{"id":"https://openalex.org/W4412445044","doi":"https://doi.org/10.1109/tits.2025.3585346","title":"Hybrid of Neural Network and Physics-Based Estimator for Vehicle Longitudinal Dynamics Modeling Using Limited Driving Data","display_name":"Hybrid of Neural Network and Physics-Based Estimator for Vehicle Longitudinal Dynamics Modeling Using Limited Driving Data","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W4412445044","doi":"https://doi.org/10.1109/tits.2025.3585346"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3585346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3585346","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-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/A5066425232","display_name":"Zhisong Zhou","orcid":"https://orcid.org/0000-0001-6866-8646"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhisong Zhou","raw_affiliation_strings":["Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-6866-8646","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684138","display_name":"Yafei Wang","orcid":"https://orcid.org/0000-0003-4880-5054"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Wang","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4880-5054","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028084976","display_name":"Xulei Liu","orcid":"https://orcid.org/0000-0003-1115-0285"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xulei Liu","raw_affiliation_strings":["School of Automobile and Transportation, Xihua University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-1115-0285","affiliations":[{"raw_affiliation_string":"School of Automobile and Transportation, Xihua University, Chengdu, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068547661","display_name":"Zexing Li","orcid":"https://orcid.org/0000-0002-6668-0251"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexing Li","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6668-0251","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080497883","display_name":"Mingyu Wu","orcid":"https://orcid.org/0000-0002-4270-4124"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Wu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040973067","display_name":"Guofeng Zhou","orcid":"https://orcid.org/0000-0002-6018-1865"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofeng Zhou","raw_affiliation_strings":["College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6018-1865","affiliations":[{"raw_affiliation_string":"College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.9353,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.99747831,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":"10","first_page":"16735","last_page":"16746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9944000244140625,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9944000244140625,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9670000076293945,"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":0.9668999910354614,"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/estimator","display_name":"Estimator","score":0.6549371480941772},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6439352035522461},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.588653564453125},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4675914943218231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4514178931713104},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3857998847961426},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.36574554443359375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3144558370113373},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3126949667930603},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.23887792229652405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19670668244361877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13480904698371887},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11748844385147095}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6549371480941772},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6439352035522461},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.588653564453125},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4675914943218231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4514178931713104},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3857998847961426},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.36574554443359375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3144558370113373},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3126949667930603},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.23887792229652405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19670668244361877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13480904698371887},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11748844385147095}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3585346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3585346","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4588191500","display_name":null,"funder_award_id":"52402516","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G94177764","display_name":null,"funder_award_id":"52372417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1973892824","https://openalex.org/W2006299535","https://openalex.org/W2128377715","https://openalex.org/W2725089895","https://openalex.org/W2756814280","https://openalex.org/W2783742538","https://openalex.org/W2976426720","https://openalex.org/W2991457043","https://openalex.org/W2996314171","https://openalex.org/W3017296286","https://openalex.org/W3017305623","https://openalex.org/W3028413446","https://openalex.org/W3112161408","https://openalex.org/W3145073221","https://openalex.org/W3154705700","https://openalex.org/W3203814043","https://openalex.org/W4206153930","https://openalex.org/W4226348976","https://openalex.org/W4296558700","https://openalex.org/W4312592678","https://openalex.org/W4380551663","https://openalex.org/W4385863183","https://openalex.org/W4386038287","https://openalex.org/W4387010246","https://openalex.org/W4388211203","https://openalex.org/W4389977148","https://openalex.org/W4394566287","https://openalex.org/W4399850164"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4396824790","https://openalex.org/W4281634296","https://openalex.org/W2923210090","https://openalex.org/W3014594398","https://openalex.org/W1931336049","https://openalex.org/W4403119242"],"abstract_inverted_index":{"An":[0],"accurate":[1,189],"longitudinal":[2,70,92,194],"dynamics":[3,65,71,93,115,131,195],"model":[4,66,94,155,160,170,186],"is":[5,67,78,152,163],"essential":[6],"for":[7,69,80,127],"state":[8],"estimation":[9,191],"and":[10,24,62,82,111,120,135,140,177,192,218],"control":[11],"of":[12,34,50,132,174],"autonomous":[13],"vehicles.":[14],"However,":[15],"existing":[16],"physical":[17,178],"models":[18,30],"suffer":[19],"from":[20],"limited":[21,99,198],"working":[22,39],"conditions":[23,40],"large":[25],"errors,":[26],"while":[27],"pure":[28],"data-driven":[29],"require":[31],"massive":[32],"amounts":[33],"driving":[35,100,199],"data":[36,101,200],"to":[37],"cover":[38],"fully.":[41],"To":[42,122],"address":[43],"these":[44],"issues,":[45],"a":[46,51,56,63,104,108,141,157,203,207],"hybrid":[47,159,169,185],"architecture":[48],"composed":[49],"neural":[52,125,143],"network-based":[53],"traction":[54,128,149],"model,":[55],"recursive":[57],"least":[58],"square-based":[59],"parameter":[60,76,190],"estimator,":[61],"physics-based":[64],"proposed":[68,184],"modeling,":[72],"in":[73],"which":[74,145,165],"the":[75,91,124,130,148,168,172,183],"estimator":[77],"used":[79],"mass":[81],"modified":[83],"rolling":[84],"friction":[85],"coefficient":[86],"estimation.":[87],"Under":[88],"this":[89],"architecture,":[90],"can":[95,166,187],"be":[96],"established":[97],"using":[98,197],"collected":[102,201],"on":[103],"test":[105,204],"field":[106,205],"with":[107,171,211],"given":[109,208],"load,":[110,209],"achieve":[112],"precise":[113],"vehicle":[114,133,193],"characterization":[116],"under":[117,206,215],"various":[118],"roads":[119],"loads.":[121],"design":[123],"network":[126,176],"description,":[129],"powertrain":[134],"braking":[136],"systems":[137],"are":[138],"analyzed,":[139],"physics-guided":[142],"network,":[144],"fully":[146],"considers":[147],"transmission":[150],"characteristics,":[151],"formulated.":[153],"For":[154],"training,":[156],"two-stage":[158],"training":[161],"method":[162],"proposed,":[164],"train":[167],"co-existence":[173],"unknown":[175],"parameters.":[179],"Results":[180],"demonstrate":[181],"that":[182],"realize":[188],"modeling":[196],"at":[202],"especially":[210],"excellent":[212],"generalization":[213],"performance":[214],"different":[216],"loads":[217],"roads.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":34},{"year":2025,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
