{"id":"https://openalex.org/W4205645554","doi":"https://doi.org/10.1109/mits.2021.3136329","title":"Finding Similar Historical Scenarios for Better Understanding Aircraft Taxi Time: A Deep Metric Learning Approach","display_name":"Finding Similar Historical Scenarios for Better Understanding Aircraft Taxi Time: A Deep Metric Learning Approach","publication_year":2022,"publication_date":"2022-01-14","ids":{"openalex":"https://openalex.org/W4205645554","doi":"https://doi.org/10.1109/mits.2021.3136329"},"language":"en","primary_location":{"id":"doi:10.1109/mits.2021.3136329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2021.3136329","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","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/A5074110221","display_name":"Jinghan Du","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinghan Du","raw_affiliation_strings":["College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916207","display_name":"Minghua Hu","orcid":"https://orcid.org/0000-0003-2538-906X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Hu","raw_affiliation_strings":["College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022125713","display_name":"Weining Zhang","orcid":"https://orcid.org/0000-0002-5355-8951"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weining Zhang","raw_affiliation_strings":["College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047501260","display_name":"Jianan Yin","orcid":"https://orcid.org/0000-0002-1469-8759"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Yin","raw_affiliation_strings":["College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074110221"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":2.771,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89628397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"101","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10370","display_name":"Traffic and Road Safety","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8849256038665771},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6434310078620911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631250262260437},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5444962978363037},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5302849411964417},{"id":"https://openalex.org/keywords/air-traffic-control","display_name":"Air traffic control","score":0.506899893283844},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49039316177368164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47518885135650635},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4584505259990692},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4327632486820221},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40134796500205994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40093785524368286},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2255648672580719},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16866454482078552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13575971126556396},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.09527969360351562}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8849256038665771},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6434310078620911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631250262260437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5444962978363037},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5302849411964417},{"id":"https://openalex.org/C166961238","wikidata":"https://www.wikidata.org/wiki/Q221395","display_name":"Air traffic control","level":2,"score":0.506899893283844},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49039316177368164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47518885135650635},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4584505259990692},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4327632486820221},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40134796500205994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40093785524368286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2255648672580719},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16866454482078552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13575971126556396},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09527969360351562},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mits.2021.3136329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2021.3136329","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1617483628","display_name":null,"funder_award_id":"71731001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6390481605","display_name":null,"funder_award_id":"202106830100","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7123872084","display_name":null,"funder_award_id":"202106830077","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7707708829","display_name":null,"funder_award_id":"52002178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7986458299","display_name":null,"funder_award_id":"BK20190416","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1515792823","https://openalex.org/W1551615381","https://openalex.org/W1858538109","https://openalex.org/W1965868244","https://openalex.org/W1976485646","https://openalex.org/W1990681647","https://openalex.org/W2034670324","https://openalex.org/W2037957066","https://openalex.org/W2056530276","https://openalex.org/W2070853643","https://openalex.org/W2076434944","https://openalex.org/W2078644189","https://openalex.org/W2106053110","https://openalex.org/W2138621090","https://openalex.org/W2334206939","https://openalex.org/W2374154775","https://openalex.org/W2399928064","https://openalex.org/W2414494236","https://openalex.org/W2615680539","https://openalex.org/W2626410416","https://openalex.org/W2735357227","https://openalex.org/W2791335459","https://openalex.org/W2791449056","https://openalex.org/W2799526178","https://openalex.org/W2799628126","https://openalex.org/W2809495460","https://openalex.org/W2810804011","https://openalex.org/W2897833335","https://openalex.org/W2905040803","https://openalex.org/W3023371261","https://openalex.org/W3105981889","https://openalex.org/W3115041945","https://openalex.org/W3130341210","https://openalex.org/W6675751002","https://openalex.org/W6677328822","https://openalex.org/W6697188950"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4310922872"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,126],"of":[2,43,65,86,140],"aircraft":[3,141],"taxi":[4,24,102,142],"time":[5,25,125,143],"is":[6,55],"crucial":[7],"to":[8,57,90,99,151],"optimizing":[9],"route":[10],"scheduling":[11],"and":[12,32,70,97,144,160],"improving":[13],"airport":[14],"efficiency.":[15],"However,":[16],"studies":[17],"usually":[18],"give":[19],"only":[20],"a":[21,50,84,91,147],"single":[22],"deterministic":[23],"predicted":[26],"by":[27],"models,":[28],"which":[29],"lacks":[30],"interpretability":[31],"affects":[33],"controllers\u2019":[34],"trust.":[35],"To":[36],"solve":[37],"this":[38],"problem,":[39],"using":[40,106],"the":[41,59,74,77,101,114,120,137],"idea":[42],"auxiliary":[44],"decision-making":[45],"based":[46],"on":[47],"similar":[48,89,130],"scenarios,":[49],"deep":[51],"metric":[52],"learning":[53],"model":[54,75,115],"proposed":[56],"learn":[58],"similarity":[60],"among":[61],"historical":[62,87,131],"situations,":[63],"consisting":[64],"flight":[66],"properties,":[67],"surface":[68],"traffic,":[69],"meteorological":[71],"conditions.":[72],"Combining":[73],"with":[76],"<italic":[78],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[79],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">k</i>":[80],"-nearest-neighbor":[81],"regression":[82],"algorithm,":[83],"set":[85],"circumstances":[88],"reference":[92],"scenario":[93],"can":[94,133],"be":[95],"found":[96],"used":[98],"predict":[100],"time.":[103],"Experimental":[104],"verification":[105],"Shanghai":[107],"Pudong":[108],"International":[109],"Airport":[110],"data":[111],"shows":[112],"that":[113],"achieves":[116],"better":[117],"performance":[118],"than":[119],"state-of-the-art":[121],"variants":[122],"for":[123,149],"taxi-out":[124],"accuracy.":[127],"More":[128],"importantly,":[129],"scenarios":[132],"provide":[134],"insights":[135],"into":[136],"uncertainty":[138],"quantification":[139],"serve":[145],"as":[146],"basis":[148],"controllers":[150],"make":[152],"decisions.":[153],"The":[154],"methodology":[155],"enriches":[156],"decision":[157],"support":[158],"tools":[159],"enhances":[161],"airports\u2019":[162],"refined":[163],"management":[164],"capabilities.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}