{"id":"https://openalex.org/W3193435812","doi":"https://doi.org/10.1109/mt-its49943.2021.9529302","title":"Observability based data-fusion cascading filtering for urban network flow estimation","display_name":"Observability based data-fusion cascading filtering for urban network flow estimation","publication_year":2021,"publication_date":"2021-06-16","ids":{"openalex":"https://openalex.org/W3193435812","doi":"https://doi.org/10.1109/mt-its49943.2021.9529302","mag":"3193435812"},"language":"en","primary_location":{"id":"doi:10.1109/mt-its49943.2021.9529302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mt-its49943.2021.9529302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","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/A5040457483","display_name":"Marco Rinaldi","orcid":"https://orcid.org/0000-0001-7027-7548"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marco Rinaldi","raw_affiliation_strings":["Faculty of Civil Engineering and Geosciences, TU Delft,Department of Transport & Planning,Delft,The Netherlands","Faculty of Civil Engineering and Geosciences, TU Delft, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Civil Engineering and Geosciences, TU Delft,Department of Transport & Planning,Delft,The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Faculty of Civil Engineering and Geosciences, TU Delft, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042705900","display_name":"Francesco Viti","orcid":"https://orcid.org/0000-0003-1803-4527"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]},{"id":"https://openalex.org/I4210161935","display_name":"Arbed (Luxembourg)","ror":"https://ror.org/03wgsss62","country_code":"LU","type":"company","lineage":["https://openalex.org/I4210161935","https://openalex.org/I50754188"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Francesco Viti","raw_affiliation_strings":["University of Luxembourg,Department of Engineering,Esch-sur-Alzette,Luxembourg","University of Luxembourg, Esch-sur-Alzette, Luxembourg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Luxembourg,Department of Engineering,Esch-sur-Alzette,Luxembourg","institution_ids":["https://openalex.org/I186903577","https://openalex.org/I4210161935"]},{"raw_affiliation_string":"University of Luxembourg, Esch-sur-Alzette, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11425791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9991000294685364,"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":0.9961000084877014,"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/observability","display_name":"Observability","score":0.898737907409668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7100376486778259},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5439595580101013},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5219699144363403},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4858934283256531},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46870678663253784},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4254765510559082},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3627246916294098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12886744737625122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11782020330429077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11042964458465576}],"concepts":[{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.898737907409668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100376486778259},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5439595580101013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5219699144363403},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4858934283256531},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46870678663253784},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4254765510559082},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3627246916294098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12886744737625122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11782020330429077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11042964458465576},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mt-its49943.2021.9529302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mt-its49943.2021.9529302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/49563","is_oa":false,"landing_page_url":"https://orbilu.uni.lu/handle/10993/49563","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"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/conferenceObject"},{"id":"pmh:oai:tudelft.nl:uuid:3777b156-a721-495f-ace4-7b2830304ad2","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:3777b156-a721-495f-ace4-7b2830304ad2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W600130508","https://openalex.org/W994344872","https://openalex.org/W1999220758","https://openalex.org/W2011504567","https://openalex.org/W2044687653","https://openalex.org/W2051241238","https://openalex.org/W2108658848","https://openalex.org/W2147457766","https://openalex.org/W2562713436","https://openalex.org/W2755107059","https://openalex.org/W2760603643","https://openalex.org/W2903419459","https://openalex.org/W2903709398","https://openalex.org/W2912591685","https://openalex.org/W2989729224","https://openalex.org/W3116288849","https://openalex.org/W4236642823","https://openalex.org/W6758865537","https://openalex.org/W6787484610"],"related_works":["https://openalex.org/W2046459260","https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W2031992971","https://openalex.org/W116564642","https://openalex.org/W1983380679","https://openalex.org/W2036320993","https://openalex.org/W1981649169","https://openalex.org/W2357354286","https://openalex.org/W2388705266"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"extend":[4],"our":[5],"previously":[6],"proposed":[7,55,125],"cascading":[8,52,129],"Kalman":[9],"filtering":[10],"technique,":[11],"applied":[12],"to":[13,21,65,127],"the":[14,51,69,87,124,128,136,149],"problem":[15],"of":[16,50,60,72,92,96,151],"urban":[17],"network":[18,141],"flow":[19,62],"estimation,":[20],"adopt":[22],"heterogeneous":[23],"traffic":[24,61],"data":[25,115],"sources.":[26],"Both":[27],"static":[28,144],"infrastructure":[29,145],"detection":[30],"(double":[31],"induction":[32],"loops)":[33],"and":[34,45,80,100],"Floating":[35,97],"Car":[36,98],"Data":[37,99],"are":[38],"collected":[39],"from":[40],"a":[41,108,117],"given":[42],"transportation":[43],"network,":[44],"employed":[46],"within":[47,86],"separate":[48],"stages":[49],"technique.":[53,89],"The":[54,90],"approach":[56],"relies":[57],"upon":[58],"notions":[59],"inference":[63],"(observability)":[64],"both":[66,93],"i)":[67],"determine":[68],"optimal":[70],"set":[71],"locations":[73,154],"in":[74,134],"which":[75],"sensors":[76],"should":[77],"be":[78],"installed":[79],"ii)":[81],"provide":[82],"enhanced":[83],"covariance":[84],"information":[85],"estimation":[88,138],"impact":[91],"penetration":[94],"rates":[95],"sensor":[101,153],"selection":[102],"procedure":[103],"is":[104,131,146,155],"evaluated":[105],"empirically,":[106],"through":[107],"microscopic":[109],"simulation":[110],"software":[111],"(SUMO)":[112],"generating":[113],"experimental":[114],"on":[116,140],"simple":[118],"grid-like":[119],"network.Test":[120],"results":[121],"showcase":[122],"that":[123],"extension":[126],"framework":[130],"indeed":[132],"beneficial":[133],"reducing":[135],"overall":[137],"error":[139],"segments":[142],"where":[143],"unavailable.":[147],"Furthermore,":[148],"importance":[150],"observability-based":[152],"clearly":[156],"demonstrated.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}