{"id":"https://openalex.org/W4403836636","doi":"https://doi.org/10.3390/a17110483","title":"Automatic Scheduling Method for Customs Inspection Vehicle Relocation Based on Automotive Electronic Identification and Biometric Recognition","display_name":"Automatic Scheduling Method for Customs Inspection Vehicle Relocation Based on Automotive Electronic Identification and Biometric Recognition","publication_year":2024,"publication_date":"2024-10-28","ids":{"openalex":"https://openalex.org/W4403836636","doi":"https://doi.org/10.3390/a17110483"},"language":"en","primary_location":{"id":"doi:10.3390/a17110483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a17110483","pdf_url":"https://www.mdpi.com/1999-4893/17/11/483/pdf?version=1730112026","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/17/11/483/pdf?version=1730112026","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080059077","display_name":"Shengpei Zhou","orcid":"https://orcid.org/0000-0002-6337-3045"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengpei Zhou","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China"],"raw_orcid":"https://orcid.org/0000-0002-6337-3045","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023816347","display_name":"Nanfeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nanfeng Zhang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102509080","display_name":"Qin Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135740","display_name":"Haier Group (China)","ror":"https://ror.org/04a2kft13","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135740"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Duan","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","Guangzhou Haige Communications Group Incorporated Company, Guangzhou 510663, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Haige Communications Group Incorporated Company, Guangzhou 510663, China","institution_ids":["https://openalex.org/I4210135740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045223236","display_name":"Jinchao Xiao","orcid":"https://orcid.org/0000-0002-8391-5075"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinchao Xiao","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","Guangzhou Institute of Industrial Intelligence, Guangzhou 511458, China"],"raw_orcid":"https://orcid.org/0000-0002-8391-5075","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Institute of Industrial Intelligence, Guangzhou 511458, China","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044671587","display_name":"Jingfeng Yang","orcid":"https://orcid.org/0000-0002-3682-1666"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingfeng Yang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","Guangdong Zhongke Zhenheng Information Technology Co., Ltd., Foshan 528225, China","Guangzhou Institute of Industrial Intelligence, Guangzhou 511458, China"],"raw_orcid":"https://orcid.org/0000-0002-3682-1666","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intelligent Port Security Inspection, Huangpu Customs District P.R.China, Guangzhou 510700, China","institution_ids":[]},{"raw_affiliation_string":"Guangdong Zhongke Zhenheng Information Technology Co., Ltd., Foshan 528225, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Institute of Industrial Intelligence, Guangzhou 511458, China","institution_ids":["https://openalex.org/I4210142539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044671587"],"corresponding_institution_ids":["https://openalex.org/I4210142539"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16743535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"11","first_page":"483","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14156","display_name":"Engineering Applied Research","score":0.6327999830245972,"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/T14156","display_name":"Engineering Applied Research","score":0.6327999830245972,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.611299991607666,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.5753999948501587,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8842178583145142},{"id":"https://openalex.org/keywords/relocation","display_name":"Relocation","score":0.7872521877288818},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.750191330909729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6599814891815186},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5790938138961792},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5301963686943054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3932484984397888},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37608614563941956},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.354085773229599},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.35381144285202026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33374854922294617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3294246196746826},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1712796986103058},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.16836243867874146},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1068984866142273}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8842178583145142},{"id":"https://openalex.org/C2779019381","wikidata":"https://www.wikidata.org/wiki/Q3499564","display_name":"Relocation","level":2,"score":0.7872521877288818},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.750191330909729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599814891815186},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5790938138961792},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5301963686943054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3932484984397888},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37608614563941956},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.354085773229599},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.35381144285202026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33374854922294617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3294246196746826},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1712796986103058},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.16836243867874146},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1068984866142273},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a17110483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a17110483","pdf_url":"https://www.mdpi.com/1999-4893/17/11/483/pdf?version=1730112026","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:16d04963ddd2489aa534025a940e6fe6","is_oa":true,"landing_page_url":"https://doaj.org/article/16d04963ddd2489aa534025a940e6fe6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 17, Iss 11, p 483 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a17110483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a17110483","pdf_url":"https://www.mdpi.com/1999-4893/17/11/483/pdf?version=1730112026","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403836636.pdf"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4400915925"],"related_works":["https://openalex.org/W2046732476","https://openalex.org/W2486027828","https://openalex.org/W2034964907","https://openalex.org/W2380877425","https://openalex.org/W2147260044","https://openalex.org/W2365744358","https://openalex.org/W2330526172","https://openalex.org/W2066619073","https://openalex.org/W2386505781","https://openalex.org/W2992703792"],"abstract_inverted_index":{"This":[0,59,123,250],"study":[1],"presents":[2],"an":[3,208],"innovative":[4],"automatic":[5,154,273],"scheduling":[6,41,146,155,238,274,292,314],"method":[7,81,275],"for":[8,175,288,312],"the":[9,25,130,140,191,194,220,272,301,318],"relocation":[10],"of":[11,27,106,139,193,222,320],"customs":[12,30,109,144,188,230,259,282,331],"inspection":[13,131],"vehicles,":[14],"leveraging":[15],"Vehicle":[16],"Electronic":[17],"Identification":[18],"(EVI)":[19],"and":[20,47,55,67,85,93,128,166,225,243,248,308,322,329],"biometric":[21,68,112,226],"recognition":[22,113],"technologies.":[23],"With":[24],"expansion":[26],"global":[28],"trade,":[29],"authorities":[31,260],"face":[32],"increasing":[33],"pressure":[34],"to":[35,89,178,206,228,264,303,325],"enhance":[36],"logistics":[37,231,266,323],"efficiency.":[38],"Traditional":[39],"vehicle":[40,77,95,145,160,203,291],"often":[42],"relies":[43],"on":[44,98,143,299],"manual":[45],"processes":[46],"simplistic":[48],"algorithms,":[49,239],"resulting":[50],"in":[51,150,202,210,281,317],"prolonged":[52],"waiting":[53,204],"times":[54],"inefficient":[56],"resource":[57,211],"allocation.":[58],"research":[60,251,295],"addresses":[61,254],"these":[62],"challenges":[63,256],"by":[64,214,258],"integrating":[65,223],"EVI":[66,101,224],"systems":[69],"into":[70],"a":[71,199,234,278,285],"comprehensive":[72],"framework":[73,173],"aimed":[74],"at":[75],"improving":[76],"scheduling.":[78],"The":[79,153,170],"proposed":[80,195],"utilizes":[82],"genetic":[83,171],"algorithms":[84],"intelligent":[86],"optimization":[87],"techniques":[88],"dynamically":[90],"allocate":[91],"resources":[92],"prioritize":[94],"movements":[96],"based":[97],"real-time":[99,167],"data.":[100],"technology":[102,321],"facilitates":[103],"rapid":[104],"identification":[105],"vehicles":[107],"entering":[108],"facilities,":[110],"while":[111],"ensures":[114],"that":[115],"only":[116,253],"authorized":[117],"personnel":[118],"can":[119],"operate":[120],"specific":[121],"vehicles.":[122],"dual-layered":[124],"approach":[125],"enhances":[126],"security":[127],"streamlines":[129],"process,":[132],"significantly":[133],"reducing":[134],"delays.":[135],"A":[136],"thorough":[137],"analysis":[138],"existing":[141],"literature":[142],"identifies":[147],"key":[148],"limitations":[149],"current":[151],"methodologies.":[152],"algorithm":[156,172,302],"is":[157],"detailed,":[158],"encompassing":[159],"prioritization":[161],"criteria,":[162],"dynamic":[163],"path":[164],"planning,":[165],"driver":[168],"assignment.":[169],"allows":[174],"adaptive":[176],"responses":[177],"varying":[179],"operational":[180],"conditions.":[181],"Extensive":[182],"simulations":[183],"using":[184],"real-world":[185],"data":[186],"from":[187],"operations":[189,267,332],"validate":[190],"effectiveness":[192],"method.":[196],"Results":[197],"indicate":[198],"significant":[200,279],"reduction":[201],"times\u2014up":[205],"30%\u2014and":[207],"increase":[209],"utilization":[212],"rates":[213],"approximately":[215],"25%.":[216],"These":[217],"findings":[218],"demonstrate":[219],"potential":[221],"technologies":[227],"transform":[229],"management.":[232],"Additionally,":[233],"comparison":[235],"against":[236],"state-of-the-art":[237],"such":[240],"as":[241],"NSGA-II":[242],"MOEA/D,":[244],"reveals":[245],"superior":[246],"efficiency":[247],"adaptability.":[249],"not":[252],"pressing":[255],"faced":[257],"but":[261],"also":[262],"contributes":[263],"optimizing":[265],"more":[268,327],"broadly.":[269],"In":[270],"conclusion,":[271],"presented":[276],"represents":[277],"advancement":[280],"logistics,":[283],"providing":[284],"robust":[286],"solution":[287],"managing":[289],"complex":[290],"scenarios.":[293],"Future":[294],"directions":[296],"will":[297],"focus":[298],"refining":[300],"handle":[304],"peak":[305],"traffic":[306],"periods":[307],"exploring":[309],"predictive":[310],"analytics":[311],"enhanced":[313],"optimization.":[315],"Advancements":[316],"intersection":[319],"aim":[324],"support":[326],"efficient":[328],"secure":[330],"globally.":[333]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}