{"id":"https://openalex.org/W1979823455","doi":"https://doi.org/10.1109/itsc.2012.6338686","title":"Calibration of microscopic traffic flow models against time-series data","display_name":"Calibration of microscopic traffic flow models against time-series data","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1979823455","doi":"https://doi.org/10.1109/itsc.2012.6338686","mag":"1979823455"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2012.6338686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2012.6338686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 15th International IEEE Conference on Intelligent Transportation Systems","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/A5062070169","display_name":"Marcello Montanino","orcid":"https://orcid.org/0000-0003-0445-3499"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"M. Montanino","raw_affiliation_strings":["Department of Transportation Engineering, University of Naples Federico II, Napoli, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Transportation Engineering, University of Naples Federico II, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028266776","display_name":"Biagio Ciuffo","orcid":"https://orcid.org/0000-0003-3734-4264"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"B. Ciuffo","raw_affiliation_strings":["European Commission Joint Research Centre, Institute for the Environment and Sustainability, Ispra Varese, Varese, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Commission Joint Research Centre, Institute for the Environment and Sustainability, Ispra Varese, Varese, Italy","institution_ids":["https://openalex.org/I4210118689"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028652406","display_name":"Vincenzo Punzo","orcid":"https://orcid.org/0000-0002-3656-4145"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]},{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"V. Punzo","raw_affiliation_strings":["European Commission Joint Research Centre, Institute for Energy and Transport, Ispra Varese, Varese, Italy","University of Naples Federico II, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Commission Joint Research Centre, Institute for Energy and Transport, Ispra Varese, Varese, Italy","institution_ids":["https://openalex.org/I4210118689"]},{"raw_affiliation_string":"University of Naples Federico II, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062070169"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":2.2731,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88526691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9945999979972839,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.8108410239219666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585605144500732},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6517811417579651},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6064808964729309},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5127056837081909},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5093958973884583},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5054459571838379},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4971762001514435},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4692288339138031},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.41939643025398254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40862172842025757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3347170948982239},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2563362717628479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18738597631454468},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13379856944084167},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10008746385574341}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.8108410239219666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585605144500732},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6517811417579651},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6064808964729309},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5127056837081909},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5093958973884583},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5054459571838379},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4971762001514435},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4692288339138031},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.41939643025398254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40862172842025757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3347170948982239},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2563362717628479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18738597631454468},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13379856944084167},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10008746385574341},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2012.6338686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2012.6338686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 15th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.jrc.ec.europa.eu:JRC76762","is_oa":false,"landing_page_url":"http://publications.jrc.ec.europa.eu/repository/handle/JRC76762","pdf_url":null,"source":{"id":"https://openalex.org/S4306401126","display_name":"Joint Research Centre (European Commission)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800387288","host_organization_name":"European Commission","host_organization_lineage":["https://openalex.org/I2800387288"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Contributions to Conferences"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W100464641","https://openalex.org/W633754876","https://openalex.org/W1560949607","https://openalex.org/W1607197772","https://openalex.org/W1965455100","https://openalex.org/W1973261409","https://openalex.org/W1977558056","https://openalex.org/W1978569053","https://openalex.org/W1996878604","https://openalex.org/W2011470199","https://openalex.org/W2018834038","https://openalex.org/W2027752040","https://openalex.org/W2044519836","https://openalex.org/W2053437352","https://openalex.org/W2056999283","https://openalex.org/W2072993507","https://openalex.org/W2077197253","https://openalex.org/W2078727509","https://openalex.org/W2080767554","https://openalex.org/W2091278882","https://openalex.org/W2108386124","https://openalex.org/W2126270075","https://openalex.org/W2144265174","https://openalex.org/W2150623003","https://openalex.org/W2151438088","https://openalex.org/W2278245619","https://openalex.org/W2986120618"],"related_works":["https://openalex.org/W1541538682","https://openalex.org/W4255837520","https://openalex.org/W1941703695","https://openalex.org/W2050686036","https://openalex.org/W2097522327","https://openalex.org/W3131574667","https://openalex.org/W3167233239","https://openalex.org/W4323768008","https://openalex.org/W4248382324","https://openalex.org/W2493307909"],"abstract_inverted_index":{"In":[0],"the":[1,6,19,23,27,30,35,56,64,69,74,91,94,99,104,117,120,128],"field":[2],"of":[3,8,26,48,63,73,76,93,119,136,141,143],"traffic":[4,65],"simulation,":[5],"calibration":[7,75],"uncertain":[9],"inputs":[10],"against":[11,80],"real":[12,59,108],"data":[13],"is":[14,68,113],"usually":[15,43],"taken":[16],"to":[17,54,97,116,130],"cover":[18],"epistemic":[20],"uncertainty":[21],"regarding":[22],"un-modeled":[24],"details":[25],"phenomena":[28],"and":[29,60,139],"aleatory":[31],"not":[32],"predicted":[33],"by":[34,46],"models.":[36],"For":[37],"this":[38],"reason,":[39],"model":[40,106],"parameters":[41,79],"are":[42],"indirectly":[44],"derived":[45],"means":[47],"an":[49,133],"optimization":[50,95,121,137],"framework,":[51],"which":[52],"tries":[53],"maximize":[55],"fit":[57,144],"between":[58],"simulated":[61],"measures":[62],"system.":[66],"This":[67],"case,":[70],"for":[71],"example,":[72],"car-following":[77,105],"models'":[78],"vehicle":[81],"trajectory":[82],"data.":[83],"Only":[84],"recently,":[85],"it":[86],"has":[87],"been":[88],"proven":[89],"that":[90,102],"capability":[92],"framework":[96,122],"provide":[98],"parameters'":[100],"values":[101],"allow":[103],"reproducing":[107],"trajectories":[109],"at":[110],"its":[111],"best":[112],"strictly":[114],"connected":[115],"setup":[118],"itself.":[123],"This,":[124],"in":[125],"particular,":[126],"entails":[127],"necessity":[129],"carefully":[131],"choose":[132],"appropriate":[134],"combination":[135],"algorithm":[138],"measure":[140],"goodness":[142],"(GOF).":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"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":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2016-06-24T00:00:00"}