{"id":"https://openalex.org/W2057482568","doi":"https://doi.org/10.1109/itsc.2013.6728223","title":"Bayesian Support Vector Regression for traffic speed prediction with error bars","display_name":"Bayesian Support Vector Regression for traffic speed prediction with error bars","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2057482568","doi":"https://doi.org/10.1109/itsc.2013.6728223","mag":"2057482568"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2013.6728223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/86893","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034634263","display_name":"G Gopi","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Gaurav Gopi","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082613025","display_name":"Justin Dauwels","orcid":"https://orcid.org/0000-0002-4390-1568"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Justin Dauwels","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109489129","display_name":"Muhammad Tayyab Asif","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Muhammad Tayyab Asif","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091002582","display_name":"Sridhar Ashwin","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sridhar Ashwin","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086550237","display_name":"Nikola Mitrovi\u0107","orcid":"https://orcid.org/0000-0002-5057-848X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Nikola Mitrovic","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033072319","display_name":"Umer Rasheed","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Umer Rasheed","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109246810","display_name":"Patrick Jaillet","orcid":"https://orcid.org/0000-0002-8585-6566"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Jaillet","raw_affiliation_strings":["MIT, Laboratory for Information and Decision Systems, Cambridge, MA","Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"MIT, Laboratory for Information and Decision Systems, Cambridge, MA","institution_ids":["https://openalex.org/I4210143601"]},{"raw_affiliation_string":"Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034634263"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":3.8116,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92691768,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"141"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9883000254631042,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7612329721450806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7117733955383301},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6337897181510925},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5570477247238159},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.5504636764526367},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5216058492660522},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5142552256584167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48883241415023804},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4775691628456116},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4682976305484772},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4355495870113373},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4287432134151459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36840349435806274},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17750224471092224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1675722301006317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1044149100780487}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7612329721450806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117733955383301},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6337897181510925},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5570477247238159},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.5504636764526367},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5216058492660522},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5142552256584167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48883241415023804},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4775691628456116},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4682976305484772},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4355495870113373},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4287432134151459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36840349435806274},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17750224471092224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1675722301006317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1044149100780487},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/itsc.2013.6728223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.367.2966","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.2966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.mit.edu/jaillet/www/general/itsc13-bsvr.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.707.2262","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.707.2262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dauwels.com/Papers/BSVR_for%20Traffic%20Speed%20Prediction.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/86893","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/86893","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/86893","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/86893","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1567323455","https://openalex.org/W1580637085","https://openalex.org/W1964357740","https://openalex.org/W2002310850","https://openalex.org/W2022740958","https://openalex.org/W2029486861","https://openalex.org/W2035670852","https://openalex.org/W2045420802","https://openalex.org/W2046584949","https://openalex.org/W2069929199","https://openalex.org/W2108196201","https://openalex.org/W2111051539","https://openalex.org/W2129869373","https://openalex.org/W2139628333","https://openalex.org/W2143833218","https://openalex.org/W2768879694","https://openalex.org/W4206180546","https://openalex.org/W6679262826"],"related_works":["https://openalex.org/W2811187992","https://openalex.org/W3042921537","https://openalex.org/W803509314","https://openalex.org/W1995617853","https://openalex.org/W2132491819","https://openalex.org/W2963499961","https://openalex.org/W2062353994","https://openalex.org/W4360615906","https://openalex.org/W2359189099","https://openalex.org/W335743615"],"abstract_inverted_index":{"Traffic":[0],"prediction":[1,21,38,51,68,84,91,130,135],"algorithms":[2,18,42],"can":[3,70],"help":[4],"improve":[5],"the":[6,27,64,80,110,122,138],"performance":[7,139],"of":[8,34,124,140],"Intelligent":[9],"Transportation":[10],"Systems":[11],"(ITS).":[12],"To":[13,93],"this":[14,95],"end,":[15],"ITS":[16],"require":[17,31],"with":[19,37,52,109],"high":[20,54],"accuracy.":[22,55],"For":[23],"more":[24],"robust":[25],"performance,":[26],"traffic":[28,50,112],"systems":[29],"also":[30],"a":[32],"measure":[33],"uncertainty":[35],"associated":[36,65],"data.":[39],"Data":[40],"driven":[41],"such":[43],"as":[44,144,146],"Support":[45,100],"Vector":[46,101],"Regression":[47,102],"(SVR)":[48],"perform":[49,115,133],"overall":[53],"However,":[56],"they":[57],"do":[58],"not":[59],"provide":[60],"any":[61],"information":[62],"about":[63],"uncertainty.":[66],"The":[67],"error":[69,106],"only":[71],"be":[72],"calculated":[73],"once":[74],"field":[75],"data":[76],"becomes":[77],"available.":[78],"Consequently,":[79],"applications":[81],"which":[82],"use":[83],"data,":[85],"remain":[86],"vulnerable":[87],"to":[88,120],"variations":[89,128],"in":[90,126,129],"error.":[92,131],"overcome":[94],"issue,":[96],"we":[97],"propose":[98],"Bayesian":[99],"(BSVR).":[103],"BSVR":[104,125,141],"provides":[105],"bars":[107],"along":[108],"predicted":[111],"states.":[113],"We":[114,132],"sensitivity":[116],"and":[117,136],"specificity":[118],"analysis":[119],"evaluate":[121],"efficiency":[123],"anticipating":[127],"multi-horizon":[134],"analyze":[137],"for":[142],"expressways":[143],"well":[145],"general":[147],"road":[148],"segments.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
