{"id":"https://openalex.org/W4400645626","doi":"https://doi.org/10.1109/iv55156.2024.10588737","title":"Optimal Feature Subset Selection Verification Strategy for Coordinated Lane Change Scenario of Intelligent Connected Vehicle","display_name":"Optimal Feature Subset Selection Verification Strategy for Coordinated Lane Change Scenario of Intelligent Connected Vehicle","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400645626","doi":"https://doi.org/10.1109/iv55156.2024.10588737"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588737","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5053335896","display_name":"Yunhao Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhao Hu","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112862666","display_name":"Yugong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugong Luo","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114191444","display_name":"Shurui Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shurui Guan","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112664033","display_name":"Jia Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Shi","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031855986","display_name":"Keqiang Li","orcid":"https://orcid.org/0000-0002-9333-7416"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiang Li","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053335896"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10573584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1127","last_page":"1134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.9742000102996826,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9742000102996826,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7277629375457764},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6236999034881592},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5621351599693298},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5092471837997437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45587676763534546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7277629375457764},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6236999034881592},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5621351599693298},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5092471837997437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45587676763534546},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588737","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1213379166","https://openalex.org/W2032780471","https://openalex.org/W2122555683","https://openalex.org/W2139980321","https://openalex.org/W2151910862","https://openalex.org/W2438413413","https://openalex.org/W2511072509","https://openalex.org/W2751901671","https://openalex.org/W2755725656","https://openalex.org/W2766734825","https://openalex.org/W2786235498","https://openalex.org/W2904011892","https://openalex.org/W2965254396","https://openalex.org/W3008367169","https://openalex.org/W3100672372","https://openalex.org/W3115488680","https://openalex.org/W3120093013","https://openalex.org/W4353056919","https://openalex.org/W4383113421","https://openalex.org/W4385801194","https://openalex.org/W6628044531"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"The":[0,207],"multi-vehicle":[1,32,170,220],"coordinated":[2,33,110,131,153,171,221],"lane":[3,34,111,132,154,172,222],"change":[4,35,112,133,155,173,223],"is":[5,40,80,89,122,139,149,161,178,184],"one":[6],"typical":[7],"application":[8],"of":[9,56,94,109,130,168,205,218],"intelligent":[10],"connected":[11],"vehicle(ICV),":[12],"which":[13],"must":[14],"be":[15],"systematically":[16],"and":[17,43,102,181,229],"thoroughly":[18],"verified":[19],"before":[20],"across-the-board":[21],"commercial":[22],"application.":[23],"Existing":[24],"evaluation":[25,190],"frameworks":[26],"face":[27],"challenges":[28],"in":[29,82,126,216],"effectively":[30],"verifying":[31],"algorithm,":[36,225],"whose":[37],"decision-making":[38,107,128,224],"process":[39],"more":[41,47],"complex":[42,48,230],"needs":[44],"to":[45,163],"consider":[46],"surrounding":[49,103],"environments.":[50,231],"This":[51],"complexity":[52],"introduces":[53],"the":[54,59,68,86,92,116,136,142,165,169,197,211,213],"\"curse":[55],"dimensionality\"":[57],"into":[58],"verification":[60,64,73,125,137,147,208,217],"process,":[61],"adversely":[62],"impacting":[63],"efficiency.":[65],"To":[66],"address":[67],"aforementioned":[69],"challenge,":[70],"an":[71],"efficient":[72],"strategy":[74,138,148,199],"with":[75,186],"optimal":[76,117,143],"feature":[77,88,118,144],"subset":[78,87,119,145],"selection":[79,120,146],"proposed":[81,198,214],"this":[83],"study.":[84],"Initially,":[85],"defined":[90],"by":[91],"integrals":[93],"position":[95],"probability":[96],"density":[97],"function":[98],"between":[99],"host":[100],"vehicle":[101],"vehicles":[104],"across":[105],"various":[106],"phases":[108,129],"algorithm.":[113,134,174],"Following":[114],"this,":[115],"method":[121,215],"presented":[123],"for":[124],"different":[127],"Subsequently,":[135],"delineated.":[140],"Finally,":[141],"implemented":[150],"within":[151,227],"a":[152,187,201],"scenario.":[156],"A":[157],"multi-start":[158],"search":[159],"algorithm":[160],"employed":[162],"explore":[164],"feasible":[166],"domain":[167],"Verification":[175],"through":[176],"simulation":[177],"then":[179],"executed,":[180],"its":[182],"efficiency":[183,203],"compared":[185],"widely":[188],"used":[189],"framework":[191],"based":[192],"on":[193],"Test":[194],"Matrix.":[195],"Notably,":[196],"demonstrates":[200],"minimum":[202],"improvement":[204],"85%.":[206],"results":[209],"underscore":[210],"effectiveness":[212],"phased":[219],"particularly":[226],"high-dimensional":[228]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
