{"id":"https://openalex.org/W3202831590","doi":"https://doi.org/10.1109/spac53836.2021.9539945","title":"Application of PSO-LSTM for Forecasting of Ship Traffic Flow","display_name":"Application of PSO-LSTM for Forecasting of Ship Traffic Flow","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3202831590","doi":"https://doi.org/10.1109/spac53836.2021.9539945","mag":"3202831590"},"language":"en","primary_location":{"id":"doi:10.1109/spac53836.2021.9539945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac53836.2021.9539945","pdf_url":null,"source":{"id":"https://openalex.org/S4306498851","display_name":"2021 International Conference on Security, Pattern Analysis, and Cybernetics\uff08SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Security, Pattern Analysis, and Cybernetics\uff08SPAC)","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/A5064743925","display_name":"Haoxuan Zhou","orcid":"https://orcid.org/0000-0002-8294-3912"},"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":"Haoxuan Zhou","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/A5101742272","display_name":"Yi Zuo","orcid":"https://orcid.org/0000-0002-2523-8790"},"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":["Collaborative Innovation Center of Maritime Big Data & Shipping Artificial General Intelligence, Dalian, China","Navigation College, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Maritime Big Data & Shipping Artificial General Intelligence, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tieshan Li","raw_affiliation_strings":["School of Automation Engineering, University of Electtronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electtronic Science and Technology of China, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371500","display_name":"Shanshan Li","orcid":"https://orcid.org/0000-0002-9021-8470"},"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":"Shanshan Li","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2402,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92351779,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"298","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9901999831199646,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9894000291824341,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9617999792098999,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8346202373504639},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7008625864982605},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6566158533096313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6277869939804077},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.5725549459457397},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.520232081413269},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.43691015243530273},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.4218769669532776},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4109012484550476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3833926320075989},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3109264373779297},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1738286316394806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13637089729309082}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8346202373504639},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7008625864982605},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6566158533096313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277869939804077},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.5725549459457397},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.520232081413269},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.43691015243530273},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4218769669532776},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4109012484550476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3833926320075989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3109264373779297},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1738286316394806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13637089729309082},{"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/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/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/spac53836.2021.9539945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac53836.2021.9539945","pdf_url":null,"source":{"id":"https://openalex.org/S4306498851","display_name":"2021 International Conference on Security, Pattern Analysis, and Cybernetics\uff08SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Security, Pattern Analysis, and Cybernetics\uff08SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.6600000262260437}],"awards":[{"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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2152195021","https://openalex.org/W2165171393","https://openalex.org/W2375848648","https://openalex.org/W2543580944","https://openalex.org/W2770006404","https://openalex.org/W2821321812","https://openalex.org/W2908074506","https://openalex.org/W2982706860","https://openalex.org/W3004777910","https://openalex.org/W3102829843","https://openalex.org/W4249970585"],"related_works":["https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4285794683","https://openalex.org/W4286256617","https://openalex.org/W4385195237","https://openalex.org/W4362673848","https://openalex.org/W4319441652","https://openalex.org/W2621951291"],"abstract_inverted_index":{"Ship":[0],"traffic":[1,44],"flow":[2,45],"prediction":[3,28,95,138,141],"is":[4,36,62,126,133,143],"facing":[5],"many":[6,14],"problems":[7],"at":[8,48],"present,":[9],"such":[10],"as":[11],"high":[12],"randomness,":[13],"influencing":[15],"factors":[16],"and":[17,106],"low":[18],"accuracy.":[19],"In":[20],"this":[21,98],"paper,":[22],"a":[23],"long":[24],"short-term":[25],"memory":[26],"(LSTM)":[27],"model":[29,56,73,99,105,125],"based":[30,76],"on":[31,77],"particle":[32],"swarm":[33],"optimization":[34],"(PSO)":[35],"proposed":[37],"to":[38,59,64],"improve":[39],"the":[40,49,52,66,78,81,90,103,117,124,128,140],"accuracy":[41,142],"of":[42,54,68,80,83,89,97,123],"ship":[43],"prediction.":[46],"Aiming":[47],"problem":[50],"that":[51,116],"parameters":[53,67],"LSTM":[55,69,104],"are":[57,100],"difficult":[58],"select,":[60],"PSO":[61],"used":[63],"optimize":[65],"model.":[70,111],"The":[71,94,112],"PSOLSTM":[72],"was":[74],"constructed":[75],"data":[79],"intersections":[82],"inland":[84],"waterways":[85],"in":[86],"Huaian":[87],"section":[88],"Beijing-Hangzhou":[91],"Grand":[92],"Canal.":[93],"results":[96,114],"compared":[101],"with":[102,136],"Support":[107],"Vector":[108],"Regression":[109],"(SVR)":[110],"experimental":[113],"show":[115],"root":[118],"mean":[119,129],"square":[120],"error":[121,131],"(RMSE)":[122],"2.211,":[127],"absolute":[130],"(MAE)":[132],"2.068.":[134],"Compared":[135],"other":[137],"models,":[139],"improved":[144],"obviously.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
