{"id":"https://openalex.org/W2990215072","doi":"https://doi.org/10.1109/itsc.2019.8917257","title":"Interaction-Aware Approach for Online Parameter Estimation of a Multi-lane Intelligent Driver Model","display_name":"Interaction-Aware Approach for Online Parameter Estimation of a Multi-lane Intelligent Driver Model","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990215072","doi":"https://doi.org/10.1109/itsc.2019.8917257","mag":"2990215072"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","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/A5035160102","display_name":"Johannes Buyer","orcid":null},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Johannes Buyer","raw_affiliation_strings":["Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany","institution_ids":["https://openalex.org/I41121874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071636376","display_name":"Dominic Waldenmayer","orcid":null},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominic Waldenmayer","raw_affiliation_strings":["Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany","institution_ids":["https://openalex.org/I41121874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035259116","display_name":"Nico Susmann","orcid":null},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nico Susmann","raw_affiliation_strings":["Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany","institution_ids":["https://openalex.org/I41121874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112236811","display_name":"Raoul Z\u00f6llner","orcid":null},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raoul Zollner","raw_affiliation_strings":["Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanics and Electrical Engineering, Heilbronn University of Applied Sciences, Heilbronn, Germany","institution_ids":["https://openalex.org/I41121874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089087383","display_name":"J. Marius Z\u00f6llner","orcid":"https://orcid.org/0000-0002-3889-6629"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Marius Zollner","raw_affiliation_strings":["Department of Technical Cognitive Assistance Systems, FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Technical Cognitive Assistance Systems, FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035160102"],"corresponding_institution_ids":["https://openalex.org/I41121874"],"apc_list":null,"apc_paid":null,"fwci":1.1791,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79951887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"3967","last_page":"3973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.7268447875976562},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5182957053184509},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.47435271739959717},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4692803621292114},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4428699016571045},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41192036867141724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3446982502937317},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34126514196395874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3290867507457733},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16953516006469727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268447875976562},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5182957053184509},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.47435271739959717},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4692803621292114},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4428699016571045},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41192036867141724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3446982502937317},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34126514196395874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3290867507457733},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16953516006469727},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2019.8917257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},{"id":"mag:3165805801","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902228525619637","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1513008779","https://openalex.org/W1521507142","https://openalex.org/W1841539924","https://openalex.org/W1917491357","https://openalex.org/W1978529738","https://openalex.org/W1978917517","https://openalex.org/W1993359906","https://openalex.org/W2037285767","https://openalex.org/W2050109517","https://openalex.org/W2056877664","https://openalex.org/W2077197253","https://openalex.org/W2098613108","https://openalex.org/W2120146794","https://openalex.org/W2141585124","https://openalex.org/W2152374007","https://openalex.org/W2487175822","https://openalex.org/W2564392195","https://openalex.org/W2565521391","https://openalex.org/W2565719461","https://openalex.org/W2612150182","https://openalex.org/W2739974901","https://openalex.org/W2741746516","https://openalex.org/W2743146984","https://openalex.org/W3104790740","https://openalex.org/W6638662312"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W3150905897","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W1520183331","https://openalex.org/W2734842993","https://openalex.org/W4252024964","https://openalex.org/W4253883008"],"abstract_inverted_index":{"The":[0,32],"paper":[1],"presents":[2],"a":[3,51,76,95,120],"probabilistic":[4],"approach":[5,33],"for":[6,16,116],"online":[7],"parameter":[8],"estimation":[9],"of":[10,25,39,47,107,130],"an":[11,23],"enhanced":[12],"car-following":[13,64],"model":[14,65,73,88,115,132],"appropriate":[15],"multi-lane":[17,63,110],"traffic,":[18],"which":[19,80,126],"is":[20,66,81,90,124],"based":[21],"on":[22,43],"extension":[24,123],"the":[26,36,44,48,55,61,72,86,105,108,114,128,131,135],"well-known":[27],"Intelligent":[28],"Driver":[29],"Model":[30],"(IDM).":[31],"explicitly":[34],"considers":[35],"simultaneous":[37],"influence":[38],"several":[40],"interacting":[41],"vehicles":[42,58],"longitudinal":[45],"dynamics":[46],"ego-vehicle.":[49],"Therefore,":[50],"method":[52],"to":[53,70,83],"extract":[54],"relevant":[56],"reference":[57],"considered":[59],"in":[60],"proposed":[62],"developed.":[67],"In":[68],"order":[69],"calibrate":[71],"parameters":[74,133],"online,":[75],"particle":[77],"filter":[78],"approach,":[79],"able":[82],"deal":[84],"with":[85],"overdetermined":[87],"structure,":[89],"employed.":[91],"Experimental":[92],"studies":[93],"using":[94],"real":[96],"highway":[97],"scenario":[98],"observed":[99],"by":[100],"vehicle":[101,117],"surroundings":[102],"sensors":[103],"show":[104],"need":[106],"online-calibrated":[109],"architecture.":[111],"To":[112],"use":[113],"speed":[118],"prediction,":[119],"further":[121],"learning-based":[122],"suggested":[125],"enables":[127],"adaption":[129],"over":[134],"prediction":[136],"horizon.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
