{"id":"https://openalex.org/W4396918619","doi":"https://doi.org/10.1109/tvt.2024.3399918","title":"Physics-Inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems","display_name":"Physics-Inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4396918619","doi":"https://doi.org/10.1109/tvt.2024.3399918"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3399918","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3399918","pdf_url":"https://ieeexplore.ieee.org/ielx7/25/4356907/10531066.pdf","source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/25/4356907/10531066.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021325444","display_name":"Theocharis Apostolakis","orcid":"https://orcid.org/0000-0003-4294-4774"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Theocharis Apostolakis","raw_affiliation_strings":["Automatic Control and Autonomous Systems Laboratory, Department of Mechanical Engineering, University of Thessaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Automatic Control and Autonomous Systems Laboratory, Department of Mechanical Engineering, University of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062153786","display_name":"Konstantinos Ampountolas","orcid":"https://orcid.org/0000-0001-6517-8369"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Ampountolas","raw_affiliation_strings":["Automatic Control and Autonomous Systems Laboratory, Department of Mechanical Engineering, University of Thessaly, Volos, Greece"],"affiliations":[{"raw_affiliation_string":"Automatic Control and Autonomous Systems Laboratory, Department of Mechanical Engineering, University of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021325444"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":3.4209,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92020017,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"73","issue":"10","first_page":"14291","last_page":"14301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9775000214576721,"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":0.9775000214576721,"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":0.9739000201225281,"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":0.9404000043869019,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.656583845615387},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.5264309644699097},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5128222107887268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43898671865463257},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.43232107162475586},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41286951303482056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40002769231796265},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3835736811161041},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33205127716064453},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2043152153491974}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.656583845615387},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.5264309644699097},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5128222107887268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43898671865463257},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.43232107162475586},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41286951303482056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40002769231796265},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3835736811161041},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33205127716064453},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2043152153491974}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3399918","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3399918","pdf_url":"https://ieeexplore.ieee.org/ielx7/25/4356907/10531066.pdf","source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tvt.2024.3399918","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3399918","pdf_url":"https://ieeexplore.ieee.org/ielx7/25/4356907/10531066.pdf","source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318628","display_name":"Hellenic Academic Libraries Link","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396918619.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1601803999","https://openalex.org/W1989000486","https://openalex.org/W1994402784","https://openalex.org/W1994616650","https://openalex.org/W2000359198","https://openalex.org/W2007718857","https://openalex.org/W2010921714","https://openalex.org/W2067530543","https://openalex.org/W2084952317","https://openalex.org/W2086161653","https://openalex.org/W2101691062","https://openalex.org/W2108199400","https://openalex.org/W2111204826","https://openalex.org/W2112484799","https://openalex.org/W2116446771","https://openalex.org/W2122253031","https://openalex.org/W2126270075","https://openalex.org/W2137006204","https://openalex.org/W2137983211","https://openalex.org/W2152170081","https://openalex.org/W2158985775","https://openalex.org/W2593159012","https://openalex.org/W2899283552","https://openalex.org/W2943934820","https://openalex.org/W2962727772","https://openalex.org/W2963000646","https://openalex.org/W2991578746","https://openalex.org/W2998366519","https://openalex.org/W3010174734","https://openalex.org/W3014009018","https://openalex.org/W3017204849","https://openalex.org/W3037320068","https://openalex.org/W3086943201","https://openalex.org/W3137392741","https://openalex.org/W3163993681","https://openalex.org/W3177261102","https://openalex.org/W4206357683","https://openalex.org/W4220699563","https://openalex.org/W4255861502","https://openalex.org/W4285109022","https://openalex.org/W4285294418","https://openalex.org/W4368232819","https://openalex.org/W6631190155","https://openalex.org/W6638908295"],"related_works":["https://openalex.org/W2190128593","https://openalex.org/W2969358681","https://openalex.org/W2112559358","https://openalex.org/W2107122120","https://openalex.org/W2615607975","https://openalex.org/W194970950","https://openalex.org/W2342009288","https://openalex.org/W1506477645","https://openalex.org/W2192101006","https://openalex.org/W2116800748"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"and":[3,41,116,122],"develops":[4],"a":[5,68],"<italic":[6,58],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[7,59,184,189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">physics-inspired":[8],"neural":[9,55],"network</i>":[10],"(PiNN)":[11],"for":[12,71],"learning":[13,79,97,144],"the":[14,29,44,52,63,72,80,84,89,96,102,106,135,140,145,165,169,174],"parameters":[15,82,109,148,162],"of":[16,32,75,83,91,101,120,139,149,159,173],"commercially":[17],"implemented":[18],"adaptive":[19],"cruise":[20],"control":[21,39],"(ACC)":[22],"systems":[23,152,172],"in":[24,128,143,177],"automotive":[25],"industry.":[26],"To":[27],"emulate":[28],"core":[30],"functionality":[31],"stock":[33,150,170],"ACC":[34,108,151,160,171],"systems,":[35],"which":[36],"have":[37,133],"proprietary":[38],"logic":[40],"undisclosed":[42],"parameters,":[43],"constant":[45],"time-headway":[46],"policy":[47],"(CTHP)":[48],"is":[49,110],"adopted.":[50],"Leveraging":[51],"multi-layer":[53],"artificial":[54],"networks":[56],"as":[57,67],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">universal":[60],"approximators</i>":[61],",":[62],"developed":[64],"PiNN":[65,103,142,166],"serves":[66],"surrogate":[69],"model":[70,161],"longitudinal":[73],"dynamics":[74],"ACC-engaged":[76,126],"vehicles,":[77],"efficiently":[78],"unknown":[81,107,146],"CTHP.":[85],"The":[86,99,131,157],"PiNNs":[87],"allow":[88],"integration":[90],"physical":[92],"laws":[93],"directly":[94],"into":[95],"process.":[98],"ability":[100,138],"to":[104],"infer":[105],"meticulously":[111],"assessed":[112],"using":[113],"both":[114],"synthetic":[115],"high-fidelity":[117],"empirical":[118],"data":[119],"space-gap":[121],"relative":[123],"velocity":[124],"involving":[125],"vehicles":[127,176],"platoon":[129],"formation.":[130],"results":[132],"demonstrated":[134],"superior":[136],"predictive":[137],"proposed":[141],"design":[147],"from":[153,164],"different":[154],"car":[155],"manufacturers.":[156],"set":[158],"obtained":[163],"revealed":[167],"that":[168],"considered":[175],"three":[178],"experimental":[179],"campaigns":[180],"are":[181],"neither":[182],"<inline-formula":[183,188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[185,190],"notation=\"LaTeX\">$\u0141_{2}$</tex-math></inline-formula>":[186],"nor":[187],"notation=\"LaTeX\">$\u0141_\\infty$</tex-math></inline-formula>":[191],"string":[192],"stable.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}