{"id":"https://openalex.org/W2118579359","doi":"https://doi.org/10.1109/tvt.2011.2158866","title":"Vehicular Congestion Detection and Short-Term Forecasting: A New Model With Results","display_name":"Vehicular Congestion Detection and Short-Term Forecasting: A New Model With Results","publication_year":2011,"publication_date":"2011-06-10","ids":{"openalex":"https://openalex.org/W2118579359","doi":"https://doi.org/10.1109/tvt.2011.2158866","mag":"2118579359"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2011.2158866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2011.2158866","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5012845043","display_name":"Gustavo Marfia","orcid":"https://orcid.org/0000-0003-3058-8004"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gustavo Marfia","raw_affiliation_strings":["Computer Science Department, University of Bologna, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025338247","display_name":"Marco Roccetti","orcid":"https://orcid.org/0000-0003-1264-8595"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Roccetti","raw_affiliation_strings":["Computer Science Department, University of Bologna, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012845043"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":15.9103,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.99129669,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"60","issue":"7","first_page":"2936","last_page":"2948"},"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":0.9991999864578247,"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":0.9983999729156494,"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/traverse","display_name":"Traverse","score":0.6990311145782471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299608945846558},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.573398232460022},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5523345470428467},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.545975387096405},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.5413579344749451},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.49559128284454346},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4904730021953583},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.46048790216445923},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.42168763279914856},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4161968231201172},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26756399869918823},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1723092794418335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16135868430137634},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09206545352935791}],"concepts":[{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.6990311145782471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299608945846558},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.573398232460022},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5523345470428467},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.545975387096405},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.5413579344749451},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49559128284454346},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4904730021953583},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.46048790216445923},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.42168763279914856},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4161968231201172},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26756399869918823},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1723092794418335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16135868430137634},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09206545352935791},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2011.2158866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2011.2158866","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:cris.unibo.it:11585/102647","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/102647","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W138497752","https://openalex.org/W583292961","https://openalex.org/W596008893","https://openalex.org/W1973403654","https://openalex.org/W1988426485","https://openalex.org/W2002296372","https://openalex.org/W2032541648","https://openalex.org/W2036405443","https://openalex.org/W2045174117","https://openalex.org/W2073942943","https://openalex.org/W2082030534","https://openalex.org/W2092541891","https://openalex.org/W2093912930","https://openalex.org/W2104286935","https://openalex.org/W2105901624","https://openalex.org/W2111991989","https://openalex.org/W2112199864","https://openalex.org/W2126070591","https://openalex.org/W2130005289","https://openalex.org/W2137088566","https://openalex.org/W2138460464","https://openalex.org/W2156016055","https://openalex.org/W2157700437","https://openalex.org/W2163166882","https://openalex.org/W2168791259","https://openalex.org/W2171691110","https://openalex.org/W3124636863","https://openalex.org/W3126367302","https://openalex.org/W6617115289","https://openalex.org/W6675564476"],"related_works":["https://openalex.org/W301804496","https://openalex.org/W4391115038","https://openalex.org/W1993589848","https://openalex.org/W2074943018","https://openalex.org/W2042439812","https://openalex.org/W2972320057","https://openalex.org/W2897741166","https://openalex.org/W2587362999","https://openalex.org/W4390987329","https://openalex.org/W2361581724"],"abstract_inverted_index":{"While":[0],"vehicular":[1],"congestion":[2,190],"is":[3,29,66,88,115,148],"very":[4],"often":[5],"defined":[6],"in":[7,67,83,90],"terms":[8],"of":[9,31,34,80,146,158,172,178,212],"aggregate":[10],"parameters,":[11],"such":[12],"as":[13,160],"traffic":[14,53,180,189],"volume":[15],"and":[16,119],"lane":[17],"occupancies,":[18],"based":[19],"on":[20,95,202],"recent":[21],"findings,":[22],"the":[23,44,78,84,91,122,170,210],"interpretation":[24],"that":[25,30,124,149],"receives":[26],"most":[27],"credit":[28],"a":[32,35,41,58,64,68,125,134,165],"state":[33,70,87,128],"road":[36,65,110,174],"where":[37],"traversing":[38],"vehicles":[39],"experience":[40],"delay":[42],"exceeding":[43],"maximum":[45],"value":[46],"typically":[47],"incurred":[48],"under":[49],"light":[50,181],"or":[51,74,117],"free-flow":[52],"conditions.":[54],"We":[55,196],"here":[56],"propose":[57],"new":[59,97],"definition":[60],"according":[61],"to":[62,155],"which":[63],"congested":[69,86,116,127],"(be":[71],"it":[72,82,114,150,161,185],"high":[73,89],"low)":[75],"only":[76],"when":[77],"likelihood":[79],"finding":[81],"same":[85],"near":[92],"future.":[93],"Based":[94],"this":[96],"definition,":[98],"we":[99],"devised":[100],"an":[101,143],"algorithm":[102],"that,":[103],"exploiting":[104],"probe":[105],"vehicles,":[106],"for":[107,131,192],"any":[108,139,156,164,173,193],"given":[109,135,194],"1)":[111],"identifies":[112],"if":[113],"not":[118],"2)":[120],"provides":[121],"estimation":[123,171],"current":[126],"will":[129],"last":[130],"at":[132],"least":[133],"time":[136],"interval.":[137],"Unlike":[138],"other":[140],"existing":[141],"approach,":[142],"important":[144],"advantage":[145],"ours":[147],"can":[151],"generally":[152],"be":[153],"applied":[154],"type":[157],"road,":[159],"neither":[162],"needs":[163],"priori":[166],"knowledge":[167],"nor":[168],"requires":[169],"parameter":[175],"(e.g.,":[176],"number":[177],"lanes,":[179],"cycle,":[182],"etc.).":[183],"Further,":[184],"allows":[186],"performing":[187],"short-term":[188],"forecasting":[191],"road.":[195],"present":[197],"several":[198],"field":[199],"trials":[200],"gathered":[201],"different":[203],"urban":[204],"roads":[205],"whose":[206],"empirical":[207],"results":[208],"confirm":[209],"validity":[211],"our":[213],"approach.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}