{"id":"https://openalex.org/W7125927459","doi":"https://doi.org/10.1109/smc58881.2025.11343461","title":"Human Driver Modeling via Control-Based Approaches: PID and MPC using Bayesian Optimization for Driver Adaptation","display_name":"Human Driver Modeling via Control-Based Approaches: PID and MPC using Bayesian Optimization for Driver Adaptation","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125927459","doi":"https://doi.org/10.1109/smc58881.2025.11343461"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107153043","display_name":"Steffen Schmees","orcid":"https://orcid.org/0009-0004-2565-0285"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I73114660","display_name":"University of Applied Sciences Kaiserslautern","ror":"https://ror.org/05dkqa017","country_code":"DE","type":"education","lineage":["https://openalex.org/I73114660"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Schmees","raw_affiliation_strings":["RPTU University Kaiserslautern-Landau,Institute of Electromobility,Kaiserslautern,67663"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RPTU University Kaiserslautern-Landau,Institute of Electromobility,Kaiserslautern,67663","institution_ids":["https://openalex.org/I153267046","https://openalex.org/I73114660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070371888","display_name":"Jan Heidinger","orcid":"https://orcid.org/0000-0002-2074-2947"},"institutions":[{"id":"https://openalex.org/I4210104073","display_name":"Becker Technologies (Germany)","ror":"https://ror.org/01hv3m305","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210104073"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Heidinger","raw_affiliation_strings":["University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562","institution_ids":["https://openalex.org/I4210104073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065321867","display_name":"Markus G\u00f6dker","orcid":"https://orcid.org/0000-0002-8255-8088"},"institutions":[{"id":"https://openalex.org/I4210104073","display_name":"Becker Technologies (Germany)","ror":"https://ror.org/01hv3m305","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210104073"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus G\u00f6dker","raw_affiliation_strings":["University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562","institution_ids":["https://openalex.org/I4210104073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016237307","display_name":"Lukas Bernhardt","orcid":"https://orcid.org/0009-0009-9227-9769"},"institutions":[{"id":"https://openalex.org/I4210104073","display_name":"Becker Technologies (Germany)","ror":"https://ror.org/01hv3m305","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210104073"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Bernhardt","raw_affiliation_strings":["University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562","institution_ids":["https://openalex.org/I4210104073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079978691","display_name":"Thomas Franke","orcid":"https://orcid.org/0000-0002-7211-3771"},"institutions":[{"id":"https://openalex.org/I4210104073","display_name":"Becker Technologies (Germany)","ror":"https://ror.org/01hv3m305","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210104073"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Franke","raw_affiliation_strings":["University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of L&#x00FC;beck,Institute of Multimedia and Interactive Systems,L&#x00FC;beck,23562","institution_ids":["https://openalex.org/I4210104073"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003608585","display_name":"Daniel G\u00f6rges","orcid":"https://orcid.org/0000-0001-5504-0972"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I73114660","display_name":"University of Applied Sciences Kaiserslautern","ror":"https://ror.org/05dkqa017","country_code":"DE","type":"education","lineage":["https://openalex.org/I73114660"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel G\u00f6rges","raw_affiliation_strings":["RPTU University Kaiserslautern-Landau,Institute of Electromobility,Kaiserslautern,67663"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RPTU University Kaiserslautern-Landau,Institute of Electromobility,Kaiserslautern,67663","institution_ids":["https://openalex.org/I153267046","https://openalex.org/I73114660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7178","last_page":"7185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.5841000080108643,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.5841000080108643,"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.13120000064373016,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.1080000028014183,"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/model-predictive-control","display_name":"Model predictive control","score":0.65829998254776},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5541999936103821},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5335000157356262},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5296000242233276},{"id":"https://openalex.org/keywords/pid-controller","display_name":"PID controller","score":0.5224999785423279},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5214999914169312},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47609999775886536},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.3955000042915344}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.65829998254776},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5541999936103821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514000058174133},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5335000157356262},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.5224999785423279},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5214999914169312},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47609999775886536},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.45260000228881836},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38940000534057617},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36500000953674316},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3028999865055084},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2842000126838684},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1964023669","https://openalex.org/W1965455100","https://openalex.org/W2093625674","https://openalex.org/W2286435357","https://openalex.org/W2411943365","https://openalex.org/W2783963507","https://openalex.org/W2974711409","https://openalex.org/W3115645303","https://openalex.org/W3210553745","https://openalex.org/W4300011629","https://openalex.org/W4312295451","https://openalex.org/W4317889697","https://openalex.org/W4323796747","https://openalex.org/W4397040233","https://openalex.org/W4400644950","https://openalex.org/W4402433411","https://openalex.org/W4415180609"],"related_works":[],"abstract_inverted_index":{"Although":[0],"interpretable":[1,98],"controllers":[2,73],"are":[3],"widely":[4],"used":[5,67],"in":[6,62],"vehicle":[7],"systems,":[8],"they":[9],"have":[10],"received":[11],"limited":[12],"attention":[13],"as":[14],"models":[15],"of":[16,55,96],"human":[17,43,56,107],"driving":[18,45,57,64,108],"behavior.":[19],"This":[20],"study":[21],"explores":[22],"whether":[23],"two":[24],"such":[25],"control":[26,99],"strategies,":[27],"a":[28,34,63],"preview-augmented":[29],"Proportional-Integral-Derivative":[30],"(PID)":[31],"controller":[32],"and":[33,70,77,85],"constraint-based":[35],"Model":[36],"Predictive":[37],"Control":[38],"(MPC)":[39],"framework,":[40],"can":[41],"model":[42,106],"longitudinal":[44],"behavior":[46,109],"when":[47],"adapted":[48],"via":[49],"Bayesian":[50],"optimization.":[51],"A":[52],"structured":[53],"dataset":[54],"behavior,":[58],"recorded":[59],"with":[60,101],"participants":[61],"simulator,":[65],"was":[66],"to":[68,105],"train":[69],"evaluate":[71],"both":[72],"across":[74,89],"acceleration,":[75],"deceleration,":[76],"cruising":[78],"scenarios.":[79],"MPC":[80],"achieved":[81],"lower":[82],"overall":[83],"deviation":[84],"more":[86],"consistent":[87],"performance":[88],"trials.":[90],"These":[91],"findings":[92],"highlight":[93],"the":[94],"potential":[95],"combining":[97],"architectures":[100],"data-driven":[102],"parameter":[103],"adaptation":[104],"effectively.":[110]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-29T00:00:00"}
