{"id":"https://openalex.org/W3044838443","doi":"https://doi.org/10.1109/access.2020.3011550","title":"Driver Lane Change Intention Recognition of Intelligent Vehicle Based on Long Short-Term Memory Network","display_name":"Driver Lane Change Intention Recognition of Intelligent Vehicle Based on Long Short-Term Memory Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3044838443","doi":"https://doi.org/10.1109/access.2020.3011550","mag":"3044838443"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3011550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011550","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146622.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146622.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101942393","display_name":"Liang Tang","orcid":"https://orcid.org/0000-0002-2012-5367"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Tang","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2012-5367","affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027266566","display_name":"Hengyang Wang","orcid":"https://orcid.org/0000-0002-6054-243X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengyang Wang","raw_affiliation_strings":["School of Electrical Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6054-243X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenhao Zhang","orcid":"https://orcid.org/0000-0002-1035-0608"},"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":"Wenhao Zhang","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1035-0608","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038352501","display_name":"Mei Zhong-yi","orcid":"https://orcid.org/0000-0003-2844-0908"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Mei","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2844-0908","affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441194","display_name":"Liang Li","orcid":"https://orcid.org/0000-0002-1577-408X"},"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":"Liang Li","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1577-408X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101942393"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3613,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.92168604,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"136898","last_page":"136905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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/T10524","display_name":"Traffic control and management","score":0.9929999709129333,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9836000204086304,"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/computer-science","display_name":"Computer science","score":0.7956441640853882},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6002933979034424},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5918432474136353},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5700263381004333},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5552607178688049},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5072521567344666},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5019538402557373},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4649215042591095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46453553438186646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45222052931785583},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.41420796513557434},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35830700397491455},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3342069387435913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956441640853882},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6002933979034424},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5918432474136353},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5700263381004333},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5552607178688049},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5072521567344666},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5019538402557373},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4649215042591095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46453553438186646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45222052931785583},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.41420796513557434},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35830700397491455},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3342069387435913},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3011550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011550","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146622.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:993b45367eef46faaab0d9aacd435cb6","is_oa":true,"landing_page_url":"https://doaj.org/article/993b45367eef46faaab0d9aacd435cb6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 136898-136905 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3011550","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011550","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146622.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G7735342380","display_name":null,"funder_award_id":"51975057","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":37,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1493644597","https://openalex.org/W1901185864","https://openalex.org/W1966531211","https://openalex.org/W1985851931","https://openalex.org/W2034443555","https://openalex.org/W2120096422","https://openalex.org/W2123746946","https://openalex.org/W2134771009","https://openalex.org/W2145989380","https://openalex.org/W2162966954","https://openalex.org/W2343381408","https://openalex.org/W2398078376","https://openalex.org/W2424778531","https://openalex.org/W2566124080","https://openalex.org/W2575833674","https://openalex.org/W2591292776","https://openalex.org/W2614874499","https://openalex.org/W2616258440","https://openalex.org/W2752002226","https://openalex.org/W2785381674","https://openalex.org/W2794394369","https://openalex.org/W2805499321","https://openalex.org/W2903024881","https://openalex.org/W2932960505","https://openalex.org/W2935913115","https://openalex.org/W2957228561","https://openalex.org/W2958167848","https://openalex.org/W2974122361","https://openalex.org/W2990210508","https://openalex.org/W2998897962","https://openalex.org/W2999264266","https://openalex.org/W3011793074","https://openalex.org/W3023365787","https://openalex.org/W3025180768","https://openalex.org/W6628877408","https://openalex.org/W6684103038"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W42295635","https://openalex.org/W3134175566","https://openalex.org/W2530420969"],"abstract_inverted_index":{"Driving":[0],"intention":[1,51,153],"prediction":[2,88,114,144,160],"is":[3,45,90,166],"one":[4],"of":[5,12,82,101,107,113,170],"the":[6,10,54,80,86,105,111,128,142,149,158],"key":[7],"technologies":[8],"for":[9],"development":[11],"advanced":[13,36],"assisted":[14],"driving":[15,30,77],"systems":[16],"(ADAS),":[17],"which":[18,165],"could":[19],"greatly":[20],"reduce":[21],"traffic":[22],"accidents":[23],"caused":[24],"by":[25],"lane":[26,49,108,151],"change":[27,50,117,121,152],"and":[28,58,79,97,118,157],"ensure":[29],"safety.":[31],"In":[32],"this":[33],"paper,":[34],"an":[35],"predictive":[37],"method":[38,172],"based":[39,61,131],"on":[40,62,122,132],"Multi-LSTM":[41],"(Long":[42],"Short-Term":[43],"Memory)":[44],"proposed":[46,143],"to":[47,92],"predict":[48,148],"effectively.":[52],"First,":[53],"training":[55],"data":[56,66,119],"set":[57,60,67],"test":[59,123],"real":[63],"road":[64],"information":[65],"NGSIM":[68],"(Next":[69],"Generation":[70],"SIMulation)":[71],"are":[72,125,136],"built":[73],"considering":[74],"ego":[75],"vehicle":[76,94,150],"state":[78],"influence":[81],"surrounding":[83],"vehicles.":[84],"Second,":[85],"Multi-LSTM-based":[87],"controller":[89],"constructed":[91],"learn":[93],"behavior":[95],"characteristics":[96],"time":[98],"series":[99],"relation":[100],"various":[102],"states":[103],"in":[104,154],"process":[106],"change.":[109],"Then,":[110],"influences":[112],"model":[115,145],"structure":[116,120],"results":[124,139],"verified.":[126],"Finally,":[127],"verification":[129],"tests":[130],"HIL":[133],"(Hardware-in-the-Loop)":[134],"simulation":[135],"constructed.":[137],"The":[138],"show":[140],"that":[141,169],"can":[146,162],"accurately":[147],"highway":[155],"scenarios":[156],"maximum":[159],"accuracy":[161],"reach":[163],"83.75%,":[164],"higher":[167],"than":[168],"common":[171],"SVM":[173],"(Support":[174],"Vector":[175],"Machine).":[176]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":8}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}