{"id":"https://openalex.org/W4207041384","doi":"https://doi.org/10.3233/jifs-201680","title":"Evaluation and prediction of free driving behavior type based on fuzzy comprehensive support vector machine","display_name":"Evaluation and prediction of free driving behavior type based on fuzzy comprehensive support vector machine","publication_year":2022,"publication_date":"2022-01-25","ids":{"openalex":"https://openalex.org/W4207041384","doi":"https://doi.org/10.3233/jifs-201680"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-201680","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201680","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy 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/A5034383847","display_name":"Yucheng Zhao","orcid":"https://orcid.org/0000-0003-1286-2540"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Zhao","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049414195","display_name":"Jun Liang","orcid":"https://orcid.org/0000-0001-8942-0391"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Liang","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336427","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-0184-5446"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"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 and Power Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111949011","display_name":"Jinfeng Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Gong","raw_affiliation_strings":["China Automotive Technology Research Center Co., Ltd, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Automotive Technology Research Center Co., Ltd, Tianjin, China","institution_ids":["https://openalex.org/I4210094894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049414195"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":0.7219,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65061177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"42","issue":"4","first_page":"2863","last_page":"2879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.996999979019165,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8063336610794067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048839330673218},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5890255570411682},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5261494517326355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5054128170013428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014519691467285}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8063336610794067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048839330673218},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5890255570411682},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5261494517326355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5054128170013428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014519691467285},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-201680","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201680","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W74657086","https://openalex.org/W1027473064","https://openalex.org/W1610655393","https://openalex.org/W1974572928","https://openalex.org/W1994807229","https://openalex.org/W2002126548","https://openalex.org/W2028415021","https://openalex.org/W2058083416","https://openalex.org/W2061318076","https://openalex.org/W2184820086","https://openalex.org/W2286439238","https://openalex.org/W2296488711","https://openalex.org/W2460444878","https://openalex.org/W2521451673","https://openalex.org/W2589518599","https://openalex.org/W2613383116","https://openalex.org/W2618371843","https://openalex.org/W2748854270","https://openalex.org/W2781765535","https://openalex.org/W2786959087","https://openalex.org/W2789413323","https://openalex.org/W2792050303","https://openalex.org/W2804142070","https://openalex.org/W2898787463","https://openalex.org/W2972878726","https://openalex.org/W3001553400","https://openalex.org/W3004201439","https://openalex.org/W3007396174","https://openalex.org/W3012893977","https://openalex.org/W3014524176","https://openalex.org/W3016028015","https://openalex.org/W3016962274","https://openalex.org/W3125464730","https://openalex.org/W6643909100","https://openalex.org/W6718089986","https://openalex.org/W6746786184","https://openalex.org/W6776352002"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W3194539120","https://openalex.org/W2937631562","https://openalex.org/W4361795583","https://openalex.org/W3136979370","https://openalex.org/W2101819884","https://openalex.org/W3195168932","https://openalex.org/W1996541855","https://openalex.org/W2979979539","https://openalex.org/W2803710604"],"abstract_inverted_index":{"Driving":[0],"behavior":[1,18,25,38,49,76,93,116,127,159,208],"type":[2,39,160],"is":[3,28,34,40,85,180,195,229],"a":[4,88,220],"hotspot":[5],"in":[6,161,224,245],"transportation":[7],"field,":[8],"but":[9],"there":[10],"have":[11],"been":[12],"few":[13],"studies":[14],"on":[15,78],"free":[16,47,74,114],"driving":[17,24,37,48,56,75,115,126,158,201,235],"type.":[19,128],"The":[20,164],"factor":[21],"of":[22,53,67,73,90,157,166,176,216,230],"current":[23],"evaluation":[26,70,109,178],"model":[27,153],"single,":[29],"and":[30,36,63,71,120,142,147,240],"its":[31,190],"environmental":[32,97],"adaptability":[33],"insufficient,":[35],"difficult":[41],"to":[42,111,121,137,197],"predict":[43],"accurately.":[44],"In":[45,65],"addition,":[46],"as":[50,106],"one":[51],"kind":[52],"the":[54,124,130,133,139,144,150,155,173,181,211,246],"important":[55],"operation":[57],"behaviors":[58],"lacks":[59],"quantitative":[60],"assessment":[61],"methods":[62,170],"models.":[64],"view":[66],"these":[68],"deficiencies,":[69],"prediction":[72,156],"based":[77],"Fuzzy":[79],"Comprehensive":[80],"Support":[81],"Vector":[82],"Machine":[83],"(FC-SVM)":[84],"proposed.":[86],"Firstly,":[87],"variety":[89],"individual":[91],"decision-making":[92],"data":[94],"obfuscating":[95],"with":[96,186],"complexity":[98],"are":[99],"collected.":[100],"These":[101],"obtained":[102,151],"parameters":[103,110,141],"were":[104],"used":[105,132,149],"FC":[107],"multi-factor":[108],"quantitatively":[112],"evaluate":[113],"from":[117,206],"multiple":[118],"aspects,":[119],"qualitatively":[122],"derive":[123],"driver\u2019s":[125],"Further,":[129],"SVM":[131,145,152],"RBF":[134],"kernel":[135],"function":[136],"obtain":[138],"optimal":[140],"train":[143],"network,":[146],"it":[148],"for":[154,233],"short":[162],"time.":[163],"results":[165,179],"simulations":[167],"using":[168],"different":[169],"show":[171],"that":[172,199],"SD":[174],"value":[175,232],"FC-SVM":[177],"lowest,":[182],"only":[183],"1.273.":[184],"Compared":[185],"other":[187,207],"common":[188],"methods,":[189],"MacroP":[191],"reaches":[192],"89.2%.":[193],"It":[194],"interesting":[196],"find":[198],"aggressive":[200,217],"can":[202],"be":[203],"more":[204],"distinct":[205],"types.":[209],"Moreover,":[210],"mixed":[212,247],"traffic":[213,222,243],"flow":[214],"composed":[215],"driver":[218],"has":[219],"higher":[221],"efficiency":[223,244],"basic":[225],"sections.":[226],"This":[227],"work":[228],"great":[231],"improving":[234,241],"behavior,":[236],"reducing":[237],"road":[238,242],"congestion":[239],"intelligent":[248],"traffic.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}