{"id":"https://openalex.org/W2070321592","doi":"https://doi.org/10.1109/tits.2013.2287512","title":"Negative Binomial Additive Models for Short-Term Traffic Flow Forecasting in Urban Areas","display_name":"Negative Binomial Additive Models for Short-Term Traffic Flow Forecasting in Urban Areas","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2070321592","doi":"https://doi.org/10.1109/tits.2013.2287512","mag":"2070321592"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2013.2287512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2013.2287512","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/A5026047368","display_name":"Yousef\u2010Awwad Daraghmi","orcid":"https://orcid.org/0000-0001-9126-376X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yousef-Awwad Daraghmi","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111428778","display_name":"Chih\u2010Wei Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Wei Yi","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110210162","display_name":"Tsun-Chieh Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsun-Chieh Chiang","raw_affiliation_strings":["Division of Communication Systems, Information and Communication Research Laboratory, Industrial Technology Research Institute, Hsinchu, Taiwan","Div. for Telematics & Vehicular Control Syst., ICL/ITRI, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Communication Systems, Information and Communication Research Laboratory, Industrial Technology Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]},{"raw_affiliation_string":"Div. for Telematics & Vehicular Control Syst., ICL/ITRI, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026047368"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":3.7638,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.92396758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"784","last_page":"793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9923999905586243,"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/negative-binomial-distribution","display_name":"Negative binomial distribution","score":0.6607249975204468},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6019324660301208},{"id":"https://openalex.org/keywords/overdispersion","display_name":"Overdispersion","score":0.5701329112052917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5402308702468872},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5221512913703918},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4935706853866577},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4689832329750061},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3999595046043396},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28503620624542236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22968214750289917},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17746704816818237},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.12587928771972656},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.08842667937278748}],"concepts":[{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.6607249975204468},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6019324660301208},{"id":"https://openalex.org/C117236510","wikidata":"https://www.wikidata.org/wiki/Q7113620","display_name":"Overdispersion","level":4,"score":0.5701329112052917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5402308702468872},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5221512913703918},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4935706853866577},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4689832329750061},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3999595046043396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28503620624542236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22968214750289917},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17746704816818237},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.12587928771972656},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.08842667937278748},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2013.2287512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2013.2287512","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G408196415","display_name":null,"funder_award_id":"101-EC-17-A-05-01-1111","funder_id":"https://openalex.org/F4320322214","funder_display_name":"Industrial Technology Research Institute"},{"id":"https://openalex.org/G4485412189","display_name":null,"funder_award_id":"B352BW11 00","funder_id":"https://openalex.org/F4320322214","funder_display_name":"Industrial Technology Research Institute"},{"id":"https://openalex.org/G8489986984","display_name":null,"funder_award_id":"101-EC-17-A-03-01-0619","funder_id":"https://openalex.org/F4320322214","funder_display_name":"Industrial Technology Research Institute"},{"id":"https://openalex.org/G8700670667","display_name":null,"funder_award_id":"B301EA3300","funder_id":"https://openalex.org/F4320322214","funder_display_name":"Industrial Technology Research Institute"}],"funders":[{"id":"https://openalex.org/F4320322214","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W626976659","https://openalex.org/W1508722774","https://openalex.org/W1556631438","https://openalex.org/W1605343822","https://openalex.org/W1856288208","https://openalex.org/W1972841873","https://openalex.org/W1973943669","https://openalex.org/W1983483726","https://openalex.org/W1991770012","https://openalex.org/W2001409669","https://openalex.org/W2009267533","https://openalex.org/W2010828625","https://openalex.org/W2013050169","https://openalex.org/W2027392238","https://openalex.org/W2057918527","https://openalex.org/W2060495373","https://openalex.org/W2071258353","https://openalex.org/W2079662306","https://openalex.org/W2082533141","https://openalex.org/W2087972273","https://openalex.org/W2094350745","https://openalex.org/W2097498150","https://openalex.org/W2107124295","https://openalex.org/W2111807801","https://openalex.org/W2123128008","https://openalex.org/W2131819535","https://openalex.org/W2133747588","https://openalex.org/W2135009431","https://openalex.org/W2139606794","https://openalex.org/W2145039203","https://openalex.org/W2150010190","https://openalex.org/W2150152686","https://openalex.org/W2156793027","https://openalex.org/W2163643230","https://openalex.org/W2165191341","https://openalex.org/W2166163519","https://openalex.org/W2166988467","https://openalex.org/W2168332608","https://openalex.org/W2171118265","https://openalex.org/W2753666478","https://openalex.org/W2797583072","https://openalex.org/W3112717819","https://openalex.org/W4249303080","https://openalex.org/W4298870098","https://openalex.org/W6630348482","https://openalex.org/W6636100765"],"related_works":["https://openalex.org/W3162047386","https://openalex.org/W1570034871","https://openalex.org/W2556931687","https://openalex.org/W2885569989","https://openalex.org/W2189104843","https://openalex.org/W2060831261","https://openalex.org/W4246952616","https://openalex.org/W2041256494","https://openalex.org/W4389103531","https://openalex.org/W3122903216"],"abstract_inverted_index":{"Parallel,":[0],"coordinated,":[1],"and":[2,8,17,70,80,97,113,128,132,145],"network-wide":[3],"traffic":[4,10,30,118],"management":[5],"requires":[6],"accurate":[7,112],"efficient":[9,114],"forecasting":[11,41,51,101,117],"models":[12,61,72],"to":[13,67,75,90],"support":[14],"online,":[15],"real-time,":[16],"proactive":[18],"dynamic":[19],"control.":[20],"Forecast":[21],"accuracy":[22],"is":[23,54,65,88,110,125],"impacted":[24],"by":[25,130],"a":[26,47],"critical":[27],"characteristic":[28],"of":[29,40],"flow,":[31],"i.e.,":[32],"overdispersion.":[33],"Efficiency":[34],"depends":[35],"on":[36,56],"the":[37,57,85,107,138],"time":[38],"complexity":[39],"algorithms.":[42],"Therefore,":[43],"this":[44],"paper":[45],"proposes":[46],"novel":[48],"spatiotemporal":[49],"multivariate":[50],"model":[52,109],"that":[53,106],"based":[55],"negative":[58],"binomial":[59,64],"additive":[60,71],"(NBAMs).":[62],"Negative":[63],"utilized":[66],"handle":[68],"overdispersion,":[69],"are":[73],"used":[74],"efficiently":[76],"smooth":[77],"nonlinear":[78],"spatial":[79],"temporal":[81],"variables.":[82],"To":[83],"evaluate":[84],"model,":[86],"it":[87],"applied":[89],"real-world":[91],"data":[92],"collected":[93],"from":[94],"Taipei":[95],"City":[96],"compared":[98],"with":[99],"other":[100],"models.":[102],"The":[103],"results":[104],"indicate":[105],"proposed":[108],"an":[111],"approach":[115],"in":[116,120],"flow":[119,124],"urban":[121],"context":[122],"where":[123],"overdispersed,":[126],"autocorrelated,":[127],"influenced":[129],"upstream":[131],"downstream":[133],"roads":[134],"as":[135,137],"well":[136],"daily":[139],"seasonal":[140],"patterns,":[141],"namely,":[142],"low-,":[143],"moderate-,":[144],"high-traffic":[146],"seasons.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
