{"id":"https://openalex.org/W4313008809","doi":"https://doi.org/10.1145/3556384.3556385","title":"Vessel Traffic Flow Prediction Using LSTM Encoder-Decoder","display_name":"Vessel Traffic Flow Prediction Using LSTM Encoder-Decoder","publication_year":2022,"publication_date":"2022-08-04","ids":{"openalex":"https://openalex.org/W4313008809","doi":"https://doi.org/10.1145/3556384.3556385"},"language":"en","primary_location":{"id":"doi:10.1145/3556384.3556385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556384.3556385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Machine Learning","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/A5100339240","display_name":"Ye Li","orcid":"https://orcid.org/0000-0002-6917-8865"},"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":"Ye Li","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101978415","display_name":"Hongxiang Ren","orcid":"https://orcid.org/0000-0002-4321-4389"},"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":"Hongxiang Ren","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.4402,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62018528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9926999807357788,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.9552000164985657,"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/computer-science","display_name":"Computer science","score":0.7611862421035767},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6538708209991455},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5969036221504211},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5164659023284912},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.45483818650245667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44097936153411865},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3455813527107239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3230890929698944},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11743870377540588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611862421035767},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6538708209991455},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5969036221504211},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5164659023284912},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.45483818650245667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44097936153411865},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3455813527107239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3230890929698944},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11743870377540588},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3556384.3556385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556384.3556385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2032057266","https://openalex.org/W2042452650","https://openalex.org/W2073640212","https://openalex.org/W2131739422","https://openalex.org/W2343567063","https://openalex.org/W2604862142","https://openalex.org/W2753820606","https://openalex.org/W2770006404","https://openalex.org/W2772470897","https://openalex.org/W2800296055","https://openalex.org/W2806583527","https://openalex.org/W2889230014","https://openalex.org/W2944851425","https://openalex.org/W2962686190","https://openalex.org/W2963309363","https://openalex.org/W2994943641","https://openalex.org/W3034077089","https://openalex.org/W3038719270","https://openalex.org/W3195893246","https://openalex.org/W3208221721"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W2379948177","https://openalex.org/W2180469977"],"abstract_inverted_index":{"Accurate":[0],"vessel":[1,36,56,63,70,85,124,141],"traffic":[2,37,57,64,71,86,125,142],"flow":[3,38,72,87],"prediction":[4,41,54,116,133,150],"is":[5,50,73,101],"of":[6,12,14,19,25,35,55,69,79,89,97,140],"vital":[7],"indispensable":[8],"for":[9,52,107],"the":[10,16,23,26,33,77,90,94,98,104,114,131,138,144],"enhancement":[11],"capability":[13],"navigation,":[15],"optimal":[17],"allocation":[18],"port":[20],"resources":[21],"and":[22,111,118],"improvement":[24],"navigation":[27],"safety.":[28],"In":[29,59],"order":[30,60],"to":[31,61],"improve":[32],"accuracy":[34],"prediction,":[39],"a":[40,66],"approach":[42,68,134,146],"based":[43],"on":[44],"Long":[45],"Short-Term":[46],"Memory":[47],"Encoder-Decoder":[48],"(LSTM-ED)":[49],"proposed":[51,74,132],"multi-step":[53],"flow.":[58,126],"study":[62],"flow,":[65,143],"statistical":[67],"by":[75],"using":[76],"data":[78,88,106],"Automatic":[80],"Identification":[81],"System":[82],"(AIS).":[83],"The":[84],"Liuhe":[91],"Waterway":[92],"in":[93,122],"Jiangsu":[95],"section":[96],"Yangtze":[99],"River":[100],"selected":[102],"as":[103],"experimental":[105],"model":[108,117],"training,":[109],"validating":[110],"testing.":[112],"Build":[113],"LSTM-ED-based":[115,145],"verify":[119],"its":[120],"validity":[121],"predicting":[123],"Experimental":[127],"results":[128],"show":[129],"that":[130],"can":[135,147],"accurately":[136],"predict":[137],"trend":[139],"obtain":[148],"better":[149],"performance":[151],"compared":[152],"with":[153],"other":[154],"baseline":[155],"methods.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
