{"id":"https://openalex.org/W2144825352","doi":"https://doi.org/10.1109/itsc.2007.4357741","title":"Model Estimation for Car-following Dynamics based on Adaptive Filtering Approach","display_name":"Model Estimation for Car-following Dynamics based on Adaptive Filtering Approach","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2144825352","doi":"https://doi.org/10.1109/itsc.2007.4357741","mag":"2144825352"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2007.4357741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2007.4357741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Intelligent Transportation Systems Conference","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/A5103171792","display_name":"Xiaoliang Ma","orcid":"https://orcid.org/0000-0001-5526-4511"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xiaoliang Ma","raw_affiliation_strings":["Center for Traffic Simulation Research (CTR), Royal Institute of Technology, Sweden","R. Inst. of Technol. (KTH), Stockholm"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Traffic Simulation Research (CTR), Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"R. Inst. of Technol. (KTH), Stockholm","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019386542","display_name":"Magnus Jansson","orcid":"https://orcid.org/0000-0002-6855-5868"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Magnus Jansson","raw_affiliation_strings":["Signal Processing, School of Electrical Engineering, Royal Institute of Technology, Stockholm, Sweden","R. Inst. of Technol. (KTH), Stockholm"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing, School of Electrical Engineering, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"R. Inst. of Technol. (KTH), Stockholm","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8791,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81869712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"824","last_page":"829"},"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":0.9991999864578247,"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":0.9976000189781189,"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/kalman-filter","display_name":"Kalman filter","score":0.7581388354301453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007313966751099},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6631028652191162},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6156363487243652},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5566297769546509},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5367411971092224},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.533842921257019},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5210844278335571},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.488386332988739},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4493454396724701},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43436944484710693},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43419209122657776},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.4145377278327942},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41452106833457947},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.40563955903053284},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3790937066078186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2554430365562439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24672791361808777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23359453678131104},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17990130186080933},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.09475383162498474}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7581388354301453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007313966751099},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6631028652191162},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6156363487243652},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5566297769546509},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5367411971092224},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.533842921257019},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5210844278335571},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.488386332988739},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4493454396724701},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43436944484710693},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43419209122657776},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.4145377278327942},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41452106833457947},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.40563955903053284},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3790937066078186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2554430365562439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24672791361808777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23359453678131104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17990130186080933},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.09475383162498474},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2007.4357741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2007.4357741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Intelligent Transportation Systems Conference","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":20,"referenced_works":["https://openalex.org/W199430866","https://openalex.org/W292716351","https://openalex.org/W579199739","https://openalex.org/W1492221128","https://openalex.org/W1537786506","https://openalex.org/W1540723801","https://openalex.org/W1968047199","https://openalex.org/W1972651187","https://openalex.org/W1983748616","https://openalex.org/W2034135611","https://openalex.org/W2044207452","https://openalex.org/W2045682702","https://openalex.org/W2047688790","https://openalex.org/W2056999283","https://openalex.org/W2064639385","https://openalex.org/W2105934661","https://openalex.org/W2110559222","https://openalex.org/W2123487311","https://openalex.org/W2124298315","https://openalex.org/W6616647006"],"related_works":["https://openalex.org/W1035502194","https://openalex.org/W4206024512","https://openalex.org/W2164404293","https://openalex.org/W2053335193","https://openalex.org/W4300476109","https://openalex.org/W2772311278","https://openalex.org/W4205759170","https://openalex.org/W2354299011","https://openalex.org/W4385993860","https://openalex.org/W4302337189"],"abstract_inverted_index":{"Identification":[0],"of":[1,15,20,33,38,51,76,92,103],"driver":[2,40],"behavior":[3],"models":[4],"using":[5,42,97],"data":[6,43],"has":[7,106],"been":[8,85,107],"an":[9],"essential":[10],"problem":[11],"for":[12],"the":[13,52,55,59,77,88,101,104],"development":[14],"high-fidelity":[16],"micro-simulation":[17],"and":[18,58,90],"design":[19],"vehicle-based":[21],"intelligent":[22],"systems.":[23],"In":[24],"this":[25],"research,":[26],"our":[27],"focus":[28],"is":[29,70],"on":[30,73],"model":[31,67,96],"estimation":[32,68,89],"car-following,":[34],"a":[35,65,93],"crucial":[36],"element":[37],"tactical":[39],"behavior,":[41],"collected":[44],"from":[45],"real":[46],"traffic.":[47],"By":[48],"theoretical":[49],"exploration":[50],"relation":[53],"between":[54],"Kalman":[56,79],"filter":[57,80],"recursive":[60],"least":[61],"square":[62],"(RLS)":[63],"method,":[64],"mathematical":[66],"framework":[69],"proposed":[71],"based":[72],"iterative":[74],"usage":[75],"extended":[78],"(EKF).":[81],"Numerical":[82],"experiments":[83],"have":[84],"conducted":[86],"in":[87],"evaluation":[91],"generalized":[94],"GM":[95],"closed-loop":[98],"simulations.":[99],"Accordingly,":[100],"applicability":[102],"approach":[105],"identified":[108],"with":[109],"further":[110],"research":[111],"potential.":[112]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
