"weather":[93],"condition,":[94],"schedule,":[96],"airport":[98],"information.":[99],"The":[100],"tasks":[103,107],"contain":[104],"different":[105],"classification":[106],"regression":[110],"task.":[111],"Experimental":[112],"results":[113],"show":[114],"that":[115],"long":[116],"short-term":[117],"memory":[118],"(LSTM)":[119],"capable":[121],"handling":[123],"obtained":[125],"aviation":[126],"sequence":[127],"data,":[128],"but":[129],"overfitting":[130,161],"problem":[131],"occurs":[132],"our":[134],"limited":[135],"dataset.":[136],"Compared":[137],"schemes,":[141],"random":[144],"forest-based":[145],"model":[146],"can":[147,158],"obtain":[148],"higher":[149],"accuracy":[151],"(90.2%":[152],"binary":[155],"classification)":[156],"overcome":[159],"problem.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":52},{"year":2023,"cited_by_count":71},{"year":2022,"cited_by_count":45},{"year":2021,"cited_by_count":51},{"year":2020,"cited_by_count":73},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}