{"id":"https://openalex.org/W4293228317","doi":"https://doi.org/10.1145/3529570.3529579","title":"Kalman Filter Using SOV Model with Maximum Versoria Criterion for Short-Term Traffic Flow Forecasting","display_name":"Kalman Filter Using SOV Model with Maximum Versoria Criterion for Short-Term Traffic Flow Forecasting","publication_year":2022,"publication_date":"2022-02-25","ids":{"openalex":"https://openalex.org/W4293228317","doi":"https://doi.org/10.1145/3529570.3529579"},"language":"en","primary_location":{"id":"doi:10.1145/3529570.3529579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529570.3529579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Digital Signal Processing","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/A5030559871","display_name":"Tingting Jiang","orcid":"https://orcid.org/0000-0002-1496-9416"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingting Jiang","raw_affiliation_strings":["Information science and technology, Southwest Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Information science and technology, Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423032","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-6895-0921"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Information science and technology, Southwest Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Information science and technology, Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030559871"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08678887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9955000281333923,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8639028072357178},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6024545431137085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.54363614320755},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.541661262512207},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5352471470832825},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5041431188583374},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.48959165811538696},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4206163287162781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37509602308273315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19645437598228455}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8639028072357178},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6024545431137085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54363614320755},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.541661262512207},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5352471470832825},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5041431188583374},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.48959165811538696},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4206163287162781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37509602308273315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19645437598228455},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529570.3529579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529570.3529579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1991410369","https://openalex.org/W2024558842","https://openalex.org/W2045420802","https://openalex.org/W2049777773","https://openalex.org/W2049952439","https://openalex.org/W2119043701","https://openalex.org/W2131767615","https://openalex.org/W2153511520","https://openalex.org/W2156206597","https://openalex.org/W2162896273","https://openalex.org/W2259087662","https://openalex.org/W2531846247","https://openalex.org/W2575125657","https://openalex.org/W2588195252","https://openalex.org/W2754981972","https://openalex.org/W2755431255","https://openalex.org/W2811340653","https://openalex.org/W2958321630"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W2020144404","https://openalex.org/W4372347353","https://openalex.org/W2149615975","https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W2113617130"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,58],"prediction":[4,18,113,133],"method":[5,114],"by":[6],"combining":[7],"second-order":[8,51,69],"Volterra":[9,52,70],"(SOV)":[10,53],"model":[11,24,42,117,127,130],"and":[12,92,128],"Kalman":[13,23,41,66,138],"filter":[14,54],"to":[15,49,136],"further":[16],"improve":[17],"accuracy":[19,134],"of":[20,61],"the":[21,39,50,64,79,88,125],"traditional":[22,40,65,93,137],"in":[25,34,87],"short-term":[26],"traffic":[27,35,89],"flow":[28,36,90],"forecasting.":[29],"Nonlinear":[30],"relationship":[31],"may":[32],"exist":[33],"data,":[37],"but":[38],"cannot":[43],"deal":[44,56],"with":[45,57,68],"this":[46],"problem.":[47],"Due":[48],"can":[55],"general":[59],"class":[60],"nonlinear":[62],"systems,":[63],"combines":[67],"model,":[71,74],"named":[72],"SOV-KF":[73,126],"is":[75,82,118],"presented.":[76],"Furthermore,":[77],"since":[78],"Gaussian":[80],"assumption":[81],"not":[83,101],"always":[84],"be":[85],"fulfilled":[86],"data":[91],"minimum":[94],"mean":[95],"square":[96],"error":[97],"(MMSE)":[98],"criterion":[99],"do":[100],"perform":[102],"well":[103],"under":[104],"non-Gaussian":[105],"noises.":[106],"By":[107],"introducing":[108],"maximum":[109],"Versoria":[110],"criterion,":[111],"another":[112],"called":[115],"SOV-MVKF":[116,129],"also":[119],"proposed.":[120],"Simulation":[121],"results":[122],"show":[123],"that":[124],"provide":[131],"higher":[132],"compared":[135],"model.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
