{"id":"https://openalex.org/W2400171109","doi":"https://doi.org/10.1109/tits.2016.2560131","title":"Long-Term Ship Speed Prediction for Intelligent Traffic Signaling","display_name":"Long-Term Ship Speed Prediction for Intelligent Traffic Signaling","publication_year":2016,"publication_date":"2016-05-22","ids":{"openalex":"https://openalex.org/W2400171109","doi":"https://doi.org/10.1109/tits.2016.2560131","mag":"2400171109"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2016.2560131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2560131","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5036597286","display_name":"Shaojun Gan","orcid":"https://orcid.org/0000-0002-7445-8386"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaojun Gan","raw_affiliation_strings":["Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021668905","display_name":"Shan Liang","orcid":"https://orcid.org/0000-0001-5328-4068"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Liang","raw_affiliation_strings":["Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109155846","display_name":"Kang Li","orcid":"https://orcid.org/0009-0007-0610-1864"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kang Li","raw_affiliation_strings":["School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108123119","display_name":"Jing Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Deng","raw_affiliation_strings":["School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083907729","display_name":"Tingli Cheng","orcid":"https://orcid.org/0000-0002-8060-3463"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingli Cheng","raw_affiliation_strings":["School of Electrical Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036597286"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":3.1385,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.9034053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"1","first_page":"82","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T10320","display_name":"Neural Networks and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.7092663645744324},{"id":"https://openalex.org/keywords/yangtze-river","display_name":"Yangtze river","score":0.6151819825172424},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6077338457107544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5605733394622803},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5273407697677612},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5182685256004333},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5095184445381165},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4797881245613098},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4497159421443939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3858276605606079},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3610168695449829},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3551539480686188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32672274112701416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23160016536712646},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12264403700828552}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7092663645744324},{"id":"https://openalex.org/C3018003528","wikidata":"https://www.wikidata.org/wiki/Q5413","display_name":"Yangtze river","level":3,"score":0.6151819825172424},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6077338457107544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605733394622803},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5273407697677612},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5182685256004333},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5095184445381165},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4797881245613098},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4497159421443939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3858276605606079},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3610168695449829},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3551539480686188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32672274112701416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23160016536712646},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12264403700828552},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2016.2560131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2560131","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:139090","is_oa":false,"landing_page_url":"http://eprints.whiterose.ac.uk/139090/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5423916968","display_name":null,"funder_award_id":"EP/L001063/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W602565010","https://openalex.org/W1537010932","https://openalex.org/W1840945935","https://openalex.org/W1852166568","https://openalex.org/W1974561467","https://openalex.org/W1995417155","https://openalex.org/W2010592512","https://openalex.org/W2022603014","https://openalex.org/W2037541235","https://openalex.org/W2045759663","https://openalex.org/W2050509466","https://openalex.org/W2050729568","https://openalex.org/W2051680981","https://openalex.org/W2058815839","https://openalex.org/W2071811776","https://openalex.org/W2077002103","https://openalex.org/W2089416746","https://openalex.org/W2095464704","https://openalex.org/W2097998348","https://openalex.org/W2102380305","https://openalex.org/W2110998784","https://openalex.org/W2111807801","https://openalex.org/W2118840131","https://openalex.org/W2129796157","https://openalex.org/W2135500128","https://openalex.org/W2137983211","https://openalex.org/W2139606794","https://openalex.org/W2152195021","https://openalex.org/W2154010977","https://openalex.org/W2168747298","https://openalex.org/W2317515769","https://openalex.org/W2365515088","https://openalex.org/W2396041434","https://openalex.org/W2402846924","https://openalex.org/W2488695714","https://openalex.org/W2491035845","https://openalex.org/W2543580944","https://openalex.org/W3146803896","https://openalex.org/W6638684567","https://openalex.org/W6674385629","https://openalex.org/W6682642761","https://openalex.org/W6699020758","https://openalex.org/W6711961907"],"related_works":["https://openalex.org/W4396760591","https://openalex.org/W2318158505","https://openalex.org/W2980611886","https://openalex.org/W2367115166","https://openalex.org/W2381688836","https://openalex.org/W2391550598","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2389373532","https://openalex.org/W2373978405"],"abstract_inverted_index":{"Yangtze":[0,219],"River":[1,220],"is":[2,52,117,135,157,174,183,196],"probably":[3],"the":[4,43,49,86,90,95,105,111,118,122,125,143,146,149,154,168,175,193,201,214],"world's":[5],"busiest":[6],"inland":[7],"waterway.":[8],"Ships":[9],"need":[10],"to":[11,31,54,70,212],"be":[12,55],"guided":[13],"when":[14],"passing":[15],"through":[16],"a":[17,38,67,129,179],"controlled":[18],"waterway":[19],"based":[20],"on":[21],"their":[22],"long-term":[23,80,186],"speed":[24,28,51,82,147,181],"prediction.":[25,187],"Inaccurate":[26],"ship":[27,50,81,180],"prediction":[29],"leads":[30],"nonoptimal":[32],"traffic":[33,40,46,216,224],"signaling,":[34],"which":[35,57,85,116],"may":[36],"cause":[37],"significant":[39],"jam.":[41],"For":[42],"existing":[44],"intelligent":[45,223],"signaling":[47,225],"system,":[48],"assumed":[53],"constant,":[56],"has":[58],"caused":[59],"many":[60],"problems":[61],"and":[62,102,148],"issues.":[63],"This":[64],"paper":[65],"proposes":[66],"novel":[68],"algorithm":[69],"construct":[71],"an":[72,222],"improved":[73],"multilayer":[74],"perceptron":[75],"(MLP)":[76],"network":[77,127],"for":[78,121,185,218],"accurate":[79],"prediction,":[83],"in":[84,128,197,221],"hidden":[87],"neurons":[88],"of":[89,104,124,142,153,170],"MLP":[91,126],"are":[92,107],"optimized":[93],"by":[94,109,137,160],"particle":[96],"swarm":[97],"optimization":[98],"method.":[99],"The":[100,133,151,188],"effectiveness":[101,152],"efficiency":[103],"method":[106,156],"guaranteed":[108],"using":[110],"orthogonal":[112],"least":[113],"squares":[114],"method,":[115],"fast":[119],"approach":[120],"construction":[123],"stepwise":[130],"forward":[131],"procedure.":[132],"model":[134,182,195],"driven":[136],"easily":[138],"acquired":[139],"dynamic":[140],"data":[141],"ships,":[144],"including":[145],"position.":[150],"proposed":[155],"further":[158],"confirmed":[159],"comparing":[161],"with":[162,200,204],"several":[163],"traditional":[164],"modeling":[165],"techniques.":[166],"To":[167],"best":[169],"our":[171],"knowledge,":[172],"this":[173],"first":[176],"time":[177],"that":[178,192],"built":[184],"experimental":[189],"results":[190],"show":[191],"developed":[194],"good":[198],"agreement":[199],"real-life":[202],"data,":[203],"more":[205],"than":[206],"97%":[207],"accuracy.":[208],"It":[209],"will":[210],"help":[211],"generate":[213],"optimal":[215],"commands":[217],"system.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
