{"id":"https://openalex.org/W3191612847","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498607","title":"Forecasting of Vessel Traffic Flow Using BPNN Based on Genetic Algorithm Optimization","display_name":"Forecasting of Vessel Traffic Flow Using BPNN Based on Genetic Algorithm Optimization","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3191612847","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498607","mag":"3191612847"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc51323.2021.9498607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007557534","display_name":"Qihang Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Yi","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045450717","display_name":"Yi Zuo","orcid":"https://orcid.org/0000-0002-4580-6855"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zuo","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025349097","display_name":"Tieshan Li","orcid":"https://orcid.org/0000-0003-0474-953X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieshan Li","raw_affiliation_strings":["College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110567599","display_name":"Yuhao Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Mao","raw_affiliation_strings":["Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046618429","display_name":"Yang Xiao","orcid":"https://orcid.org/0000-0001-8549-6794"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Xiao","raw_affiliation_strings":["The University of Alabama, Tuscaloosa, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Alabama, Tuscaloosa, USA","institution_ids":["https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4584,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80545287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1059","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9855999946594238,"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":0.9855999946594238,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9840999841690063,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.9627000093460083,"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/genetic-algorithm","display_name":"Genetic algorithm","score":0.67466139793396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6314613819122314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297494769096375},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.6067692637443542},{"id":"https://openalex.org/keywords/yangtze-river","display_name":"Yangtze river","score":0.5600982904434204},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5352160930633545},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.5110393762588501},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47280898690223694},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.43593108654022217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3974210023880005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33788231015205383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2874809503555298}],"concepts":[{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.67466139793396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6314613819122314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297494769096375},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.6067692637443542},{"id":"https://openalex.org/C3018003528","wikidata":"https://www.wikidata.org/wiki/Q5413","display_name":"Yangtze river","level":3,"score":0.5600982904434204},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5352160930633545},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.5110393762588501},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47280898690223694},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.43593108654022217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3974210023880005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33788231015205383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2874809503555298},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc51323.2021.9498607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G2070783123","display_name":null,"funder_award_id":"2018J11CY022","funder_id":"https://openalex.org/F4320336584","funder_display_name":"Dalian Science and Technology Innovation Fund"},{"id":"https://openalex.org/G2496353606","display_name":null,"funder_award_id":"XLYC1908018, XLYC1807046","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"},{"id":"https://openalex.org/G3354800141","display_name":null,"funder_award_id":"3132019345","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3884832083","display_name":null,"funder_award_id":"51939001,61976033,U1813203,61803064,61751202","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"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336584","display_name":"Dalian Science and Technology Innovation Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1542745714","https://openalex.org/W1560257981","https://openalex.org/W1568233643","https://openalex.org/W1975359585","https://openalex.org/W1979891241","https://openalex.org/W2050772323","https://openalex.org/W2197649210","https://openalex.org/W2542434364","https://openalex.org/W2548643119","https://openalex.org/W2770006404","https://openalex.org/W2978627100","https://openalex.org/W6687316053"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1518564963","https://openalex.org/W2019948928","https://openalex.org/W2365470997","https://openalex.org/W4360615906","https://openalex.org/W2385067697","https://openalex.org/W4214885488","https://openalex.org/W4387169607"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,23,44,91,101],"of":[2,13,25,53,73,88,99,127,141],"vessel":[3,26,49,128],"traffic":[4,27,50,129,152],"flow":[5,51],"plays":[6],"a":[7,43],"significant":[8],"role":[9],"in":[10,124],"the":[11,22,48,59,84,100,111,125,134,138,142,150],"field":[12],"modern":[14],"intelligent":[15],"transportation":[16],"system.":[17],"In":[18],"order":[19],"to":[20,41,67,148],"enhance":[21],"accuracy":[24,98],"flow,":[28],"this":[29],"paper":[30,132],"combines":[31],"genetic":[32],"algorithm":[33],"(GA)":[34],"and":[35],"Back":[36],"Propagation":[37],"neural":[38],"network":[39],"(BPNN)":[40],"build":[42],"model.":[45],"Based":[46],"on":[47],"data":[52],"The":[54,69,94,114],"Wuhan":[55],"Yangtze":[56],"River":[57],"Bridge,":[58],"simulation":[60],"experiments":[61],"were":[62],"carried":[63],"out":[64],"from":[65],"2013":[66],"2018.":[68],"average":[70,85],"relative":[71,86],"error":[72,87],"BPNN":[74,90,104,115],"optimized":[75,116],"by":[76,117],"GA":[77,106,118],"is":[78,81,92,108],"4.03%,":[79],"which":[80],"better":[82],"than":[83,110],"direct":[89],"5.57%.":[93],"results":[95,123],"show":[96],"that":[97],"model":[102],"using":[103],"with":[105],"optimization":[107],"higher":[109],"traditional":[112],"BPNN.":[113],"has":[119],"achieved":[120],"more":[121],"ideal":[122],"forecast":[126],"flow.":[130],"This":[131],"provides":[133],"theoretical":[135],"basis":[136],"for":[137],"relevant":[139],"decision-making":[140],"water":[143,151],"safety":[144],"authorities":[145],"so":[146],"as":[147],"guarantee":[149],"safety.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
