{"id":"https://openalex.org/W4312704766","doi":"https://doi.org/10.1109/tits.2022.3219923","title":"FlightBERT: Binary Encoding Representation for Flight Trajectory Prediction","display_name":"FlightBERT: Binary Encoding Representation for Flight Trajectory Prediction","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312704766","doi":"https://doi.org/10.1109/tits.2022.3219923"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3219923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3219923","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"],"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/A5057805812","display_name":"Dongyue Guo","orcid":"https://orcid.org/0000-0003-0393-5197"},"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":"Dongyue Guo","raw_affiliation_strings":["National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110956301","display_name":"Edmond Q. Wu","orcid":"https://orcid.org/0000-0003-1301-9870"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Edmond Q. Wu","raw_affiliation_strings":["the Shanghai Engineering Research Center of Intelligent Control and Management, and the Department of Automation, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1301-9870","affiliations":[{"raw_affiliation_string":"the Shanghai Engineering Research Center of Intelligent Control and Management, and the Department of Automation, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065903043","display_name":"Yuankai Wu","orcid":"https://orcid.org/0000-0003-0573-2609"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yuankai Wu","raw_affiliation_strings":["Department of Civil Engineering, McGill University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326967","display_name":"Jianwei Zhang","orcid":"https://orcid.org/0000-0002-5491-1745"},"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"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Zhang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005460332","display_name":"Rob Law","orcid":"https://orcid.org/0000-0001-7199-3757"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Rob Law","raw_affiliation_strings":["Asia-Pacific Academy of Economics and Management, University of Macau, Taipa, China"],"raw_orcid":"https://orcid.org/0000-0001-7199-3757","affiliations":[{"raw_affiliation_string":"Asia-Pacific Academy of Economics and Management, University of Macau, Taipa, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066617875","display_name":"Yi Lin","orcid":"https://orcid.org/0000-0002-7194-5023"},"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"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Lin","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7194-5023","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.1032,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.98593899,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10370","display_name":"Traffic and Road Safety","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.6587584614753723},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6231504678726196},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.508726179599762},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4560655355453491},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45180076360702515},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4409664273262024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4343389868736267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4326311945915222},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4240933358669281},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.41890862584114075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1875067949295044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587584614753723},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6231504678726196},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.508726179599762},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4560655355453491},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45180076360702515},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4409664273262024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4343389868736267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4326311945915222},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4240933358669281},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.41890862584114075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1875067949295044},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3219923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3219923","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3053330549","display_name":null,"funder_award_id":"U20A20161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G709856560","display_name":null,"funder_award_id":"62001315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8335343387","display_name":null,"funder_award_id":"U2241228","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8425271570","display_name":null,"funder_award_id":"2021SCU12050","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1975558846","https://openalex.org/W1981176313","https://openalex.org/W2030803426","https://openalex.org/W2045648295","https://openalex.org/W2064675550","https://openalex.org/W2072482876","https://openalex.org/W2084835622","https://openalex.org/W2103632679","https://openalex.org/W2104369679","https://openalex.org/W2105934661","https://openalex.org/W2114315281","https://openalex.org/W2131897314","https://openalex.org/W2157537206","https://openalex.org/W2242818861","https://openalex.org/W2251189452","https://openalex.org/W2276240879","https://openalex.org/W2435507717","https://openalex.org/W2583980188","https://openalex.org/W2610548207","https://openalex.org/W2618530766","https://openalex.org/W2624641679","https://openalex.org/W2771184965","https://openalex.org/W2887037553","https://openalex.org/W2896457183","https://openalex.org/W2897997731","https://openalex.org/W2903592362","https://openalex.org/W2928684786","https://openalex.org/W2939251941","https://openalex.org/W2969979070","https://openalex.org/W2976884277","https://openalex.org/W3000241400","https://openalex.org/W3036601975","https://openalex.org/W3041517319","https://openalex.org/W3044432665","https://openalex.org/W3049141004","https://openalex.org/W3081285175","https://openalex.org/W3103922739","https://openalex.org/W3152636584","https://openalex.org/W3188527666","https://openalex.org/W3197163313","https://openalex.org/W4289085255","https://openalex.org/W4309857275","https://openalex.org/W4385245566","https://openalex.org/W4385763767","https://openalex.org/W6683196425","https://openalex.org/W6690026940","https://openalex.org/W6737385794","https://openalex.org/W6739901393","https://openalex.org/W6746446777","https://openalex.org/W6755207826","https://openalex.org/W6757825368","https://openalex.org/W6767011527","https://openalex.org/W6780218876","https://openalex.org/W6803074281","https://openalex.org/W6811309592"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W3111219495","https://openalex.org/W4323768008","https://openalex.org/W4360995134","https://openalex.org/W1941703695","https://openalex.org/W2387529410","https://openalex.org/W2039473718","https://openalex.org/W2383578611","https://openalex.org/W2987583674","https://openalex.org/W3186928667"],"abstract_inverted_index":{"Flight":[0],"Trajectory":[1],"Prediction":[2],"(TP)":[3],"is":[4,17,40,73,132,147,156,187,198,205],"an":[5,126],"essential":[6],"task":[7,16,88],"in":[8,51,65],"Air":[9],"Traffic":[10],"Control":[11],"(ATC).":[12],"Currently,":[13],"the":[14,29,36,59,62,86,96,100,115,120,137,140,152,159,163,166,177,183,192,208,217],"TP":[15,63,87],"usually":[18],"achieved":[19],"by":[20,114,158,223],"regression":[21],"approaches,":[22],"which":[23,81,155,204],"concatenates":[24],"several":[25],"scalar":[26,97],"attributes":[27,98],"of":[28,61,99,168],"observation":[30],"into":[31,105,110],"a":[32,68,90,111,171,201],"low-dimensional":[33,49],"vector":[34],"as":[35,89,151],"inputs.":[37],"However,":[38],"it":[39],"difficult":[41],"to":[42,84,134,149,161,190],"accurately":[43],"model":[44],"aircraft":[45],"motion":[46],"patterns":[47],"using":[48],"features":[50],"complex":[52],"and":[53,108,225],"time-varying":[54],"ATC":[55,210],"environments.":[56],"To":[57],"improve":[58],"performance":[60],"task,":[64],"this":[66],"paper,":[67],"novel":[69],"framework,":[70],"called":[71],"FlightBERT,":[72],"proposed":[74,193,196,218],"based":[75],"on":[76,200],"Binary":[77],"Encoding":[78],"(BE)":[79],"representation,":[80],"enables":[82],"us":[83],"tackle":[85],"multi":[91],"binary":[92,106,184],"classification":[93],"problem.":[94],"Specifically,":[95],"flight":[101,124,169],"trajectory":[102],"are":[103],"encoded":[104],"codes":[107],"transformed":[109],"high-dimensional":[112],"representation":[113],"attribute":[116],"embedding":[117],"module.":[118],"Considering":[119,165],"prior":[121],"knowledge":[122],"among":[123,139],"attributes,":[125],"Attribute":[127],"Correlation":[128],"Attention":[129],"(ACoAtt)":[130],"block":[131,146],"designed":[133,189],"explicitly":[135],"capture":[136],"correlations":[138],"specific":[141],"attributes.":[142],"A":[143],"stacked":[144],"Transformer":[145],"applied":[148],"serve":[150],"backbone":[153],"network,":[154],"followed":[157],"predictor":[160],"generate":[162],"outputs.":[164],"nature":[167],"trajectory,":[170],"hybrid":[172],"constrained":[173],"loss,":[174,186],"i.e.,":[175],"combining":[176],"mean":[178],"square":[179],"error":[180],"loss":[181],"with":[182],"cross-entropy":[185],"innovatively":[188],"optimize":[191],"framework.":[194],"The":[195,212],"method":[197,219],"validated":[199],"large-scale":[202],"dataset,":[203],"collected":[206],"from":[207],"real-world":[209],"environment.":[211],"experimental":[213],"results":[214],"demonstrate":[215],"that":[216],"outperforms":[220],"other":[221],"baselines":[222],"quantitative":[224],"qualitative":[226],"evaluations.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}