{"id":"https://openalex.org/W4408700038","doi":"https://doi.org/10.1109/itsc58415.2024.10920105","title":"Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm","display_name":"Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408700038","doi":"https://doi.org/10.1109/itsc58415.2024.10920105"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10920105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5037048698","display_name":"K. Acharya","orcid":"https://orcid.org/0000-0002-9712-0265"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kamal Acharya","raw_affiliation_strings":["University of Maryland,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Information Systems,Baltimore County, Baltimore,MD,USA,21250"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Information Systems,Baltimore County, Baltimore,MD,USA,21250","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067109059","display_name":"Alvaro Velasquez","orcid":"https://orcid.org/0000-0001-6757-105X"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alvaro Velasquez","raw_affiliation_strings":["University of Colorado,Department of Computer Science,Boulder,CO,USA,80309"],"affiliations":[{"raw_affiliation_string":"University of Colorado,Department of Computer Science,Boulder,CO,USA,80309","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765920","display_name":"Yongxin Liu","orcid":"https://orcid.org/0000-0003-4527-8623"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongxin Liu","raw_affiliation_strings":["Embry-Riddle Aeronautical University,Mathematics Department and College of Aviation,Daytona Beach,FL,USA,32114"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University,Mathematics Department and College of Aviation,Daytona Beach,FL,USA,32114","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090441954","display_name":"Dahai Liu","orcid":"https://orcid.org/0000-0001-7301-9309"},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dahai Liu","raw_affiliation_strings":["Embry-Riddle Aeronautical University,Mathematics Department and College of Aviation,Daytona Beach,FL,USA,32114"],"affiliations":[{"raw_affiliation_string":"Embry-Riddle Aeronautical University,Mathematics Department and College of Aviation,Daytona Beach,FL,USA,32114","institution_ids":["https://openalex.org/I84475105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043777246","display_name":"Liang Sun","orcid":"https://orcid.org/0000-0003-2326-4802"},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Sun","raw_affiliation_strings":["Baylor University,Department of Mechanical Engineering,Waco,TX,USA,76798"],"affiliations":[{"raw_affiliation_string":"Baylor University,Department of Mechanical Engineering,Waco,TX,USA,76798","institution_ids":["https://openalex.org/I157394403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Herbert Song","raw_affiliation_strings":["University of Maryland,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Information Systems,Baltimore County, Baltimore,MD,USA,21250"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Security and Optimization for Networked Globe Laboratory (SONG Lab),Department of Information Systems,Baltimore County, Baltimore,MD,USA,21250","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037048698"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.2782,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61011293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1290","last_page":"1295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961437463760376},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6524155139923096},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6237746477127075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40162020921707153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29789024591445923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961437463760376},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6524155139923096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6237746477127075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40162020921707153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29789024591445923}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10920105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8500000238418579,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G5665895995","display_name":null,"funder_award_id":"2309760,2317117","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1982253018","https://openalex.org/W1999647828","https://openalex.org/W2808980192","https://openalex.org/W2903595909","https://openalex.org/W2972064755","https://openalex.org/W2978790554","https://openalex.org/W2987656958","https://openalex.org/W2990893807","https://openalex.org/W3094583894","https://openalex.org/W3097360280","https://openalex.org/W3101197299","https://openalex.org/W3113227496","https://openalex.org/W3176916588","https://openalex.org/W3209818096","https://openalex.org/W3211774906","https://openalex.org/W4312538122"],"related_works":["https://openalex.org/W2372415543","https://openalex.org/W2354205711","https://openalex.org/W2808717917","https://openalex.org/W2377292223","https://openalex.org/W2366584243","https://openalex.org/W2376563992","https://openalex.org/W2360006733","https://openalex.org/W4304590249","https://openalex.org/W2366368367","https://openalex.org/W2385996327"],"abstract_inverted_index":{"Weather":[0],"disaster":[1],"related":[2],"emergency":[3],"operations":[4],"pose":[5],"a":[6,71,102,108,118],"great":[7],"challenge":[8],"to":[9,56],"air":[10,66],"mobility":[11],"in":[12],"both":[13],"aircraft":[14],"and":[15,47,141],"airport":[16,32],"operations,":[17],"especially":[18],"when":[19,115,126],"the":[20,50,58,99,105,127],"impact":[21],"is":[22,129],"gradually":[23],"approaching.":[24],"We":[25,39,68,96],"propose":[26,70],"an":[27],"optimized":[28],"framework":[29],"for":[30,35,80],"adjusting":[31],"operational":[33,42],"schedules":[34],"such":[36],"pre-disaster":[37],"scenarios.":[38],"first,":[40],"aggregate":[41],"data":[43,132],"from":[44,133,136],"multiple":[45],"airports":[46,134],"then":[48,69],"determine":[49],"optimal":[51],"count":[52],"of":[53,101,107],"evacuation":[54],"flights":[55],"maximize":[57],"impacted":[59],"airport's":[60],"outgoing":[61],"capacity":[62],"without":[63],"impeding":[64],"regular":[65],"traffic.":[67],"novel":[72],"Neural":[73],"Network":[74],"(NN)":[75],"accelerated":[76],"Genetic":[77],"Algorithm":[78],"(GA)":[79],"evacu-ation":[81],"planning.":[82],"Our":[83],"experiments":[84],"show":[85],"that":[86,98],"integration":[87],"yielded":[88],"comparable":[89],"results":[90],"but":[91],"with":[92,117],"smaller":[93],"computational":[94],"overhead.":[95],"find":[97],"utilization":[100],"NN":[103],"enhances":[104],"efficiency":[106],"GA,":[109],"facilitating":[110],"more":[111],"rapid":[112],"convergence":[113],"even":[114,125],"operating":[116],"reduced":[119],"population":[120],"size.":[121],"This":[122],"effectiveness":[123],"persists":[124],"model":[128],"trained":[130],"on":[131],"different":[135],"those":[137],"under":[138],"test.":[139],"Data":[140],"code":[142],"available":[143],"at":[144],"github<sup":[145],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[146,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup><sup":[147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>Github:":[149],"https://github.com/lotussavy/ITSC-2024.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
