{"id":"https://openalex.org/W2895931553","doi":"https://doi.org/10.1155/2018/5469428","title":"Forecasting Short-Term Traffic Flow by Fuzzy Wavelet Neural Network with Parameters Optimized by Biogeography-Based Optimization Algorithm","display_name":"Forecasting Short-Term Traffic Flow by Fuzzy Wavelet Neural Network with Parameters Optimized by Biogeography-Based Optimization Algorithm","publication_year":2018,"publication_date":"2018-10-08","ids":{"openalex":"https://openalex.org/W2895931553","doi":"https://doi.org/10.1155/2018/5469428","mag":"2895931553","pmid":"https://pubmed.ncbi.nlm.nih.gov/30402084"},"language":"en","primary_location":{"id":"doi:10.1155/2018/5469428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5469428","pdf_url":"http://downloads.hindawi.com/journals/cin/2018/5469428.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/cin/2018/5469428.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002555670","display_name":"Jeng-Fung Chen","orcid":"https://orcid.org/0000-0003-2100-3182"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jeng-Fung Chen","raw_affiliation_strings":["Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung 40724, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung 40724, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022932384","display_name":"Shih-Kuei Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Kuei Lo","raw_affiliation_strings":["Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung 40724, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung 40724, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037578179","display_name":"Quang Hung","orcid":"https://orcid.org/0000-0002-8937-5102"},"institutions":[{"id":"https://openalex.org/I4210138918","display_name":"University Of Transport Technology","ror":"https://ror.org/04dp8y877","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210138918"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Quang Hung Do","raw_affiliation_strings":["Faculty of Information Technology, University of Transport Technology, Hanoi 100000, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Transport Technology, Hanoi 100000, Vietnam","institution_ids":["https://openalex.org/I4210138918"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037578179"],"corresponding_institution_ids":["https://openalex.org/I4210138918"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":2.2604,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87354985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10524","display_name":"Traffic control and management","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9782999753952026,"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/term","display_name":"Term (time)","score":0.6437182426452637},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6272437572479248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6230062246322632},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5645394921302795},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5441452264785767},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5403417348861694},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4731522500514984},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.426250696182251},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3903936743736267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38661396503448486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36201584339141846},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.19719251990318298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15578454732894897}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6437182426452637},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6272437572479248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6230062246322632},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5645394921302795},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5441452264785767},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5403417348861694},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4731522500514984},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.426250696182251},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3903936743736267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38661396503448486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36201584339141846},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.19719251990318298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15578454732894897},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001519","descriptor_name":"Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001519","descriptor_name":"Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001519","descriptor_name":"Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014186","descriptor_name":"Transportation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2018/5469428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5469428","pdf_url":"http://downloads.hindawi.com/journals/cin/2018/5469428.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:30402084","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30402084","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:europepmc.org:5164825","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6196985","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6196985","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6196985","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2018/5469428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/5469428","pdf_url":"http://downloads.hindawi.com/journals/cin/2018/5469428.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6700000166893005,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G5538112395","display_name":null,"funder_award_id":"MOST 106-2221-E-035-069","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2895931553.pdf","grobid_xml":"https://content.openalex.org/works/W2895931553.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1488507952","https://openalex.org/W1580599415","https://openalex.org/W1967444754","https://openalex.org/W1970452021","https://openalex.org/W1973943669","https://openalex.org/W1982978808","https://openalex.org/W1990900994","https://openalex.org/W2006447203","https://openalex.org/W2012169285","https://openalex.org/W2027131702","https://openalex.org/W2036785686","https://openalex.org/W2036848256","https://openalex.org/W2057042593","https://openalex.org/W2058326618","https://openalex.org/W2059128538","https://openalex.org/W2075990178","https://openalex.org/W2087443150","https://openalex.org/W2092773707","https://openalex.org/W2093263923","https://openalex.org/W2111991989","https://openalex.org/W2115304016","https://openalex.org/W2131739422","https://openalex.org/W2132711183","https://openalex.org/W2143608030","https://openalex.org/W2166009976","https://openalex.org/W2168081761","https://openalex.org/W2220444234","https://openalex.org/W2522608714"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2059273319","https://openalex.org/W2014650515"],"abstract_inverted_index":{"Forecasting":[0],"short-term":[1,45],"traffic":[2,20,46,50],"flow":[3,47],"is":[4,55,141,179],"a":[5,30,180],"key":[6],"task":[7],"of":[8,80,97],"intelligent":[9],"transportation":[10,98],"systems,":[11],"which":[12],"can":[13],"influence":[14],"the":[15,58,66,71,78,88,93,126,133,138,161,176],"traveler":[16],"behaviors":[17],"and":[18,24,61,69,87,95,100,118,152,167],"reduce":[19],"congestion,":[21],"fuel":[22],"consumption,":[23],"accident":[25],"risks.":[26],"This":[27],"paper":[28],"proposes":[29],"fuzzy":[31,81],"wavelet":[32,83],"neural":[33,85],"network":[34],"(FWNN)":[35],"trained":[36],"by":[37,57],"improved":[38],"biogeography-based":[39],"optimization":[40],"(BBO)":[41],"algorithm":[42,90],"for":[43],"forecasting":[44,111],"using":[48],"past":[49],"data.":[51],"The":[52,156],"original":[53],"BBO":[54],"enhanced":[56],"ring":[59],"topology":[60],"Powell's":[62],"method":[63],"to":[64,91,106,124,131],"advance":[65],"exploration":[67],"capability":[68],"increase":[70],"convergence":[72],"speed.":[73],"Our":[74],"presented":[75],"approach":[76],"combines":[77],"strengths":[79],"logic,":[82],"transform,":[84],"network,":[86],"heuristic":[89],"detect":[92],"trends":[94],"patterns":[96],"data":[99],"thus":[101],"has":[102],"been":[103],"successfully":[104],"applied":[105],"transport":[107],"forecasting.":[108],"Other":[109],"different":[110,136],"methods,":[112,137],"including":[113],"ANN-based":[114],"model,":[115,117,120],"FWNN-based":[116],"WNN-based":[119],"are":[121],"also":[122],"developed":[123],"validate":[125],"proposed":[127],"approach.":[128],"In":[129],"order":[130],"make":[132],"comparisons":[134],"across":[135],"performance":[139,157],"evaluation":[140],"based":[142],"on":[143],"root-mean-squared":[144],"error":[145,150],"(RMSE),":[146],"mean":[147],"absolute":[148],"percentage":[149],"(MAPE),":[151],"correlation":[153],"coefficient":[154],"(<i>R</i>).":[155],"indexes":[158],"show":[159],"that":[160,175],"FWNN":[162,177],"model":[163,178],"achieves":[164],"lower":[165],"RMSE":[166],"MAPE,":[168],"as":[169,171],"well":[170],"higher":[172],"<i>R</i>,":[173],"indicating":[174],"better":[181],"predictor.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}