{"id":"https://openalex.org/W3214264104","doi":"https://doi.org/10.1109/ifuzzy53132.2021.9605087","title":"Autonomous Vehicle Trajectory Combined Prediction model based on C-LSTM","display_name":"Autonomous Vehicle Trajectory Combined Prediction model based on C-LSTM","publication_year":2021,"publication_date":"2021-10-05","ids":{"openalex":"https://openalex.org/W3214264104","doi":"https://doi.org/10.1109/ifuzzy53132.2021.9605087","mag":"3214264104"},"language":"en","primary_location":{"id":"doi:10.1109/ifuzzy53132.2021.9605087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy53132.2021.9605087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","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/A5065717118","display_name":"Zherui Zhong","orcid":"https://orcid.org/0000-0002-0720-9814"},"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":true,"raw_author_name":"Zherui Zhong","raw_affiliation_strings":["The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103127011","display_name":"Runmei Li","orcid":"https://orcid.org/0000-0002-9034-1399"},"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":"Runmei Li","raw_affiliation_strings":["The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015916445","display_name":"Jin Chai","orcid":null},"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":"Jin Chai","raw_affiliation_strings":["The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773352","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0001-9658-7093"},"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":"Jian Wang","raw_affiliation_strings":["The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"The School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065717118"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.3559,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59486864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9976999759674072,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.9110966324806213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749227285385132},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7554256319999695},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7478114366531372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498417615890503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34169360995292664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3376922607421875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1637769341468811}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.9110966324806213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749227285385132},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7554256319999695},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7478114366531372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498417615890503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34169360995292664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3376922607421875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1637769341468811},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifuzzy53132.2021.9605087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifuzzy53132.2021.9605087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5799999833106995}],"awards":[],"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":9,"referenced_works":["https://openalex.org/W2061432680","https://openalex.org/W2101545882","https://openalex.org/W2112796928","https://openalex.org/W2892122874","https://openalex.org/W2963815829","https://openalex.org/W2995885013","https://openalex.org/W2996198898","https://openalex.org/W3105115779","https://openalex.org/W6756908511"],"related_works":["https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4323768008","https://openalex.org/W4248382324","https://openalex.org/W4360995134","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W3023605104","https://openalex.org/W2383578611","https://openalex.org/W2987583674"],"abstract_inverted_index":{"There":[0],"should":[1],"be":[2],"a":[3,46,75],"complex":[4],"driving":[5,41],"environment":[6],"formed":[7],"by":[8,87,116],"manned":[9],"and":[10,16,31,62,106,120,134,141],"unmanned":[11],"vehicles":[12,21,27,37,73],"with":[13,84,129],"highly":[14],"uncertain":[15],"dynamic":[17],"interaction":[18,132],"when":[19],"autonomous":[20],"enter":[22],"actual":[23],"traffic":[24],"flow.":[25],"Autonomous":[26],"need":[28],"to":[29,38,68],"detect":[30],"analyze":[32],"the":[33,89,100,104,109,125,139],"movement":[34],"of":[35,103,144],"surrounding":[36,130],"make":[39,108],"safe":[40],"decisions.":[42],"This":[43],"paper":[44],"proposes":[45],"Clustering":[47,60],"Convolution-LSTM":[48,63],"(CC-LSTM)":[49],"vehicle":[50,131],"trajectory":[51,92,105,110],"prediction":[52,127],"model":[53,128],"which":[54],"is":[55,78],"made":[56],"up":[57],"two":[58],"modules:":[59],"module":[61],"(C-LSTM)":[64],"module.":[65],"In":[66],"order":[67],"find":[69],"spatial-temporal":[70],"features":[71,102,118,136],"in":[72],"trajectory,":[74],"clustering":[76],"algorithm":[77],"proposed.":[79],"Input":[80],"data":[81,119],"are":[82,114],"constructed":[83],"temporal":[85],"information":[86,133],"choosing":[88],"optimal":[90],"history":[91],"length.":[93],"The":[94],"convolution":[95],"LSTM":[96],"network":[97],"layer":[98],"extracts":[99],"spatial":[101],"then":[107],"prediction.":[111,145],"Two":[112],"modules":[113],"trained":[115],"different":[117],"combined.":[121],"Simulation":[122],"shows":[123],"that":[124],"CC-LSTM":[126],"selected":[135],"can":[137],"meet":[138],"real-time":[140],"accuracy":[142],"requirements":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}