{"id":"https://openalex.org/W1626292147","doi":"https://doi.org/10.1109/coase.2015.7294337","title":"Optimize the flight path for airlines using real-time information","display_name":"Optimize the flight path for airlines using real-time information","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1626292147","doi":"https://doi.org/10.1109/coase.2015.7294337","mag":"1626292147"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2015.7294337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-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/A5108711879","display_name":"Jin-Ru Yen","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jin-Ru Yen","raw_affiliation_strings":["Dept. of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108711879"],"corresponding_institution_ids":["https://openalex.org/I153512688"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02802063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1649","last_page":"1649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9930999875068665,"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":0.9930999875068665,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.9848999977111816,"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/cruise","display_name":"Cruise","score":0.7964987754821777},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.7614189982414246},{"id":"https://openalex.org/keywords/depreciation","display_name":"Depreciation (economics)","score":0.6667901277542114},{"id":"https://openalex.org/keywords/crew","display_name":"Crew","score":0.6214224696159363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.466127872467041},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4610350430011749},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.41970300674438477},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.2909436821937561},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2568765878677368},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.14350342750549316},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.13478422164916992}],"concepts":[{"id":"https://openalex.org/C2778821358","wikidata":"https://www.wikidata.org/wiki/Q2063640","display_name":"Cruise","level":2,"score":0.7964987754821777},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.7614189982414246},{"id":"https://openalex.org/C95383336","wikidata":"https://www.wikidata.org/wiki/Q4198710","display_name":"Depreciation (economics)","level":5,"score":0.6667901277542114},{"id":"https://openalex.org/C2780179797","wikidata":"https://www.wikidata.org/wiki/Q345844","display_name":"Crew","level":2,"score":0.6214224696159363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.466127872467041},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4610350430011749},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.41970300674438477},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.2909436821937561},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2568765878677368},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.14350342750549316},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13478422164916992},{"id":"https://openalex.org/C44750222","wikidata":"https://www.wikidata.org/wiki/Q1897397","display_name":"Financial capital","level":3,"score":0.0},{"id":"https://openalex.org/C58202505","wikidata":"https://www.wikidata.org/wiki/Q5035700","display_name":"Capital formation","level":4,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C2776943663","wikidata":"https://www.wikidata.org/wiki/Q165687","display_name":"Human capital","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2015.7294337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2061042597","https://openalex.org/W4380487529","https://openalex.org/W2367907680","https://openalex.org/W2089466361","https://openalex.org/W4297880050","https://openalex.org/W2313032867","https://openalex.org/W3116517130","https://openalex.org/W2325366238","https://openalex.org/W4312513666","https://openalex.org/W572715804"],"abstract_inverted_index":{"As":[0],"the":[1,16,20,25,27,31,35,42,81,107,123,127,130,168,175,183,192,209,245,270,275,280],"reserve":[2],"of":[3,85,132,211,248,254],"crude":[4],"oil":[5,13],"is":[6,39,52,165,171,224,292],"becoming":[7],"fewer,":[8],"we":[9],"can":[10,188],"expect":[11],"higher":[12],"prices":[14],"in":[15,24,149,161],"long":[17],"run":[18],"Among":[19],"various":[21],"operating":[22,83],"costs":[23,59,84],"Airlines,":[26],"fuel":[28,37,58,89,153,206,230,304],"cost":[29],"takes":[30],"biggest":[32],"portion.":[33],"Additionally":[34],"en-route":[36],"consumption":[38],"influenced":[40],"by":[41,60,215],"weather":[43,63,212,299],"such":[44,243],"as":[45,95,97,244],"wind":[46],"speed":[47],"and":[48,99,112,258],"direction.":[49],"This":[50],"study":[51],"aimed":[53],"at":[54],"saving":[55],"an":[56,68,75,86,225,284],"airline's":[57],"using":[61],"real-time":[62,298],"information":[64,213,300],"en-route.":[65],"It":[66],"employs":[67],"integer":[69],"programming":[70],"model":[71],"to":[72,120,141,151,198,203,260,268,277,296,301],"search":[73,121],"for":[74,102,122,294],"optimum":[76,124],"flight":[77,82,113,186,201],"path":[78],"that":[79,167,228,237,273,290],"minimizes":[80,229],"aircraft":[87,176],"(including":[88],"costs,":[90],"airway":[91,110,137,169],"expenses,":[92],"crew":[93],"salaries,":[94],"well":[96],"maintenance":[98],"depreciation":[100],"costs)":[101],"a":[103,135,159,178,263],"specific":[104,179],"flight.":[105],"In":[106],"model,":[108],"both":[109],"choice":[111],"level":[114,202],"selection":[115],"are":[116,196,234,266],"taken":[117],"into":[118],"account":[119],"path.":[125],"For":[126],"first":[128],"stage,":[129],"airline":[131,217,265],"interest":[133],"chooses":[134],"suitable":[136],"before":[138],"departure":[139],"according":[140],"her":[142],"calculation":[143],"based":[144],"on":[145,208],"some":[146,241],"pre-set":[147],"conditions":[148],"order":[150],"save":[152,302],"consumption.":[154,231],"Since":[155],"different":[156],"airways":[157],"depart":[158],"lot":[160],"oceanic":[162],"flights,":[163],"it":[164,291],"assumed":[166],"decision":[170],"not":[172],"changeable":[173],"after":[174],"entering":[177],"gate":[180],"fix.":[181],"On":[182],"other":[184,219],"hand,":[185],"levels":[187,247],"be":[189],"changed":[190],"during":[191],"cruise":[193],"phase.":[194],"Pilots":[195],"able":[197],"change":[199],"their":[200,205,216,303],"optimize":[204],"efficiency,":[207],"basis":[210],"provided":[214],"or":[218],"third":[220],"parties.":[221],"Mathematically,":[222],"there":[223,233],"objective":[226],"function":[227],"Additionally,":[232],"several":[235],"constraints":[236],"take":[238],"care":[239],"o":[240],"techniques":[242],"maximum":[246],"each":[249],"descend":[250],"operation.":[251],"Two":[252],"set":[253],"empirical":[255],"data":[256],"(Transpacific":[257],"Asia-Pacific":[259],"Europe)":[261],"from":[262],"Taiwanese":[264],"used":[267],"validate":[269],"mathematical":[271],"formulation":[272],"has":[274],"potential":[276],"efficiently":[278],"solve":[279],"defined":[281],"problem":[282],"with":[283],"exact":[285],"solution.":[286],"The":[287],"research":[288],"indicates":[289],"possible":[293],"airlines":[295],"use":[297],"costs.":[305]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
