{"id":"https://openalex.org/W4385301002","doi":"https://doi.org/10.1109/iv55152.2023.10186803","title":"Exploring Vehicular Interaction from Trajectories Based on Granger Causality","display_name":"Exploring Vehicular Interaction from Trajectories Based on Granger Causality","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385301002","doi":"https://doi.org/10.1109/iv55152.2023.10186803"},"language":"en","primary_location":{"id":"doi:10.1109/iv55152.2023.10186803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5050822564","display_name":"Xishun Liao","orcid":"https://orcid.org/0000-0002-7219-8971"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xishun Liao","raw_affiliation_strings":["University of California,Department of Electrical and Computer Engineering, and the Center for Environmental Research and Technology,Riverside,CA,92507"],"affiliations":[{"raw_affiliation_string":"University of California,Department of Electrical and Computer Engineering, and the Center for Environmental Research and Technology,Riverside,CA,92507","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006183071","display_name":"Guoyuan Wu","orcid":"https://orcid.org/0000-0001-6707-6366"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoyuan Wu","raw_affiliation_strings":["University of California,Department of Electrical and Computer Engineering, and the Center for Environmental Research and Technology,Riverside,CA,92507"],"affiliations":[{"raw_affiliation_string":"University of California,Department of Electrical and Computer Engineering, and the Center for Environmental Research and Technology,Riverside,CA,92507","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077257353","display_name":"Matthew Barth","orcid":"https://orcid.org/0000-0002-4735-5859"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew J. Barth","raw_affiliation_strings":["University of California,Department of Electrical and Computer Engineering, and the Center for Environmental Research and Technology,Riverside,CA,92507"],"affiliations":[{"raw_affiliation_string":"University of California,Department of Electrical and Computer Engineering, and the Center for Environmental Research and Technology,Riverside,CA,92507","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038831216","display_name":"Rohit Kumar Gupta","orcid":"https://orcid.org/0000-0002-1080-2651"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor Corporation (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohit Gupta","raw_affiliation_strings":["Toyota Motor North America R&D,InfoTech Labs,Mountain View,CA,94043"],"affiliations":[{"raw_affiliation_string":"Toyota Motor North America R&D,InfoTech Labs,Mountain View,CA,94043","institution_ids":["https://openalex.org/I4210093665"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009775690","display_name":"Kyungtae Han","orcid":"https://orcid.org/0000-0001-8291-5025"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor Corporation (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyungtae Han","raw_affiliation_strings":["Toyota Motor North America R&D,InfoTech Labs,Mountain View,CA,94043"],"affiliations":[{"raw_affiliation_string":"Toyota Motor North America R&D,InfoTech Labs,Mountain View,CA,94043","institution_ids":["https://openalex.org/I4210093665"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050822564"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58803914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10370","display_name":"Traffic and Road Safety","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9984999895095825,"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":0.9952999949455261,"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/interpretability","display_name":"Interpretability","score":0.9261102676391602},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.8423023223876953},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.7161439657211304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6561996936798096},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.642810046672821},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5455358624458313},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5410074591636658},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.501652717590332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45437169075012207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4374780058860779},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13404306769371033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0871809720993042}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9261102676391602},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.8423023223876953},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7161439657211304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6561996936798096},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.642810046672821},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5455358624458313},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5410074591636658},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.501652717590332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45437169075012207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4374780058860779},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13404306769371033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0871809720993042},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55152.2023.10186803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55152.2023.10186803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1978939541","https://openalex.org/W2105787136","https://openalex.org/W2107338474","https://openalex.org/W2178225550","https://openalex.org/W2330986605","https://openalex.org/W2786619647","https://openalex.org/W2809671526","https://openalex.org/W2911964244","https://openalex.org/W2951885001","https://openalex.org/W2962716677","https://openalex.org/W2980087597","https://openalex.org/W2990116160","https://openalex.org/W2991489433","https://openalex.org/W3004360435","https://openalex.org/W3004408449","https://openalex.org/W3011630888","https://openalex.org/W3035096461","https://openalex.org/W3048286597","https://openalex.org/W3108486966","https://openalex.org/W3125036594","https://openalex.org/W3139491754","https://openalex.org/W3204998033","https://openalex.org/W3213136423","https://openalex.org/W3217360279","https://openalex.org/W4285047693","https://openalex.org/W4285102269","https://openalex.org/W4286906397","https://openalex.org/W4287118690","https://openalex.org/W4288287716","https://openalex.org/W4308044468","https://openalex.org/W4308079974","https://openalex.org/W4360995340","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6747916571","https://openalex.org/W6765361892","https://openalex.org/W6768870957","https://openalex.org/W6770704954","https://openalex.org/W6781231738","https://openalex.org/W6790116906","https://openalex.org/W6798280219","https://openalex.org/W6801905799","https://openalex.org/W6803021035"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1972675643","https://openalex.org/W2154758532"],"abstract_inverted_index":{"Understanding":[0],"the":[1,19,37,72,79,89,108,116,121,139,167,171,175,184],"behavior":[2],"of":[3,22,39,110],"human":[4],"drivers":[5,12],"and":[6,17,24,33,46,65,77,112,124,142,178,180],"how":[7,97,182],"they":[8],"interact":[9],"with":[10],"other":[11,40],"is":[13,84,155],"crucial":[14],"to":[15,31,36,60,70,87,119,157],"develop":[16],"improve":[18],"decision-making":[20],"capabilities":[21],"connected":[23],"automated":[25],"vehicles":[26,187],"(CAVs).":[27],"This":[28],"allows":[29],"CAVs":[30],"anticipate":[32],"proactively":[34],"respond":[35],"actions":[38],"road":[41],"users":[42],"in":[43,50,146],"a":[44],"safe":[45],"efficient":[47],"manner,":[48],"especially":[49],"mixed-traffic":[51],"environments.":[52],"Most":[53],"existing":[54],"studies":[55,68],"rely":[56],"on":[57],"neural":[58,117],"networks":[59],"model":[61],"such":[62],"interaction":[63,127],"implicitly,":[64],"very":[66],"few":[67],"attempt":[69],"interpret":[71],"interaction.":[73],"Considering":[74],"its":[75],"interpretability":[76],"flexibility,":[78],"Granger":[80,122],"causality":[81,123],"(GC)":[82],"framework":[83],"widely":[85],"used":[86],"understand":[88],"relationships":[90,99],"between":[91],"different":[92],"agents,":[93],"as":[94,96],"well":[95],"these":[98],"change":[100],"over":[101],"time.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106],"integrate":[107],"knowledge":[109],"traffic":[111],"vehicle":[113],"dynamics":[114],"into":[115],"network":[118],"learn":[120],"explore":[125],"vehicular":[126,163],"from":[128],"multi-vehicle":[129],"trajectories.":[130],"The":[131,149],"proposed":[132],"algorithm":[133,154],"has":[134],"been":[135],"validated":[136],"using":[137],"both":[138],"INTERACTION":[140],"dataset":[141],"field":[143],"data":[144],"collected":[145],"Riverside,":[147],"California.":[148],"results":[150],"show":[151],"that":[152],"our":[153],"able":[156],"address":[158],"three":[159],"key":[160],"questions":[161],"regarding":[162],"interaction:":[164],"1)":[165],"whether":[166],"interactions":[168,176,185],"exist":[169],"between/among":[170,186],"vehicles;":[172],"2)":[173],"when":[174],"occur":[177],"terminate;":[179],"3)":[181],"strong":[183],"are.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}