{"id":"https://openalex.org/W4400648089","doi":"https://doi.org/10.1109/iv55156.2024.10588390","title":"SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles","display_name":"SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400648089","doi":"https://doi.org/10.1109/iv55156.2024.10588390"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588390","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588390","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/A5109747054","display_name":"Qi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078909812","display_name":"Yujie Tang","orcid":"https://orcid.org/0000-0002-9086-7948"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yujie Tang","raw_affiliation_strings":["Dalhousie University,Faculty of Computer Science,Halifax,Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University,Faculty of Computer Science,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054063853","display_name":"Xueyuan Li","orcid":"https://orcid.org/0000-0003-1112-5610"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyuan Li","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041015196","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0001-5119-0519"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072992339","display_name":"Xin Gao","orcid":"https://orcid.org/0000-0002-3367-3725"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Gao","raw_affiliation_strings":["Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042718225","display_name":"Zirui Li","orcid":"https://orcid.org/0000-0001-7056-4264"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zirui Li","raw_affiliation_strings":["TU Dresden,Chair of Traffic Process Automation, \"Friedrich List\" Faculty of Transport and Traffic Sciences,Germany"],"affiliations":[{"raw_affiliation_string":"TU Dresden,Chair of Traffic Process Automation, \"Friedrich List\" Faculty of Transport and Traffic Sciences,Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109747054"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13956543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"376","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9307000041007996,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9182000160217285,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6639715433120728},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49030807614326477},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3430388569831848},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15430516004562378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6639715433120728},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49030807614326477},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3430388569831848},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15430516004562378}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588390","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588390","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":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W341403209","https://openalex.org/W1992085841","https://openalex.org/W2076337359","https://openalex.org/W2461937780","https://openalex.org/W2487175822","https://openalex.org/W2604314403","https://openalex.org/W2736601468","https://openalex.org/W2740508249","https://openalex.org/W2783963507","https://openalex.org/W2792764867","https://openalex.org/W2962894046","https://openalex.org/W2964015378","https://openalex.org/W2970352618","https://openalex.org/W2970374010","https://openalex.org/W2971184796","https://openalex.org/W2995937146","https://openalex.org/W3005014946","https://openalex.org/W3124420883","https://openalex.org/W3167586364","https://openalex.org/W3206066055","https://openalex.org/W3211302749","https://openalex.org/W3212907084","https://openalex.org/W4200163854","https://openalex.org/W4200250731","https://openalex.org/W4212811589","https://openalex.org/W4214940160","https://openalex.org/W4221094282","https://openalex.org/W4283713790","https://openalex.org/W4286795917","https://openalex.org/W4297733535","https://openalex.org/W4298857966","https://openalex.org/W4312935905","https://openalex.org/W4378214840","https://openalex.org/W4381733136","https://openalex.org/W4385061177","https://openalex.org/W4385323311","https://openalex.org/W4385359649","https://openalex.org/W4386918874","https://openalex.org/W6745537798","https://openalex.org/W6748839928","https://openalex.org/W6756777732","https://openalex.org/W6839230042","https://openalex.org/W6839345928","https://openalex.org/W6857280164"],"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/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0],"collaborative":[1],"decision-making":[2,28,72],"technology":[3],"of":[4,41,73,123,161],"connected":[5],"and":[6,46,96,113,128,149,164],"autonomous":[7,14],"vehicles":[8],"(CAVs)":[9],"is":[10,79,93,104,135],"critical":[11],"in":[12,26,159],"today\u2019s":[13],"driving.":[15],"Recently,":[16],"graph":[17,64,99,114],"reinforcement":[18],"learning":[19],"(GRL)-based":[20],"methods":[21],"have":[22],"demonstrated":[23],"exemplary":[24],"performance":[25],"solving":[27],"problems":[29],"by":[30,98,106],"implementing":[31],"graphic":[32,121],"technologies.":[33],"However,":[34],"current":[35],"GRL-based":[36],"research":[37],"faces":[38],"the":[39,43,71,84,102,108,120,124,129,139,157],"challenge":[40],"modeling":[42],"interaction":[44,60],"completely":[45],"extracting":[47],"driving":[48,141],"features":[49,122],"efficiently.":[50],"To":[51],"address":[52],"these":[53],"issues,":[54],"this":[55],"paper":[56],"proposes":[57],"a":[58,76],"social":[59],"force":[61],"(SIF)":[62],"spatial-temporal":[63],"dynamic":[65,115],"attention":[66,116],"network":[67,111,117],"(SIF-STGDAN)":[68],"to":[69,81,118,137],"solve":[70],"CAVs.":[74,144],"First,":[75],"SIF":[77],"model":[78,165],"established":[80],"better":[82],"represent":[83],"mutual":[85],"effect":[86],"between":[87],"vehicles;":[88],"an":[89],"on-ramp":[90,125],"merging":[91],"scenario":[92,126],"then":[94],"constructed":[95],"modeled":[97],"representation.":[100],"Then,":[101],"SIF-STGDAN":[103,155],"proposed":[105,154],"combining":[107],"temporal":[109],"convolutional":[110],"(TCN)":[112],"extract":[119],"efficiently,":[127],"double":[130],"deep":[131],"q-learning":[132],"(DDQN)":[133],"algorithm":[134],"utilized":[136],"generate":[138],"optimized":[140],"strategies":[142],"for":[143],"Finally,":[145],"experiments":[146],"are":[147],"conducted,":[148],"results":[150],"show":[151],"that":[152],"our":[153],"outperforms":[156],"baselines":[158],"terms":[160],"safety,":[162],"efficiency,":[163],"stability.":[166]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}