{"id":"https://openalex.org/W4405934258","doi":"https://doi.org/10.1109/tits.2024.3514105","title":"A Three-Stage Decision-Making Method Based on Machine Learning for Preventive Maintenance of Airport Pavement","display_name":"A Three-Stage Decision-Making Method Based on Machine Learning for Preventive Maintenance of Airport Pavement","publication_year":2024,"publication_date":"2024-12-31","ids":{"openalex":"https://openalex.org/W4405934258","doi":"https://doi.org/10.1109/tits.2024.3514105"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3514105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3514105","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/A5100723045","display_name":"Yan Li","orcid":"https://orcid.org/0009-0000-1331-9182"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Civil Aviation, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Aviation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenxing Niu","orcid":"https://orcid.org/0009-0006-7544-8143"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenxing Niu","raw_affiliation_strings":["Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0006-7544-8143","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005394080","display_name":"Yinzhang He","orcid":"https://orcid.org/0009-0001-6566-3935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinzhang He","raw_affiliation_strings":["Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020184247","display_name":"Qinshi Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qinshi Hu","raw_affiliation_strings":["Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084942245","display_name":"Jiupeng Zhang","orcid":"https://orcid.org/0000-0002-9627-4836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiupeng Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-9627-4836","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Construction and Maintenance of CAAC, Xi’an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8318,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84222977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"3","first_page":"4152","last_page":"4164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.6941999793052673,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.6941999793052673,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14368","display_name":"Evaluation and Optimization Models","score":0.664900004863739,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.598800003528595,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preventive-maintenance","display_name":"Preventive maintenance","score":0.8300217390060425},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5900322198867798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4548424482345581},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4099624752998352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4067727029323578},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4067646265029907},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35107356309890747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33501318097114563},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.19870266318321228},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07482129335403442}],"concepts":[{"id":"https://openalex.org/C24090081","wikidata":"https://www.wikidata.org/wiki/Q1043452","display_name":"Preventive maintenance","level":2,"score":0.8300217390060425},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5900322198867798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4548424482345581},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4099624752998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4067727029323578},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4067646265029907},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35107356309890747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33501318097114563},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.19870266318321228},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07482129335403442},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3514105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3514105","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":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7096499435","display_name":null,"funder_award_id":"U2333216","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1971022913","https://openalex.org/W2014869513","https://openalex.org/W2042109734","https://openalex.org/W2310976183","https://openalex.org/W2478191574","https://openalex.org/W2510818024","https://openalex.org/W2800343216","https://openalex.org/W2888478412","https://openalex.org/W2944114041","https://openalex.org/W2965435055","https://openalex.org/W2990621560","https://openalex.org/W2996249813","https://openalex.org/W3093349646","https://openalex.org/W3094562396","https://openalex.org/W3096700027","https://openalex.org/W3110435694","https://openalex.org/W3121333554","https://openalex.org/W3138958118","https://openalex.org/W3157862124","https://openalex.org/W3182134287","https://openalex.org/W3204630330","https://openalex.org/W3206010788","https://openalex.org/W3208568670","https://openalex.org/W3213571612","https://openalex.org/W4229449358","https://openalex.org/W4280527363","https://openalex.org/W4285254182","https://openalex.org/W4296432364","https://openalex.org/W4304893132","https://openalex.org/W4312341858","https://openalex.org/W4313291226","https://openalex.org/W4318951402","https://openalex.org/W4360839306","https://openalex.org/W4367186637","https://openalex.org/W4378376412","https://openalex.org/W4380992095","https://openalex.org/W4385538631","https://openalex.org/W4386196585","https://openalex.org/W4386715265","https://openalex.org/W4387212008","https://openalex.org/W4388511784","https://openalex.org/W4389107895","https://openalex.org/W4390052241","https://openalex.org/W4390105351","https://openalex.org/W6802266821"],"related_works":["https://openalex.org/W2056013424","https://openalex.org/W4214827973","https://openalex.org/W1967226400","https://openalex.org/W2046656570","https://openalex.org/W2808175714","https://openalex.org/W2389798429","https://openalex.org/W2008661721","https://openalex.org/W1998858264","https://openalex.org/W2730772894","https://openalex.org/W2996244594"],"abstract_inverted_index":{"The":[0,57,112],"goal":[1],"of":[2,94,108,126,138,163],"preventative":[3],"maintenance":[4,15,28,43,65,97],"(PM)":[5],"decision-making":[6,38,93],"on":[7,30,103],"airport":[8,152],"pavements":[9],"is":[10],"to":[11,62,80,89,118],"deploy":[12],"the":[13,18,36,49,74,83,91,104,109,119,123,127,151,158,170],"appropriate":[14],"countermeasures":[16],"at":[17],"correct":[19],"time.":[20],"This":[21],"paper":[22],"proposed":[23],"a":[24,41],"three-stage":[25],"method":[26],"for":[27],"based":[29,102],"machine":[31],"learning,":[32],"which":[33],"further":[34,81],"refined":[35],"PM":[37,84,164],"process.":[39],"First,":[40],"pavement":[42,64,110,153],"level":[44],"model":[45,58,129],"was":[46,59,130],"developed":[47],"using":[48],"PCA":[50],"and":[51,71,76,136,146],"PSO":[52],"algorithm":[53],"optimized":[54],"SVM":[55,121],"model.":[56],"then":[60],"used":[61],"separate":[63],"into":[66],"three":[67],"categories:":[68],"daily,":[69],"PM,":[70,95],"major.":[72],"Second,":[73],"DBSCAN":[75,159],"OPTICS":[77,156],"were":[78,99,166],"utilized":[79],"divide":[82],"requirements":[85],"finely.":[86],"In":[87],"order":[88],"implement":[90],"scientific":[92],"suitable":[96],"procedures":[98],"ultimately":[100],"chosen":[101],"predominant":[105],"damage":[106],"kinds":[107],"units.":[111],"results":[113],"showed":[114],"that,":[115],"when":[116],"compared":[117],"original":[120],"model,":[122],"classification":[124],"accuracy":[125,135,137],"PCA-PSO-SVM":[128],"greatly":[131],"improved,":[132],"with":[133],"total":[134],"each":[139],"class":[140],"increasing":[141],"by":[142,168],"10%,":[143],"41.7%,":[144],"4.6%,":[145],"7.8%,":[147],"respectively.":[148],"When":[149],"clustering":[150],"performance":[154],"dataset,":[155],"outperformed":[157],"technique.":[160],"Four":[161],"groups":[162],"demands":[165],"discovered":[167],"visualizing":[169],"best":[171],"grouping":[172],"levels":[173],"after":[174],"dimensionality":[175],"reduction.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}