{"id":"https://openalex.org/W4408696886","doi":"https://doi.org/10.1109/itsc58415.2024.10920113","title":"Virtual Analysis of Vehicle Dynamics Limits using Reinforcement Learning","display_name":"Virtual Analysis of Vehicle Dynamics Limits using Reinforcement Learning","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696886","doi":"https://doi.org/10.1109/itsc58415.2024.10920113"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10920113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (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/A5061512952","display_name":"Simon Olma","orcid":null},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Simon Olma","raw_affiliation_strings":["reasearch departments in IAV GmbH,Berlin,10587"],"affiliations":[{"raw_affiliation_string":"reasearch departments in IAV GmbH,Berlin,10587","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071127149","display_name":"Yi Cui","orcid":"https://orcid.org/0000-0002-6103-6352"},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yi Cui","raw_affiliation_strings":["reasearch departments in IAV GmbH,Berlin,10587"],"affiliations":[{"raw_affiliation_string":"reasearch departments in IAV GmbH,Berlin,10587","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061354611","display_name":"Johannes Dornheim","orcid":"https://orcid.org/0000-0002-2752-0554"},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Dornheim","raw_affiliation_strings":["reasearch departments in IAV GmbH,Berlin,10587"],"affiliations":[{"raw_affiliation_string":"reasearch departments in IAV GmbH,Berlin,10587","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114549262","display_name":"Danny Braunstedter","orcid":null},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Danny Braunstedter","raw_affiliation_strings":["reasearch departments in IAV GmbH,Berlin,10587"],"affiliations":[{"raw_affiliation_string":"reasearch departments in IAV GmbH,Berlin,10587","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079523080","display_name":"Michael Knaup","orcid":null},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Knaup","raw_affiliation_strings":["reasearch departments in IAV GmbH,Berlin,10587"],"affiliations":[{"raw_affiliation_string":"reasearch departments in IAV GmbH,Berlin,10587","institution_ids":["https://openalex.org/I137230718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039880918","display_name":"Mark Wielitzka","orcid":null},"institutions":[{"id":"https://openalex.org/I137230718","display_name":"Ingenieurgesellschaft Auto und Verkehr (Germany)","ror":"https://ror.org/00j4h9q86","country_code":"DE","type":"company","lineage":["https://openalex.org/I137230718"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mark Wielitzka","raw_affiliation_strings":["reasearch departments in IAV GmbH,Berlin,10587"],"affiliations":[{"raw_affiliation_string":"reasearch departments in IAV GmbH,Berlin,10587","institution_ids":["https://openalex.org/I137230718"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061512952"],"corresponding_institution_ids":["https://openalex.org/I137230718"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31371996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1736","last_page":"1742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9941999912261963,"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"}},"topics":[{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9941999912261963,"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/T12197","display_name":"Brake Systems and Friction Analysis","score":0.9505000114440918,"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/T10524","display_name":"Traffic control and management","score":0.9352999925613403,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6998761892318726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6759745478630066},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5445876121520996},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5137766003608704},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38099420070648193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3716193437576294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1492876410484314},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.10823062062263489},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08200240135192871}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6998761892318726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759745478630066},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5445876121520996},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5137766003608704},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38099420070648193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3716193437576294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1492876410484314},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.10823062062263489},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08200240135192871},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10920113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2050856428","https://openalex.org/W2099165995","https://openalex.org/W2972050850","https://openalex.org/W3039848883","https://openalex.org/W3090027660","https://openalex.org/W3127561923","https://openalex.org/W3131214991","https://openalex.org/W3136781893","https://openalex.org/W3196351275","https://openalex.org/W3204766892","https://openalex.org/W4288086182","https://openalex.org/W4321021931","https://openalex.org/W4323667710","https://openalex.org/W4389236187","https://openalex.org/W4391768508","https://openalex.org/W6747473740","https://openalex.org/W6748839928"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W2923210090","https://openalex.org/W3014594398","https://openalex.org/W1931336049","https://openalex.org/W4403119242"],"abstract_inverted_index":{"Vehicle":[0],"dynamics":[1,50],"is":[2,17,95,112,147],"the":[3,7,33,46,68,72,79,85,115,119,129,133,138,142,156,163],"key":[4],"factor":[5],"influencing":[6],"safety,":[8],"comfort":[9],"and":[10,32,90,160],"maneuverability":[11],"of":[12,21,35,48,75,84,88,118,121,165],"a":[13,96,105],"vehicle.":[14],"Consequently,":[15],"it":[16],"an":[18],"essential":[19],"area":[20],"research":[22],"in":[23],"automotive":[24],"engineering.":[25],"However,":[26],"as":[27,137],"vehicle":[28,49,122,166],"performance,":[29],"safety":[30],"standards":[31],"number":[34],"mechatronic":[36],"systems,":[37],"e.g.":[38],"electronic":[39],"stability":[40,167],"control,":[41],"continue":[42],"to":[43,66,148,158],"increase,":[44],"assessing":[45],"limits":[47,120],"through":[51],"traditional":[52],"testing":[53,94],"methods":[54],"becomes":[55],"increasingly":[56],"challenging.":[57],"Typically,":[58],"simulated":[59],"or":[60],"real":[61],"driving":[62],"tests":[63],"are":[64],"conducted":[65],"analyze":[67],"limits.":[69],"Nevertheless,":[70],"finding":[71],"optimal":[73],"set":[74],"test":[76,152],"scenarios":[77],"regarding":[78],"conflicting":[80],"goals":[81],"between":[82,132],"coverage":[83],"entire":[86],"region":[87],"interest":[89],"minimal":[91],"effort":[92],"for":[93,114],"time-consuming":[97],"process":[98],"when":[99],"done":[100],"manually.":[101],"In":[102],"this":[103],"paper,":[104],"method":[106],"based":[107],"on":[108],"Reinforcement":[109],"Learning":[110],"(RL)":[111],"presented":[113],"automated":[116],"exploration":[117],"dynamics.":[123],"The":[124,145],"developed":[125],"co-simulation":[126],"framework":[127],"enables":[128],"seamless":[130],"interaction":[131],"RL":[134],"agent":[135],"acting":[136],"virtual":[139],"driver":[140],"with":[141],"simulation":[143],"environment.":[144],"aim":[146],"uncover":[149],"previously":[150],"undiscovered":[151],"scenarios,":[153],"thus":[154],"creating":[155],"opportunity":[157],"assess":[159],"further":[161],"improve":[162],"performance":[164],"systems.":[168]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}