{"id":"https://openalex.org/W2918424319","doi":"https://doi.org/10.2514/1.i010692","title":"Similarity Search of Spatiotemporal Scenario Data for Strategic Air Traffic Management","display_name":"Similarity Search of Spatiotemporal Scenario Data for Strategic Air Traffic Management","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2918424319","doi":"https://doi.org/10.2514/1.i010692","mag":"2918424319"},"language":"en","primary_location":{"id":"doi:10.2514/1.i010692","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010692","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information 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/A5063416695","display_name":"Junfei Xie","orcid":"https://orcid.org/0000-0001-7406-3221"},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junfei Xie","raw_affiliation_strings":["Texas A&M University at Corpus Christi, Corpus Christi, Texas 78412"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University at Corpus Christi, Corpus Christi, Texas 78412","institution_ids":["https://openalex.org/I96749437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059899235","display_name":"Akhil Reddy Kothapally","orcid":null},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akhil Reddy Kothapally","raw_affiliation_strings":["Texas A&M University at Corpus Christi, Corpus Christi, Texas 78412"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University at Corpus Christi, Corpus Christi, Texas 78412","institution_ids":["https://openalex.org/I96749437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029213376","display_name":"Yan Wan","orcid":"https://orcid.org/0000-0002-7508-5833"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Wan","raw_affiliation_strings":["University of Texas at Arlington, Arlington, Texas 76019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington, Arlington, Texas 76019","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005265888","display_name":"Chenyuan He","orcid":"https://orcid.org/0000-0002-9378-7935"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyuan He","raw_affiliation_strings":["University of Texas at Arlington, Arlington, Texas 76019"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington, Arlington, Texas 76019","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109272489","display_name":"Christine Taylor","orcid":null},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christine Taylor","raw_affiliation_strings":["The MITRE Corporation, McLean, Virginia 22102"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The MITRE Corporation, McLean, Virginia 22102","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103806119","display_name":"Craig Wanke","orcid":null},"institutions":[{"id":"https://openalex.org/I44896327","display_name":"Mitre (United States)","ror":"https://ror.org/03ks2a131","country_code":"US","type":"company","lineage":["https://openalex.org/I44896327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig Wanke","raw_affiliation_strings":["The MITRE Corporation, McLean, Virginia 22102"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The MITRE Corporation, McLean, Virginia 22102","institution_ids":["https://openalex.org/I44896327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024672697","display_name":"Matthias Steiner","orcid":"https://orcid.org/0000-0002-3973-375X"},"institutions":[{"id":"https://openalex.org/I107766831","display_name":"NSF National Center for Atmospheric Research","ror":"https://ror.org/05cvfcr44","country_code":"US","type":"facility","lineage":["https://openalex.org/I107766831","https://openalex.org/I1311060795","https://openalex.org/I2799356940","https://openalex.org/I4210141337","https://openalex.org/I4210150888"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Steiner","raw_affiliation_strings":["National Center for Atmospheric Research, Boulder, Colorado 80307"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Atmospheric Research, Boulder, Colorado 80307","institution_ids":["https://openalex.org/I107766831"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1452,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77765924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"16","issue":"5","first_page":"187","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9983999729156494,"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9983999729156494,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689631462097168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6686267256736755},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.6514626741409302},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5571408867835999},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5060040354728699},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4428884983062744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19064044952392578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1139165461063385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689631462097168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6686267256736755},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.6514626741409302},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5571408867835999},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5060040354728699},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4428884983062744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19064044952392578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1139165461063385},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.2514/1.i010692","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010692","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G402740259","display_name":"EAGER: Real-Time: Collaborative Research: Unified Theory of Model-based and Data-driven Real-time Optimization and Control for Uncertain Networked Systems","funder_award_id":"1839707","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5771986312","display_name":"CAREER: Co-Design of Networking and Decentralized Control to Enable Aerial Networks in an Uncertain Airspace","funder_award_id":"1714519","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G658153752","display_name":"CPS: TTP Option: Synergy: Collaborative Research: Threat-Assessment Tools for Management-Coupled Cyber- and Physical- Infrastructure","funder_award_id":"1714826","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8430057035","display_name":"EAGER: Real-Time: Collaborative Research: Unified Theory of Model-based and Data-driven Real-time Optimization and Control for Uncertain Networked Systems","funder_award_id":"1839804","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332580","display_name":"Texas A and M University-Corpus Christi","ror":"https://ror.org/01mrfdz82"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1580166843","https://openalex.org/W1640156699","https://openalex.org/W1883134643","https://openalex.org/W1976239060","https://openalex.org/W1987729351","https://openalex.org/W1997944350","https://openalex.org/W2009688537","https://openalex.org/W2035055162","https://openalex.org/W2044221688","https://openalex.org/W2070406545","https://openalex.org/W2097237344","https://openalex.org/W2105416458","https://openalex.org/W2127916775","https://openalex.org/W2131620262","https://openalex.org/W2147717514","https://openalex.org/W2161694911","https://openalex.org/W2165558283","https://openalex.org/W2170860720","https://openalex.org/W2320642155","https://openalex.org/W2321966982","https://openalex.org/W2331996895","https://openalex.org/W2333105625","https://openalex.org/W2335443803","https://openalex.org/W2399928064","https://openalex.org/W2623929857","https://openalex.org/W4300789689"],"related_works":["https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W2480115405","https://openalex.org/W3197542402","https://openalex.org/W1856228368","https://openalex.org/W2971527398","https://openalex.org/W1929207905","https://openalex.org/W1025150868","https://openalex.org/W2645958880"],"abstract_inverted_index":{"Designing":[0],"strategic":[1,24],"air":[2],"traffic":[3],"management":[4],"(ATM)":[5],"solutions":[6,38],"at":[7,22],"a":[8,54,87,120,152],"large":[9,153],"spatiotemporal":[10,59,76,129,204],"scale":[11],"in":[12,79,151],"real":[13,156],"time":[14,25],"is":[15,178],"challenging,":[16],"considering":[17],"the":[18,23,74,91,126,142,161,169,193,198],"range":[19],"of":[20,93,133,168,197],"uncertainties":[21],"frame.":[26],"Big":[27],"data":[28,56,70,78,95,113],"techniques":[29],"have":[30],"drawn":[31],"increasing":[32],"attentions":[33],"to":[34,39,139],"develop":[35],"optimal":[36],"ATM":[37,43],"address":[40],"these":[41],"challenges.":[42],"data,":[44,61],"such":[45],"as":[46,160],"convective":[47],"weather":[48,157],"spread":[49,84],"and":[50,96,148,195],"congestion":[51],"propagation,":[52],"represent":[53],"new":[55,69,112],"type":[57,71],"called":[58],"scenario":[60,205],"which":[62,124,183],"has":[63],"not":[64],"been":[65],"systematically":[66],"studied.":[67],"This":[68,115],"differs":[72],"from":[73],"traditional":[75],"pointwise":[77],"its":[80],"unique":[81],"spatiotemporally":[82],"correlated":[83],"patterns.":[85],"As":[86],"step":[88],"toward":[89],"closing":[90],"loop":[92],"big":[94],"real-time":[97],"decision":[98],"making":[99],"for":[100,110,186,203],"ATM,":[101],"this":[102,111,134,164],"paper":[103],"introduces":[104],"an":[105],"effective":[106],"similarity":[107,116,171,200],"search":[108,117,172,201],"algorithm":[109,118,202],"type.":[114],"uses":[119],"multiresolution":[121],"distance":[122,135],"measure,":[123],"captures":[125],"difference":[127],"between":[128],"scenarios.":[130],"Unique":[131],"properties":[132],"measure":[136],"are":[137],"exploited":[138],"significantly":[140],"reduce":[141],"computational":[143],"cost":[144],"associated":[145],"with":[146],"accessing":[147],"processing":[149],"scenarios":[150],"database.":[154],"Using":[155],"forecast":[158],"datasets":[159],"case":[162],"study,":[163],"study":[165],"investigates":[166],"feasibility":[167],"proposed":[170,199],"algorithm.":[173],"Systematic":[174],"parameter":[175,187],"impact":[176],"analysis":[177],"conducted":[179],"through":[180],"simulation":[181,190],"studies,":[182],"provide":[184],"guidelines":[185],"selection.":[188],"Comparative":[189],"studies":[191],"validate":[192],"effectiveness":[194],"efficiency":[196],"data.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
