{"id":"https://openalex.org/W3119275775","doi":"https://doi.org/10.1109/iv47402.2020.9304762","title":"An Improved Moving Observer Method for Traffic Flow Estimation at Signalized Intersections","display_name":"An Improved Moving Observer Method for Traffic Flow Estimation at Signalized Intersections","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3119275775","doi":"https://doi.org/10.1109/iv47402.2020.9304762","mag":"3119275775"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","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/A5025621515","display_name":"Marcel Langer","orcid":"https://orcid.org/0000-0003-3109-7821"},"institutions":[{"id":"https://openalex.org/I1322300227","display_name":"Audi (Germany)","ror":"https://ror.org/02aykj333","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322300227"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Langer","raw_affiliation_strings":["AUDI AG, Ingolstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AUDI AG, Ingolstadt, Germany","institution_ids":["https://openalex.org/I1322300227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019180782","display_name":"Thomas Schien","orcid":null},"institutions":[{"id":"https://openalex.org/I120163777","display_name":"OTH Regensburg","ror":"https://ror.org/04b9vrm74","country_code":"DE","type":"education","lineage":["https://openalex.org/I120163777"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Schien","raw_affiliation_strings":["Technical University of Applied Sciences Regensburg, Regensburg, Germany","Technical University of Applied Sciences Regensburg,Regensburg,Germany,93049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Applied Sciences Regensburg, Regensburg, Germany","institution_ids":["https://openalex.org/I120163777"]},{"raw_affiliation_string":"Technical University of Applied Sciences Regensburg,Regensburg,Germany,93049","institution_ids":["https://openalex.org/I120163777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037036407","display_name":"Michael Harth","orcid":"https://orcid.org/0000-0002-3361-4733"},"institutions":[{"id":"https://openalex.org/I1322300227","display_name":"Audi (Germany)","ror":"https://ror.org/02aykj333","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322300227"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Harth","raw_affiliation_strings":["AUDI AG, Ingolstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AUDI AG, Ingolstadt, Germany","institution_ids":["https://openalex.org/I1322300227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022444628","display_name":"Ronald Kates","orcid":"https://orcid.org/0000-0003-3550-1051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ronald Kates","raw_affiliation_strings":["REK Consulting, Germany","REK Consulting,Germany,83624"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REK Consulting, Germany","institution_ids":[]},{"raw_affiliation_string":"REK Consulting,Germany,83624","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066761905","display_name":"Klaus Bogenberger","orcid":"https://orcid.org/0000-0003-3868-9571"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Bogenberger","raw_affiliation_strings":["Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany","Chair of Traffic Engineering and Control, Technical University of Munich,Munich,Germany,80333"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Chair of Traffic Engineering and Control, Technical University of Munich,Munich,Germany,80333","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5222,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67736085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"1498","last_page":"1503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.6597276329994202},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.6197828054428101},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5944528579711914},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.507318913936615},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4453394412994385},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.43794605135917664},{"id":"https://openalex.org/keywords/traffic-simulation","display_name":"Traffic simulation","score":0.4341300129890442},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.42422911524772644},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4221488833427429},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.41968047618865967},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.41087839007377625},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39290493726730347},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.29389822483062744},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.24285072088241577},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21646764874458313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2052953839302063},{"id":"https://openalex.org/keywords/microsimulation","display_name":"Microsimulation","score":0.14402025938034058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597276329994202},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.6197828054428101},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5944528579711914},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.507318913936615},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4453394412994385},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.43794605135917664},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.4341300129890442},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.42422911524772644},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4221488833427429},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.41968047618865967},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.41087839007377625},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39290493726730347},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.29389822483062744},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.24285072088241577},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21646764874458313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2052953839302063},{"id":"https://openalex.org/C2780015235","wikidata":"https://www.wikidata.org/wiki/Q1934035","display_name":"Microsimulation","level":2,"score":0.14402025938034058},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv47402.2020.9304762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1615948","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1615948","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ConferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2625756162","display_name":null,"funder_award_id":"16AVF2145A","funder_id":"https://openalex.org/F4320310476","funder_display_name":"Bundesministerium f\u00fcr Verkehr und Digitale Infrastruktur"}],"funders":[{"id":"https://openalex.org/F4320310476","display_name":"Bundesministerium f\u00fcr Verkehr und Digitale Infrastruktur","ror":"https://ror.org/00e3ns026"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W640689371","https://openalex.org/W1954337922","https://openalex.org/W1987971958","https://openalex.org/W2063890507","https://openalex.org/W2253930698","https://openalex.org/W2404352102","https://openalex.org/W2516274711","https://openalex.org/W2607080081","https://openalex.org/W2807467121","https://openalex.org/W2903709398","https://openalex.org/W2990548370","https://openalex.org/W6620766060"],"related_works":["https://openalex.org/W239469043","https://openalex.org/W2291515980","https://openalex.org/W2114686347","https://openalex.org/W2806221860","https://openalex.org/W2179871566","https://openalex.org/W2394362592","https://openalex.org/W2050238404","https://openalex.org/W2550710142","https://openalex.org/W2134842243","https://openalex.org/W2006567814"],"abstract_inverted_index":{"With":[0],"the":[1,9,43,48,58,66,73,77,82,85,123,138,141,144,150,157,187,192,203],"deployment":[2],"of":[3,27,47,60,72,84,99,143,162,183,191,202,216],"partially":[4],"and":[5,45,105,121],"highly":[6],"automated":[7,28,62],"vehicles,":[8],"automotive":[10],"industry":[11],"is":[12,79,90,147,165,208],"greatly":[13],"increasing":[14],"its":[15],"influence":[16,26],"on":[17,30,130,172,212],"road":[18],"traffic.":[19],"In":[20,110],"order":[21],"to":[22,56,107,117,166,194],"ensure":[23],"a":[24,91,108,127,180,213],"positive":[25],"vehicles":[29,146,185],"traffic":[31,36,119,124,154,170,196,204],"efficiency":[32],"as":[33,35,174,176],"well":[34,175],"safety,":[37],"simulations":[38,53],"are":[39,54],"broadly":[40],"used":[41],"for":[42,81,93],"development":[44],"testing":[46],"required":[49],"functions.":[50],"Since":[51],"these":[52],"applied":[55,106],"evaluate":[57],"behavior":[59],"an":[61,69,115,168,199],"driving":[63],"function":[64],"in":[65,76,126,198],"real":[67,74],"world,":[68],"exact":[70],"representation":[71],"world":[75],"simulation":[78],"essential":[80],"validity":[83],"generated":[86],"results.":[87],"Therefore,":[88],"there":[89],"need":[92],"methods":[94],"with":[95,149,179],"which":[96],"certain":[97],"parameters":[98],"real-world":[100,217],"situations":[101],"may":[102],"be":[103],"quantified":[104],"simulation.":[109],"this":[111,136,163],"work,":[112],"we":[113],"propose":[114],"approach":[116],"measure":[118],"flow":[120],"estimate":[122],"state":[125],"network":[128],"based":[129,211],"extended":[131],"floating":[132],"car":[133],"data.":[134,188,219],"For":[135],"purpose,":[137],"data":[139,151],"concerning":[140],"movement":[142],"tracked":[145],"combined":[148],"regarding":[152],"surrounding":[153],"gathered":[155],"by":[156],"vehicles'":[158],"sensors.":[159],"The":[160,189,206],"aim":[161],"combination":[164],"achieve":[167],"accurate":[169,200],"observation":[171],"urban":[173],"rural":[177],"roads":[178],"minimal":[181],"number":[182],"test":[184,218],"gathering":[186],"application":[190],"method":[193],"simulated":[195],"results":[197],"estimation":[201],"volume.":[205],"functionality":[207],"also":[209],"demonstrated":[210],"limited":[214],"sample":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
